Wireless sensor networks (WSN) consist of tiny sensor nodes scattered on a relatively large geographical area. The nodes are cooperative in nature, that is, they can communication with one another or to a central control unit. The work of each such node is to collect the information from surrounding like pressure, temperature, humidity, magnetic fields, optical fields etc [2]. Actually they are ad hoc network with some additional constraints. The node should be capable enough for power consumption, collection of data, self healing, mobility, self configuration to name a few. These features of WSN node differentiate it from conventional ad hoc networks [14]. This survey paper aims at reporting wireless sensor network, its design, networking of nodes, and security in system. In this paper, fundamentals of wireless sensor network are discussed. Different component like sensor, microcontroller, battery require for sensor networks are explained in detail. We have tried to include all the aspects of WSN. The Protocols, Operating Systems, tools require for WSN node programming and some security issues are also discussed.
SECURITY AND KEY MANAGEMENT CHALLENGES OVER WSN (A SURVEY) IJCSES Journal
This document discusses security and key management challenges in wireless sensor networks (WSNs). It provides an overview of WSNs, their applications, advantages and disadvantages. It also discusses open research challenges in WSNs, including interoperability, scalability, energy efficiency, mobility management, deployment, localization and routing. The document outlines security objectives for WSNs including confidentiality, authentication, integrity, freshness and availability. It describes threat models for WSNs and different types of attacks. Finally, it discusses key management operations and goals that are important for security in WSNs.
The document discusses wireless sensor networks and digital signal processing. It provides an overview of WSNs, describing key constraints like power management and protocols. It discusses several data fusion approaches used in WSN applications like beamforming, Kalman filtering, and filter banks. It also covers energy harvesting techniques that can power sensor nodes, reducing reliance on batteries and extending network lifetime.
This document discusses wireless sensor networks (WSNs) and provides details about their characteristics and technologies. It begins by introducing WSNs and their role in enabling applications like smart grids and the internet of things. It then discusses key aspects of WSNs such as their topology, access network technologies, data aggregation techniques, and self-organizing capabilities. Specific technologies covered include 6LoWPAN for connecting WSNs to IP networks, adaptive flow control for unstable wireless links, and MEMS sensors for miniaturization. The document provides an in-depth overview of WSN technologies and design considerations.
EFFECT OF HASH FUNCTION ON PERFORMANCE OF LOW POWER WAKE UP RECEIVER FOR WIRE...IJNSA Journal
Next generation network will consist of different types of wireless networks like WSN, Wi-Fi, WiMAX, UMTS, LTE and etc. Wireless Sensor Network (WSN) finds unique and special application as compared to the said networks because sensors are deployed in a very secret, awkward and hostile environment like battle field etc. Various wireless sensor nodes are interconnected and form a Wireless Sensor Network. Sensor nodes once deployed in a region, can’t be repaired thus the power system deployed in the nodes becomes a major key issue i.e. how long its battery life can be utilised. Another major issue of WSN is to have a more secured network which is a function of hash keys. Increase usage of hash key means enhanced security but at the cost of power and area. Sensor systems must utilize the minimal possible energy while operating over secured and wide range of operating scenarios. In this paper, we have proposed a novel ID matching mechanism that uses a Bloom filter to realize wake-up wireless communication. Paper uses hash function for uniquely recognizing particular sensor- node- cluster among all clusters. Paper also shows the effect of number of hash functions on performance of wireless sensor node. The design and implementation of a wireless wake-up receiver module simulation reveals
that proposed model consume 724nW dynamic power and with bloom filter, the proposed model consumes dynamic power 85% less than the consumption cited in “Takiguchi” model[1]. Dynamic power is further reduced by 10% when parallel processing is implemented. Finally paper provides a novel approach to save the dynamic power and subsequently increases the battery life of wireless sensor node and network as a whole.
Wireless Sensor networks are dense networks, which consist of small low cost
sensors having severely constrained computational and energy resources, which operate in
an adhoc environment. Sensor network combines the aspects of distributed sensing,
computing and communication. Despite the numerous applications of sensor networks in
various fields there are various issues which need to be explored and resolved such as
resource constraints, routing, coverage, security, information collection and gathering etc.
In this paper we aim to provide the detailed overview of the wireless sensor technologies and
issues related to them, such as advancement of sensor technology, architecture, applications,
issues and the work done in the field of routing, coverage and security.
Concepts and evolution of research in the field of wireless sensor networksIJCNCJournal
This document provides a comprehensive review of research in the field of wireless sensor networks (WSNs). It begins with an introduction to WSNs and discusses sensor nodes, network architectures, communication protocols, applications, and open research issues. It then reviews several related surveys that focus on specific aspects of WSNs such as applications, energy consumption techniques, security protocols, and testbeds. The document aims to provide an overview of all aspects of WSN research and identify promising directions like bio-inspired solutions. It discusses sensors and network types, architectures and services, and challenges like fault tolerance.
A wireless sensor network consists of spatially distributed sensor nodes that monitor physical conditions and communicate wirelessly. Nodes sense data, process it, and transmit it to other nodes or a central gateway. The gateway provides a connection to the wired world to collect, process, analyze and present measurement data. Routers can extend the communication range between nodes and the gateway. Sensor nodes are small, require little power, are programmable and cost-effective to purchase and maintain.
Survey of Wireless Sensor Network Applicationijsrd.com
Sensor networks offer a powerful combination of distributed sensing, computing and communication. They lend themselves to countless applications and, at the same time, offer numerous challenges due to their peculiarities, primarily the stringent energy constraints to which sensing nodes are typically subjected. The distinguishing traits of sensor networks have a direct impact on the hardware design of the nodes at least four levels: power source, processor, communication hardware, and sensors. Various hardware platforms have already been designed to test the many ideas spawned by the re-search community and to implement applications to virtually all fields of science and technology. We are convinced that CAS will be able to provide a substantial contribution to the development of this exciting field. A wireless sensor network (WSN) has important applications such as remote environmental monitoring and target tracking. This has been enabled by the availability, particularly in recent years, of sensors that are smaller, cheaper, and intelligent. These sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. The design of a WSN depends significantly on the application, and it must consider factors such as the environment, the application's design objectives, cost, hardware, and system constraints. The goal of our survey is to present a comprehensive review of the recent literature since the publication of [I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, A survey on sensor networks, IEEE Communications Magazine, 2002]. Following a top-down approach, we give an overview of several new applications and then review the literature on various aspects of WSNs. We classify the problems into three different categories: (1) Internal platform and underlying operating system, (2) Communication protocol stack, and (3) Network services, provisioning, and deployment. We review the major development in these three categories and outline new challenges.
SECURITY AND KEY MANAGEMENT CHALLENGES OVER WSN (A SURVEY) IJCSES Journal
This document discusses security and key management challenges in wireless sensor networks (WSNs). It provides an overview of WSNs, their applications, advantages and disadvantages. It also discusses open research challenges in WSNs, including interoperability, scalability, energy efficiency, mobility management, deployment, localization and routing. The document outlines security objectives for WSNs including confidentiality, authentication, integrity, freshness and availability. It describes threat models for WSNs and different types of attacks. Finally, it discusses key management operations and goals that are important for security in WSNs.
The document discusses wireless sensor networks and digital signal processing. It provides an overview of WSNs, describing key constraints like power management and protocols. It discusses several data fusion approaches used in WSN applications like beamforming, Kalman filtering, and filter banks. It also covers energy harvesting techniques that can power sensor nodes, reducing reliance on batteries and extending network lifetime.
This document discusses wireless sensor networks (WSNs) and provides details about their characteristics and technologies. It begins by introducing WSNs and their role in enabling applications like smart grids and the internet of things. It then discusses key aspects of WSNs such as their topology, access network technologies, data aggregation techniques, and self-organizing capabilities. Specific technologies covered include 6LoWPAN for connecting WSNs to IP networks, adaptive flow control for unstable wireless links, and MEMS sensors for miniaturization. The document provides an in-depth overview of WSN technologies and design considerations.
EFFECT OF HASH FUNCTION ON PERFORMANCE OF LOW POWER WAKE UP RECEIVER FOR WIRE...IJNSA Journal
Next generation network will consist of different types of wireless networks like WSN, Wi-Fi, WiMAX, UMTS, LTE and etc. Wireless Sensor Network (WSN) finds unique and special application as compared to the said networks because sensors are deployed in a very secret, awkward and hostile environment like battle field etc. Various wireless sensor nodes are interconnected and form a Wireless Sensor Network. Sensor nodes once deployed in a region, can’t be repaired thus the power system deployed in the nodes becomes a major key issue i.e. how long its battery life can be utilised. Another major issue of WSN is to have a more secured network which is a function of hash keys. Increase usage of hash key means enhanced security but at the cost of power and area. Sensor systems must utilize the minimal possible energy while operating over secured and wide range of operating scenarios. In this paper, we have proposed a novel ID matching mechanism that uses a Bloom filter to realize wake-up wireless communication. Paper uses hash function for uniquely recognizing particular sensor- node- cluster among all clusters. Paper also shows the effect of number of hash functions on performance of wireless sensor node. The design and implementation of a wireless wake-up receiver module simulation reveals
that proposed model consume 724nW dynamic power and with bloom filter, the proposed model consumes dynamic power 85% less than the consumption cited in “Takiguchi” model[1]. Dynamic power is further reduced by 10% when parallel processing is implemented. Finally paper provides a novel approach to save the dynamic power and subsequently increases the battery life of wireless sensor node and network as a whole.
Wireless Sensor networks are dense networks, which consist of small low cost
sensors having severely constrained computational and energy resources, which operate in
an adhoc environment. Sensor network combines the aspects of distributed sensing,
computing and communication. Despite the numerous applications of sensor networks in
various fields there are various issues which need to be explored and resolved such as
resource constraints, routing, coverage, security, information collection and gathering etc.
In this paper we aim to provide the detailed overview of the wireless sensor technologies and
issues related to them, such as advancement of sensor technology, architecture, applications,
issues and the work done in the field of routing, coverage and security.
Concepts and evolution of research in the field of wireless sensor networksIJCNCJournal
This document provides a comprehensive review of research in the field of wireless sensor networks (WSNs). It begins with an introduction to WSNs and discusses sensor nodes, network architectures, communication protocols, applications, and open research issues. It then reviews several related surveys that focus on specific aspects of WSNs such as applications, energy consumption techniques, security protocols, and testbeds. The document aims to provide an overview of all aspects of WSN research and identify promising directions like bio-inspired solutions. It discusses sensors and network types, architectures and services, and challenges like fault tolerance.
A wireless sensor network consists of spatially distributed sensor nodes that monitor physical conditions and communicate wirelessly. Nodes sense data, process it, and transmit it to other nodes or a central gateway. The gateway provides a connection to the wired world to collect, process, analyze and present measurement data. Routers can extend the communication range between nodes and the gateway. Sensor nodes are small, require little power, are programmable and cost-effective to purchase and maintain.
Survey of Wireless Sensor Network Applicationijsrd.com
Sensor networks offer a powerful combination of distributed sensing, computing and communication. They lend themselves to countless applications and, at the same time, offer numerous challenges due to their peculiarities, primarily the stringent energy constraints to which sensing nodes are typically subjected. The distinguishing traits of sensor networks have a direct impact on the hardware design of the nodes at least four levels: power source, processor, communication hardware, and sensors. Various hardware platforms have already been designed to test the many ideas spawned by the re-search community and to implement applications to virtually all fields of science and technology. We are convinced that CAS will be able to provide a substantial contribution to the development of this exciting field. A wireless sensor network (WSN) has important applications such as remote environmental monitoring and target tracking. This has been enabled by the availability, particularly in recent years, of sensors that are smaller, cheaper, and intelligent. These sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. The design of a WSN depends significantly on the application, and it must consider factors such as the environment, the application's design objectives, cost, hardware, and system constraints. The goal of our survey is to present a comprehensive review of the recent literature since the publication of [I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, A survey on sensor networks, IEEE Communications Magazine, 2002]. Following a top-down approach, we give an overview of several new applications and then review the literature on various aspects of WSNs. We classify the problems into three different categories: (1) Internal platform and underlying operating system, (2) Communication protocol stack, and (3) Network services, provisioning, and deployment. We review the major development in these three categories and outline new challenges.
This document provides an overview of wireless sensor networks (WSNs), including their technologies, applications, standards, design features, and evolutions. WSNs enable new applications through spatially distributed sensors that monitor physical conditions and wirelessly transmit data to a central location. They require a balance between communication and processing capabilities given constraints like low power and complexity. The IEEE 802.15.4 standard enables many WSN applications. Performance depends on network size and data type. Sensors are key network components that detect physical properties and convert them to signals. Common sensor types include thermal, electromagnetic, mechanical, and motion sensors. WSNs face unique challenges from ad hoc deployment and constrained node resources.
IRJET- A Comprehensive Study in Wireless Sensor Network (WSN) using Artif...IRJET Journal
This document discusses using an artificial bee colony (ABC) algorithm to optimize wireless sensor networks (WSN). It begins with an introduction to WSNs, including their topologies, types, limitations, and applications. It then provides details on ABC algorithms and how they can be applied to improve the performance of WSNs by addressing issues like energy efficiency, reliable data transmission, and network lifetime. The document concludes that ABC algorithms have been shown to be effective optimization techniques for complex problems in WSNs.
SURVEY OF TRUST MODELS IN DIFFERENT NETWORK DOMAINSijasuc
This paper introduces the security and trust concepts in wireless sensor networks and explains the
difference between them, stating that even though both terms are used interchangeably when defining a
secure system, they are not the same. The difference between reputation and trust is also explained,
highlighting that reputation partially affects trust. A survey of trust and reputation systems in various
domains is conducted, with more details given to models in ad-hoc and sensor networks as they are closely
related to each other and to our research interests. The methodologies used to model trust and their
references are presented. The factors affecting trust updating are summarised and some examples of the
systems in which these factors have been implemented are given. The survey states that, even though
researchers have started to explore the issue of trust in wireless sensor networks, they are still examining
the trust associated with routing messages between nodes (binary events). However, wireless sensor
networks are mainly deployed to monitor events and report data, both continuous and discrete. This leads
to the development of new trust models addressing the continuous data issue and also to combine the data
trust and the communication trust to infer the total trust.
A survey on bandwidth allocation schemes in wsns using tdma based mac protocoleSAT Journals
This document summarizes a survey on bandwidth allocation schemes in wireless sensor networks using TDMA-based MAC protocols. It discusses how TDMA-based MAC protocols divide time into frames and time slots to allow nodes to transmit without interference. This avoids collisions and improves energy efficiency compared to contention-based protocols. The document reviews different MAC protocols and bandwidth allocation techniques for wireless sensor networks, focusing on the advantages of using TDMA, such as guaranteed delays, bandwidth efficiency and avoiding wasted energy from collisions. It also notes some limitations of TDMA including the need for time synchronization and limited adaptability to network changes.
This document describes an IoT-based environmental monitoring system using a wireless sensor network. It discusses key components of the system including sensor nodes, a Raspberry Pi gateway, and an application server. The sensor nodes collect data from temperature, light, and moisture sensors. The Raspberry Pi processes and transmits the sensor data via a wireless network. An application server receives the data, stores it, and provides access to users and other IoT applications. The system aims to enable long-term, low-cost environmental monitoring for various IoT applications.
This document provides an overview of wireless sensor networks including their topologies, architectures, and challenges. It discusses common topologies like bus, tree, star, ring, mesh, and grid. Sensor nodes typically consist of microcontrollers, transceivers, memory, power sources, and one or more sensors. Wireless sensor networks can be used for applications in fields like military, healthcare, environment, and industries. However, challenges exist due to limited battery power of sensor nodes, requiring energy-efficient techniques.
This document discusses using energy harvesting from multiple sources to power unattended ground sensors for border security applications. It describes a system using Texas Micropower's energy harvesting devices and Crane Wireless Monitoring Solutions' sensor nodes. The energy harvesters are suitable for low-cost, high-volume production and can harvest energy from vibrations and solar power. Preliminary results indicate the feasibility of using a single power management solution that allows multi-source energy harvesting to increase sensor network lifetime for remote monitoring applications such as border security.
Optimal Operating Performances of Wireless Protocols for Intelligent Sensors ...chokrio
The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wire-less technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time con-straints.
Advanced Software Engineering course - Guest Lecture
A4WSN- Architecture 4 Wireless Sensor Networks
Here you can find the research paper presenting the concepts described in this lecture: http://goo.gl/XBB4k
This presentation has been developed in the context of the Advanced Software Engineering course at the DISIM Department of the University of L’Aquila (Italy).
http://www.di.univaq.it/malavolta
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This document summarizes a study on analyzing sensor network mobility using the OMNeT++ simulation framework and MiXiM modeling toolkit. The study models sensor node mobility and examines how various parameters affect mobility and energy consumption. The simulation involves 5 mobile sensor nodes moving randomly within a 700m x 700m area. Results show that average packet delay and energy consumption increase with higher node mobility. MiXiM provides mobility and connectivity handling in OMNeT++ and allows modeling mobile wireless networks like sensor networks.
IRJET- Energy Efficient Protocol in Wireless Sensor NetworkIRJET Journal
This document summarizes an academic paper that proposes an energy efficient protocol for wireless sensor networks. It begins with an introduction to wireless sensor networks and some of the key challenges, particularly limited energy. It then reviews an existing protocol called LEACH (Low Energy Adaptive Clustering Hierarchy) that aims to distribute energy use among sensor nodes. However, LEACH may not distribute energy optimally if nodes have different starting energy levels. The paper proposes using DEEC (Distributed Energy-Efficient Clustering), which aims to improve network lifetime by more evenly distributing energy use among nodes, regardless of their initial energy levels.
To analyze the efficiency of heterogeneous wireless sensor network over homogenous wireless sensor network.
To analyze the stability, life time ,through put.
WSN nodes power consumption using multihop routing protocol for illegal cutti...TELKOMNIKA JOURNAL
The need for an automation system from a remote area cannot be separated from the role of the wireless sensor network. However, the battery consumption is still a problem that influences the lifetime of the system. This research focused on studying how to characterize the power consumption on each sensor node using multihop routing protocol in the illegal logging field, to get the prediction lifetime of the network. The system is designed by using six sensor nodes in a master-slave connection and implemented in a tree topology. Each sensor node is consisting of a sound sensor, vibration sensor, Xbee communication, current and voltage sensor, and Arduino nano. The system is tested using battery 10050 mAH with several scenarios to have calculated how long the battery lifetime can be predicted. The results stated that the master node on the network depleted the power of the battery faster than the slave node since the more slaves connected to the master, the more energy the battery consumes.
Comparative Performance Analysis of Wireless Communication Protocols for Inte...chokrio
The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wireless technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time constraints.
An Improved Enhanced Real Time Routing Protocol (IERT) for Mobile Wireless Se...IRJET Journal
This document discusses an improved enhanced real-time routing protocol (IERT) for mobile wireless sensor networks. The protocol aims to increase network lifetime by using a backup coordinator node if the primary coordinator fails. It also uses a corona-based routing structure to reduce routing holes and increase throughput. The protocol is simulated using NS2 and is shown to increase network lifetime by 30% compared to the previous ERTLD protocol, while also achieving lower delays and higher delivery rates. It provides improvements over real-time routing protocols for wireless sensor networks.
An Intuitionistic Fuzzy Sets Implementation for Key Distribution in Hybrid Me...IJAAS Team
This document presents a new model for securing key distribution in wireless sensor networks (WSNs) using intuitionistic fuzzy sets. The model determines the appropriate length of an intermediate encryption key based on network parameters like node count, node authentication history, trusted neighbor count, key change frequency, and desired key length. An intuitionistic fuzzy sets implementation assigns membership and non-membership values to each parameter. Based on the combinations of parameter values, intuitionistic rules output a session key scale and corresponding key length ranging from very low to very high security. The model was experimentally shown to efficiently create and distribute keys compared to other models.
Wireless sensor network plays vital role in today’s life, it is a collection of sensors that are scattered in different directions which are further used to control and measure the physical conditions of environment as well as to organize to the data somewhere at centre location. As in context of greenhouse we can measure various parameters such as temperature, humidity, water level, insect monitoring and light intensity.
A Brief Research Study Of Wireless Sensor NetworkCassie Romero
The document summarizes a research study on wireless sensor networks (WSNs). It discusses WSNs applications in various fields like military, environment, healthcare, homes, and traffic control. It also examines key challenges in WSNs like energy consumption, data reporting models, and security issues. Additionally, the document reviews common simulation platforms used to test WSN protocols and evaluates their features, interfaces, support, scalability and availability of WSN modules.
The document discusses wireless sensor networks (WSNs). It describes WSNs as consisting of distributed sensors that monitor conditions like temperature, sound, and pressure and transmit data to a central location. Modern networks are bidirectional, enabling sensor control. WSNs were initially developed for military surveillance but are now used in industrial and consumer applications. They pose challenges in deployment, location tracking, coverage, and integration of different sensor types on a single platform. Advances in energy harvesting and self-organizing networks could enable millions of low-cost sensor nodes. WSNs have applications in intrusion detection, health monitoring, and location detection.
This document summarizes a survey paper on wireless sensor networks. It begins by defining a wireless sensor network as a collection of spatially distributed autonomous sensors that cooperatively monitor physical conditions like temperature, pressure, and pass data to a centralized point. The key components of a sensor node are then described as a sensing unit, processing unit, transceiver, and power source. Different types of wireless sensor networks are outlined, including terrestrial, underground, underwater, multimedia, and mobile networks. Characteristics and applications of wireless sensor networks in fields like military, environment, health, home automation, and commerce are also summarized.
Design Issues and Applications of Wireless Sensor Networkijtsrd
Efficient design and implementation of wireless sensor networks has become a hot area of research in recent years, due to the vast potential of sensor networks to enable applications that connect the physical world to the virtual world. By networking large numbers of tiny sensor nodes, it is possible to obtain data about physical phenomena that was difficult or impossible to obtain in more conventional ways. In future as advances in micro-fabrication technology allow the cost of manufacturing sensor nodes to continue to drop, increasing deployments of wireless sensor networks are expected, with the networks eventually growing to large numbers of nodes.Potential applications for such large-scale wireless sensor networks exist in a variety of fields, including medical monitoring, environmental monitoring, surveillance, home security, military operations, and industrial machine monitoring etc. G. Swarnalatha | R. Srilalitha"Design Issues and Applications of Wireless Sensor Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd4688.pdf http://www.ijtsrd.com/engineering/computer-engineering/4688/design-issues-and-applications-of-wireless-sensor-network/g-swarnalatha
This document provides an overview of wireless sensor networks (WSNs), including their technologies, applications, standards, design features, and evolutions. WSNs enable new applications through spatially distributed sensors that monitor physical conditions and wirelessly transmit data to a central location. They require a balance between communication and processing capabilities given constraints like low power and complexity. The IEEE 802.15.4 standard enables many WSN applications. Performance depends on network size and data type. Sensors are key network components that detect physical properties and convert them to signals. Common sensor types include thermal, electromagnetic, mechanical, and motion sensors. WSNs face unique challenges from ad hoc deployment and constrained node resources.
IRJET- A Comprehensive Study in Wireless Sensor Network (WSN) using Artif...IRJET Journal
This document discusses using an artificial bee colony (ABC) algorithm to optimize wireless sensor networks (WSN). It begins with an introduction to WSNs, including their topologies, types, limitations, and applications. It then provides details on ABC algorithms and how they can be applied to improve the performance of WSNs by addressing issues like energy efficiency, reliable data transmission, and network lifetime. The document concludes that ABC algorithms have been shown to be effective optimization techniques for complex problems in WSNs.
SURVEY OF TRUST MODELS IN DIFFERENT NETWORK DOMAINSijasuc
This paper introduces the security and trust concepts in wireless sensor networks and explains the
difference between them, stating that even though both terms are used interchangeably when defining a
secure system, they are not the same. The difference between reputation and trust is also explained,
highlighting that reputation partially affects trust. A survey of trust and reputation systems in various
domains is conducted, with more details given to models in ad-hoc and sensor networks as they are closely
related to each other and to our research interests. The methodologies used to model trust and their
references are presented. The factors affecting trust updating are summarised and some examples of the
systems in which these factors have been implemented are given. The survey states that, even though
researchers have started to explore the issue of trust in wireless sensor networks, they are still examining
the trust associated with routing messages between nodes (binary events). However, wireless sensor
networks are mainly deployed to monitor events and report data, both continuous and discrete. This leads
to the development of new trust models addressing the continuous data issue and also to combine the data
trust and the communication trust to infer the total trust.
A survey on bandwidth allocation schemes in wsns using tdma based mac protocoleSAT Journals
This document summarizes a survey on bandwidth allocation schemes in wireless sensor networks using TDMA-based MAC protocols. It discusses how TDMA-based MAC protocols divide time into frames and time slots to allow nodes to transmit without interference. This avoids collisions and improves energy efficiency compared to contention-based protocols. The document reviews different MAC protocols and bandwidth allocation techniques for wireless sensor networks, focusing on the advantages of using TDMA, such as guaranteed delays, bandwidth efficiency and avoiding wasted energy from collisions. It also notes some limitations of TDMA including the need for time synchronization and limited adaptability to network changes.
This document describes an IoT-based environmental monitoring system using a wireless sensor network. It discusses key components of the system including sensor nodes, a Raspberry Pi gateway, and an application server. The sensor nodes collect data from temperature, light, and moisture sensors. The Raspberry Pi processes and transmits the sensor data via a wireless network. An application server receives the data, stores it, and provides access to users and other IoT applications. The system aims to enable long-term, low-cost environmental monitoring for various IoT applications.
This document provides an overview of wireless sensor networks including their topologies, architectures, and challenges. It discusses common topologies like bus, tree, star, ring, mesh, and grid. Sensor nodes typically consist of microcontrollers, transceivers, memory, power sources, and one or more sensors. Wireless sensor networks can be used for applications in fields like military, healthcare, environment, and industries. However, challenges exist due to limited battery power of sensor nodes, requiring energy-efficient techniques.
This document discusses using energy harvesting from multiple sources to power unattended ground sensors for border security applications. It describes a system using Texas Micropower's energy harvesting devices and Crane Wireless Monitoring Solutions' sensor nodes. The energy harvesters are suitable for low-cost, high-volume production and can harvest energy from vibrations and solar power. Preliminary results indicate the feasibility of using a single power management solution that allows multi-source energy harvesting to increase sensor network lifetime for remote monitoring applications such as border security.
Optimal Operating Performances of Wireless Protocols for Intelligent Sensors ...chokrio
The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wire-less technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time con-straints.
Advanced Software Engineering course - Guest Lecture
A4WSN- Architecture 4 Wireless Sensor Networks
Here you can find the research paper presenting the concepts described in this lecture: http://goo.gl/XBB4k
This presentation has been developed in the context of the Advanced Software Engineering course at the DISIM Department of the University of L’Aquila (Italy).
http://www.di.univaq.it/malavolta
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This document summarizes a study on analyzing sensor network mobility using the OMNeT++ simulation framework and MiXiM modeling toolkit. The study models sensor node mobility and examines how various parameters affect mobility and energy consumption. The simulation involves 5 mobile sensor nodes moving randomly within a 700m x 700m area. Results show that average packet delay and energy consumption increase with higher node mobility. MiXiM provides mobility and connectivity handling in OMNeT++ and allows modeling mobile wireless networks like sensor networks.
IRJET- Energy Efficient Protocol in Wireless Sensor NetworkIRJET Journal
This document summarizes an academic paper that proposes an energy efficient protocol for wireless sensor networks. It begins with an introduction to wireless sensor networks and some of the key challenges, particularly limited energy. It then reviews an existing protocol called LEACH (Low Energy Adaptive Clustering Hierarchy) that aims to distribute energy use among sensor nodes. However, LEACH may not distribute energy optimally if nodes have different starting energy levels. The paper proposes using DEEC (Distributed Energy-Efficient Clustering), which aims to improve network lifetime by more evenly distributing energy use among nodes, regardless of their initial energy levels.
To analyze the efficiency of heterogeneous wireless sensor network over homogenous wireless sensor network.
To analyze the stability, life time ,through put.
WSN nodes power consumption using multihop routing protocol for illegal cutti...TELKOMNIKA JOURNAL
The need for an automation system from a remote area cannot be separated from the role of the wireless sensor network. However, the battery consumption is still a problem that influences the lifetime of the system. This research focused on studying how to characterize the power consumption on each sensor node using multihop routing protocol in the illegal logging field, to get the prediction lifetime of the network. The system is designed by using six sensor nodes in a master-slave connection and implemented in a tree topology. Each sensor node is consisting of a sound sensor, vibration sensor, Xbee communication, current and voltage sensor, and Arduino nano. The system is tested using battery 10050 mAH with several scenarios to have calculated how long the battery lifetime can be predicted. The results stated that the master node on the network depleted the power of the battery faster than the slave node since the more slaves connected to the master, the more energy the battery consumes.
Comparative Performance Analysis of Wireless Communication Protocols for Inte...chokrio
The systems based on intelligent sensors are currently expanding, due to theirs functions and theirs performances of intelligence: transmitting and receiving data in real-time, computation and processing algorithms, metrology remote, diagnostics, automation and storage measurements…The radio frequency wireless communication with its multitude offers a better solution for data traffic in this kind of systems. The mains objectives of this paper is to present a solution of the problem related to the selection criteria of a better wireless communication technology face up to the constraints imposed by the intended application and the evaluation of its key features. The comparison between the different wireless technologies (Wi-Fi, Wi-Max, UWB, Bluetooth, ZigBee, ZigBeeIP, GSM/GPRS) focuses on their performance which depends on the areas of utilization. Furthermore, it shows the limits of their characteristics. Study findings can be used by the developers/ engineers to deduce the optimal mode to integrate and to operate a system that guarantees quality of communication, minimizing energy consumption, reducing the implementation cost and avoiding time constraints.
An Improved Enhanced Real Time Routing Protocol (IERT) for Mobile Wireless Se...IRJET Journal
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An Intuitionistic Fuzzy Sets Implementation for Key Distribution in Hybrid Me...IJAAS Team
This document presents a new model for securing key distribution in wireless sensor networks (WSNs) using intuitionistic fuzzy sets. The model determines the appropriate length of an intermediate encryption key based on network parameters like node count, node authentication history, trusted neighbor count, key change frequency, and desired key length. An intuitionistic fuzzy sets implementation assigns membership and non-membership values to each parameter. Based on the combinations of parameter values, intuitionistic rules output a session key scale and corresponding key length ranging from very low to very high security. The model was experimentally shown to efficiently create and distribute keys compared to other models.
Wireless sensor network plays vital role in today’s life, it is a collection of sensors that are scattered in different directions which are further used to control and measure the physical conditions of environment as well as to organize to the data somewhere at centre location. As in context of greenhouse we can measure various parameters such as temperature, humidity, water level, insect monitoring and light intensity.
A Brief Research Study Of Wireless Sensor NetworkCassie Romero
The document summarizes a research study on wireless sensor networks (WSNs). It discusses WSNs applications in various fields like military, environment, healthcare, homes, and traffic control. It also examines key challenges in WSNs like energy consumption, data reporting models, and security issues. Additionally, the document reviews common simulation platforms used to test WSN protocols and evaluates their features, interfaces, support, scalability and availability of WSN modules.
The document discusses wireless sensor networks (WSNs). It describes WSNs as consisting of distributed sensors that monitor conditions like temperature, sound, and pressure and transmit data to a central location. Modern networks are bidirectional, enabling sensor control. WSNs were initially developed for military surveillance but are now used in industrial and consumer applications. They pose challenges in deployment, location tracking, coverage, and integration of different sensor types on a single platform. Advances in energy harvesting and self-organizing networks could enable millions of low-cost sensor nodes. WSNs have applications in intrusion detection, health monitoring, and location detection.
This document summarizes a survey paper on wireless sensor networks. It begins by defining a wireless sensor network as a collection of spatially distributed autonomous sensors that cooperatively monitor physical conditions like temperature, pressure, and pass data to a centralized point. The key components of a sensor node are then described as a sensing unit, processing unit, transceiver, and power source. Different types of wireless sensor networks are outlined, including terrestrial, underground, underwater, multimedia, and mobile networks. Characteristics and applications of wireless sensor networks in fields like military, environment, health, home automation, and commerce are also summarized.
Design Issues and Applications of Wireless Sensor Networkijtsrd
Efficient design and implementation of wireless sensor networks has become a hot area of research in recent years, due to the vast potential of sensor networks to enable applications that connect the physical world to the virtual world. By networking large numbers of tiny sensor nodes, it is possible to obtain data about physical phenomena that was difficult or impossible to obtain in more conventional ways. In future as advances in micro-fabrication technology allow the cost of manufacturing sensor nodes to continue to drop, increasing deployments of wireless sensor networks are expected, with the networks eventually growing to large numbers of nodes.Potential applications for such large-scale wireless sensor networks exist in a variety of fields, including medical monitoring, environmental monitoring, surveillance, home security, military operations, and industrial machine monitoring etc. G. Swarnalatha | R. Srilalitha"Design Issues and Applications of Wireless Sensor Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd4688.pdf http://www.ijtsrd.com/engineering/computer-engineering/4688/design-issues-and-applications-of-wireless-sensor-network/g-swarnalatha
This document discusses implementing agricultural applications using wireless sensor networks and securing the data transmission with AES encryption. It describes how sensor nodes can monitor parameters like temperature and water levels to provide useful data for irrigation management. The network uses Zigbee technology for low power wireless communication between nodes that transmit data to a base station. The document outlines various attacks on wireless sensor networks and emphasizes the importance of security. It proposes using AES encryption and unique PAN IDs for each node to secure the wireless transmission of sensed data in the agricultural applications. Experimental results from temperature and water level sensors are shown to demonstrate the feasibility of monitoring fields wirelessly for irrigation scheduling.
Wireless Sensor Network (WSN) is a promising field for research. As the use of this field increases, it is
required to give proper security to this field. So to ensure the security of communication of data or messages and to
control the use of data in WSN is of great importance. As sensor networks interact with responsive data and operate
in unfriendly unattended area, from the time of system design these security concerns should be addressed. The paper,
presents a modified Motesec security protocol which is a security mechanism for Wireless sensor network. In this
protocol a hash function based approach is used to detect replay attacks. For data access control key lock matching
method i.e. memory data access control policy is used to prevent unauthorized data access. Encoding and
reconstruction scheme is used to find out attacker. Flooding attack detection by comparing data rate. There is currently
massive research is present in the area of wireless sensor network security..Keywords: GPS,GCM,LBS Android.
Keywords: secure communication architecture, wireless Sensor network security.
SECURITY AND KEY MANAGEMENT CHALLENGES OVER WSN (A SURVEY) IJCSES Journal
Wireless sensor networks (WSNs) have turned to be the backbone of most present-day information
technology, which supports the service-oriented architecture in a major activity. Sensor nodes and its
restricted and limited resources have been a real challenge because there’s a great engagement with
sensor nodes and Internet Of things (IoT). WSN is considered to be the base stone of IoT which has been
widely used recently in too many applications like smart cities, industrial internet, connected cars,
connected health care systems, smart grids, smart farming and it's widely used in both military and civilian
applications now, such as monitoring of ambient conditions related to the environment, precious species
and critical infrastructures. Secure communication and data transfer among the nodes are strongly needed
due to the use of wireless technologies that are easy to eavesdrop, in order to steal its important
information. However, is hard to achieve the desired performance of both WSNs and IoT and many critical
issues about sensor networks are still open. The major research areas in WSN is going on hardware,
operating system of WSN, localization, synchronization, deployment, architecture, programming models,
data aggregation and dissemination, database querying, architecture, middleware, quality of service and
security. In This paper we discuss in detail all about Wireless Sensor Networks, its classification, types,
topologies, attack models and the nodes and all related issues and complications. We also preview too
many challenges about sensor nodes and the proposed solutions till now and we make a spot ongoing
research activities and issues that affect security and performance of Wireless Sensor Network as well.
Then we discuss what’s meant by security objectives, requirements and threat models. Finally, we make a
spot on key management operations, goals, constraints, evaluation metrics, different encryption key types
and dynamic key management schemes.
The development of the wireless sensor networks (WSNs) in various applications like Defense, Health,
Environment monitoring, Industry etc. always attract many researchers in this field. WSN is the network
which consists of collection of tiny devices called sensor nodes. Sensor node typically combines wireless
radio transmitter-receiver and limited energy, restricted computational processing capacity and
communication band width. These sensor node sense some physical phenomenon using different
transduces. The current improvement in sensor technology has made possible WSNs that have wide and
varied applications. While selecting the right sensor for application a number of characteristics are
important. This paper provides the basics of WSNs including the node characteristics. It also throws light
on the different routing protocols.
A SURVEY OF ENERGY-EFFICIENT COMMUNICATION PROTOCOLS IN WSNIAEME Publication
Wireless sensor networks are harshly restricted by storage capacity, energy and computing power. Wireless Sensor Networks have acquired a lot of attention by research community, manufacturer as well as actual users for monitoring remote trades and how to gather data in different environment. The wireless sensor nodes are especially battery powered devices having life can be extended for some times while long lasting and reliable for maintaining consumption of energy and network lifetime while designs applications and protocols. So it is essential to design effective and energy efficient protocol in order to enhance the network lifetime. In this paper we present the study of different energy efficient communication protocols of Wireless Sensor Networks (WSNs).Then some of the communication protocols which are widely used in WSNs to improve network performance are also discussed advantages and disadvantages of each protocols.
International Journal of Computational Engineering Research(IJCER) ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
This document summarizes sensor networks, including their definition, components, applications, characteristics, architectures, challenges, and security approaches. Sensor networks consist of spatially distributed nodes that monitor environmental conditions and pass data to a central location. The nodes have sensors, microcontrollers, memory, and radios. Applications include area monitoring, healthcare, and environmental monitoring. Challenges include limited energy, computation, and transmission range. PEGASIS is an approach that forms nodes into chains to more efficiently pass data to the base station and minimize energy use. Security is provided using secret key encryption algorithms.
A Review Paper On Communication Protocols For Wireless Sensor NetworksBria Davis
This document reviews communication protocols for wireless sensor networks. It begins by describing the basic components and applications of wireless sensor networks. It then discusses three main classifications of routing protocols for wireless sensor networks: hierarchical, flat, and location-based. Under each classification, several example protocols are described. Factors affecting the design of routing protocols, such as node deployment, energy efficiency, and quality of service, are also discussed. Finally, the document reviews several past studies that have analyzed and compared different routing protocols for wireless sensor networks.
Data Flow in Wireless Sensor Network Protocol Stack by using Bellman-Ford Rou...journalBEEI
Wireless sensor network consists various sensor nodes that are used to monitor any target area like forest fire detection by our army person and monitoring any industrial activity by industry manager. Wireless sensor networks have been deployed in several cities to monitor the concentration of dangerous gases for citizens. In wireless sensor network when sensor nodes communicate from each other then routing protocol are used for communication between protocol layers. Wireless sensor network protocol stack consist five layers such as Application layer, Transport layer, Network layer, MAC Layer, Physical layer. In this paper we study and analysis Bellman-Ford routing algorithm and check the flow of data between these protocol layers. For simulation purpose we are using Qualnet 5.0.2 simulator tool.
A Review on Wireless Sensor Network Securityijtsrd
Wireless sensor networks are attracting more and more coverage. A number of surveillance, regulation, and tracking systems have been developed for different scenarios in recent years. Wireless Sensor Network WSN is an emerging technology that shows great promise for various futuristic applications both for mass public and military. The sensing technology combined with processing power and wireless communication makes it lucrative for being exploited in abundance in future. The inclusion of wireless communication technology also incurs various types of security threats. The intent of this paper is to investigate the security related issues and challenges in wireless sensor networks. We identify the security threats, review proposed security mechanisms for wireless sensor networks. We also discuss the holistic view of security for ensuring layered and robust security in wireless sensor networks. Vijay Kumar Kalakar | Hirdesh Chack | Syed Tariq Ali "A Review on Wireless Sensor Network Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31815.pdf Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/31815/a-review-on-wireless-sensor-network-security/vijay-kumar-kalakar
Wireless sensor networks make use of sensor nodes distributed in a sensor node field. There are many factors that influence the sensor network design. Sensor networks have their own protocol stack aligned with the OSI model.
This document discusses energy efficiency in wireless sensor networks. It begins by introducing wireless sensor networks and some of their key applications. It then discusses several clustering-based energy efficiency protocols, including LEACH, HEED, TEEN, and EBC. These protocols aim to reduce energy consumption by organizing sensor nodes into clusters, with cluster heads responsible for aggregating and transmitting data from cluster members. The document also reviews related work on clustering algorithms and energy efficiency in wireless sensor networks. It discusses the goals of maximizing network lifetime while minimizing energy consumption.
The document provides an introduction to wireless sensor networks. It discusses how wireless sensor networks consist of small sensor nodes that can monitor environmental conditions like temperature, pressure, and motion. These networks are used in applications such as surveillance, vehicle tracking, habitat monitoring, and more. The key challenges for wireless sensor networks are limited power, storage, and processing capabilities. Effective routing protocols and security measures are needed to address these constraints. The document then discusses routing protocols and security issues in wireless sensor networks in more detail over several chapters.
Secure and Efficient DiDrip Protocol for Improving Performance of WSNsINFOGAIN PUBLICATION
1. The document proposes a new distributed data discovery and dissemination protocol called DiDrip for wireless sensor networks (WSNs) that aims to improve security and performance over existing protocols.
2. Existing protocols primarily use a centralized approach where a single node distributes data, which is not suitable for multiple owners and users, and they do not focus on security.
3. DiDrip allows for a distributed approach where multiple owners can authorize different users simultaneously to access sensor data with different priorities, while improving security.
seminar report on wireless Sensor networkJawhar Ali
This document provides an overview of wireless sensor networks (WSNs) including their technologies, applications, architectures, and trends. It discusses how WSNs enable new applications through low-cost, low-power sensor nodes that can monitor environments. The document outlines several key applications of WSNs such as environmental monitoring, health monitoring, traffic control, and smart buildings. It also describes common WSN architectures including clustered and layered architectures.
Wireless Sensor Networks in Chemical Industryjournal ijrtem
ABSTRACT: When it comes to implementing new technologies such as wireless sensor networks (WSNs), the chemical industrial community has been cautious for reasons ranging from safety to the high cost of production. WSNs promise significant advantages in terms of flexibility, cost, autonomy, and robustness compared with wired networks. They are poised to become a major enabling technology in many sectors, particularly the chemical industry. This paper briefly describes how the chemical industry can benefit from wireless sensor networks.
KEY WORDS: wireless sensor networks, chemical industry, industrial wireless sensing
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Wireless Sensor Network – Theoretical Findings and Applications
1. International Journal of Computer Applications (0975 – 8887)
Volume 63– No.10, February 2013
25
Wireless Sensor Network – Theoretical Findings
and Applications
Ashish Patel
SVM Institute of Tech.
Bharuch, India
Rutvij Jhaveri
SVM Institute of Tech.
Bharuch, India
Kruti Dangarwala
SVM Institute of Tech.
Bharuch, India
ABSTRACT
Wireless sensor networks (WSN) consist of tiny sensor nodes
scattered on a relatively large geographical area. The nodes
are cooperative in nature, that is, they can communication
with one another or to a central control unit. The work of each
such node is to collect the information from surrounding like
pressure, temperature, humidity, magnetic fields, optical fields
etc [2]. Actually they are ad hoc network with some additional
constraints. The node should be capable enough for power
consumption, collection of data, self healing, mobility, self
configuration to name a few. These features of WSN node
differentiate it from conventional ad hoc networks [14]. This
survey paper aims at reporting wireless sensor network, its
design, networking of nodes, and security in system. In this
paper, fundamentals of wireless sensor network are discussed.
Different component like sensor, microcontroller, battery
require for sensor networks are explained in detail. We have
tried to include all the aspects of WSN. The Protocols,
Operating Systems, tools require for WSN node programming
and some security issues are also discussed.
1. INTRODUCTION
The WSN node typically has a transceiver, a microcontroller,
an electronic circuit for interfacing with the sensors, on board
storage and an energy source. The size and cost of each such
node may vary according to the complexity. Sometimes WSN
nodes also comprise actuators which can act directly to
control different types of objects. For example, actuator can
control the flow of gas in chamber, it can open a value by
sensing the pressure, and it can start or stop the motor. WSN
is active research area because of unlimited potential for
numerous applications like military, environmental, health,
transportation, construction, water/waste water management,
disaster management etc. [15] Though, the limitation of
wireless bandwidth and problems of power consumption,
recently the wireless sensor network has experienced
exponential growth because of the necessity of the application
areas mentioned earlier. [17] The main characteristics of
wireless sensor networks are Ability to cope with node
failures, Mobility of nodes, Communication failures,
Heterogeneity of nodes, Scalability to large scale of
deployment, Ability to withstand harsh environmental
conditions, Ease of use, and Power consumption as shown in
fig.1. [6] The paper describes history, fundamentals of
wireless sensor networking, components used in WSN,
followed by operating systems, tools, protocols and security
measurements require for functioning of wireless sensor
network. The choice of sensor depends on the requirement of
data collection like emperature, pressure, humidity, light etc.
Based on these equirements one can classify the sensors in the
categories like gyroscope, diodes, thermostats, thermocouples,
accelerometer, GPS, capacitive or resistive, magnetometers
etc.
Fig. 1 Typical Wireless Sensor Network
The classification of sensors can also be based on the methods
they apply and the electrical phenomena they utilize to
convert physical properties into electrical signals like
Resistive sensors, Inductive or piezoelectric sensor.
2. HISTORY
The distributed sensor network (DSN) program was initiated
by the Defense Advanced Research Project Agency (DARPA)
around 1980. [4] WSN technology started with the very early
DARPA sponsored military project in 1978. During the 1990s
DARPA was involved in search of the low power wireless
integrated microprocessor (LWIM). In 1993 UCLA started
research in WINS - Wireless Integrated Network Sensors. In
1998 a distributed military sensor system SenseIT was started
with the help of 29 research projects involving 25 institutes
and still working in the direction of new networking
techniques and information processing. [2] The smartdust
concept was introduced, developed, and funded by DARPA
due to the potential military applications of the technology. [7]
The PicoRadio (Berkeley Wireless Research Center) group is
dedicated to advancing the field of Wireless Sensor Networks
in all areas: RF circuit design, networking, positioning, low
voltage digital design, antenna design, and low power analog
design. Some tools are also invented like LEACH (Low-
Energy Protocol Simulator for Wireless Networks) during
these period. The Terminode project was there to develop a
system approach to investigate wide area, large, totally
wireless networks or mobile ad-hoc wide area networks
(MANET). European Union Information Society
Technologies (EU IST) is also working in wireless sensor
networking area from 2003. [4] Technological advances in the
past decade have completely changed the situation. MEMS
technology, more reliable wireless communication, and low-
cost manufacturing have resulted in small, inexpensive, and
powerful sensors with embedded processing and wireless
networking capability. Such wireless sensor networks can be
used in many new applications, ranging from environmental
monitoring to industrial sensing, as well as traditional military
applications. [3] [11] [12] [21] The WSN time line is given
below. [27]
2. International Journal of Computer Applications (0975 – 8887)
Volume 63– No.10, February 2013
26
1997 SMART DUST
1999 BERKELEY MOTES, TINYOS
2003 ZIGBEE ALLIANCE
2004 IEEE 802.15.4
2006 IEEE 802.15.4-2006
ZIGBEE PRO
2007 WIRELESS HART
IETF RFC4944: IPV6 OVER 15.4
2008 ZIGBEE SMART ENERGY
2009 ZIGBEE GREEN POWER
ANNOUNCED
2011 IEEE 802.15.4E
IETF IPHC, ND, RPL, COAP, …
ZIGBEE SE2.0
3. FUNDAMENTALS OF WIRELESS
SENSOR NETWORKS
Although wireless sensor network shares many similarities
with other distributed systems, it has some unique challenges
and constraints. The advances in technologies such as very
large scale integration (VLSI), microelectromechanical
systems (MEMS), and wireless communications changed the
whole scenario of wireless sensor networks. The desirable
properties of WSN are energy efficiency, distributed sensing,
wireless, multi-hop, distributed processing and low cost.
3.1 Sensor Network Applications
The main purpose of wireless sensor networks was military
application during world war and later during the cold war.
But today they are used in many industrial and consumer
applications, such as industrial process monitoring and
control, machine health monitoring, environment monitoring,
target tracking, pipeline monitoring, structural health
monitoring, precision agriculture, health care, supply chain
management, active volcano monitoring, transportation,
human activity monitoring, and underground mining, to name
a few.
3.2 Sensor Network Design
The main part of sensor network is its node. Node, sometimes
also known as mote is capable of sensing the data, processing
of data and communication with other nodes using its own
power source. Typical node consists of microcontroller,
Transceiver, memory, power source and some sensors as
shown in fig. 2. [10]
3.3 Microcontroller
It is a small integrated device generally used for embedded
systems. Microcontroller provides real-time response in
embedded environment. When certain event occurs, controller
catches the interrupt and servers that interrupt. It is the main
unit controlling the activities of other devices in the figure
shown.
Fig. 2 Architecture of Wireless Sensor Node [10]
3.4 Transceiver
It is a unit containing both transmitter and receiver.
Transceivers are called Medium Attachment Units (MAUs) in
IEEE 802.3 documents and were widely used in 10BASE2
and 10BASE5 Ethernet networks.
3.5 Memory
The Sensor node must have onboard memory to store the data
collected by different sensors. It can be on-chip or flash
memory depending on the application requirements. Some
portion of this memory is used to store system data and other
portion is used for user data.
3.6 Power Source
The sensor node consumes power for sensing, communicating
and data processing. Power can be stored in batteries or in
capacitors. Life of sensor node depends mostly on the power
source it is using. So power saving policies like Dynamic
Power Management (DPM) or Dynamic Voltage Scaling
(DVS) is used in sensor networks.
Sensor
Typical sensor converts the physical quantity such as
temperature, humidity, pressure into a signal which can be
further processed by some electronic device like
microcontroller. Below is the list of some sensors by sensor
type.
Chemical
Electric current, electric potential, magnetic, radio
Environment, weather, moisture, humidity
Automotive, transportation
Acoustic, sound, vibration
Flow, fluid velocity
Ionizing radiation, subatomic particles
Navigation instruments
Position, angle, displacement, distance, speed,
acceleration
Optical, light, imaging, photon
Pressure
Force, density, level
Thermal, heat, temperature
Proximity, presence
Depending on the type of the sensor, it can sense different
physical properties.
3.7 Sensor Network Topologies
Common sensor network topologies are Peer to Peer (also
called Point to Point), Star, Tree and Mesh. There are many
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Volume 63– No.10, February 2013
27
more network topologies that have not been discussed in this
article.
3.8 Sensor Network Protocols
Network protocols decide, by which route on the network,
node has to send packets for communications. [16] In wireless
environment node announces its present by broadcasting the
message and waits for the response from its neighbours.
Routing protocols for wireless sensor networks are
responsible for maintaining the routes in the network and have
to ensure reliable multi-hop communication under the
constraints like limited transmission range and low power
consumption. [13] Table 1 shows some common routing
protocols for WSN. [22]
There are other protocols like IMEP, TORA and W2LAN
useful for routing in WSN.
Table 1 - LIST OF WIRELESS SENSOR PROTOCOLS
PROTOCOL EXAMPLE
TABLE-DRIVEN (PRO-
ACTIVE) ROUTING
HSR, DSDV, IARP, HSLS
REACTIVE (ON-DEMAND)
ROUTING
AODV, ACOR, AORP,
DYMO
FLOW-ORIENTED ROUTING
IERP, LUNAR, RDMAR,
SSR
HYBRID ROUTING
HRPLS, HWMP, OON,
ZRP
HIERARCHICAL ROUTING
PROTOCOLS
CBRP, CEDAR, FSR
BACKPRESSURE ROUTING DIVBAR
HOST SPECIFIC ROUTING
PROTOCOLS
LANMAR
MULTICAST ROUTING
MRMP, ERAMOBILE,
PUMA, AMRIS, LAM,
TSMP
GEOGRAPHICAL
MULTICAST PROTOCOLS
(GEOCASTING)
MOBICAST, ABIDING
GEOCAST
ON-DEMAND DATA
DELIVERY ROUTING
MAODDP
OTHER PROTOCOLS IMEP, TORA, W2LAN
3.9 Communication between nodes and BS
In other wireless domain network role is of data transport,
compete for resources, high data rates, maximize network
throughput. While in Wireless Sensor Network, network role
is information collection, resource allocation, low data rates
and maximizes network life time. Sensor nodes always require
active connection for communicating with neighbour nodes as
well as base station. Communication plays important role in
designing wireless sensor network. Primarily, there are three
types of communication techniques, Optical Communication,
Infrared Communication and Radio-Frequency
Communication. Optical communication can be disturbed by
atmospheric conditions and requires line of sight. Infrared is
having very limited range and RF communication is having a
problem with antenna size, a good trade-off require for choice
of communication technique. Ease of use, availability in
market and integrity among the nodes makes RF
communication a good candidate for testing in sensor nodes.
[23]
4. OPERATING SYSTEM
Operating system in WSN enables the applications to interact
with hardware resources to accomplish particular task.
Moreover, Operating system is responsible for memory
management, power management, file management and
networking. Operating systems are of two types, single task
and multi task. Multitasking operating system require large
amount of memory. The choice of operating system for WSN
depends on the factors like data types, scheduling, memory,
multithreading, interrupt and so on.
TinyOS is the most widely used runtime environment in
WSN. It is Event-Based operating system and uses static
memory management system. Mate is design to work on top
of TinyOS as one of its component. Other operating systems
are SOS, Contiki and LiteOS and they are using dynamic
memory management system. TinyOS and SOS not allow us
to use system calls but Contiki and LiteOS supports system
calls. [26] Generally, the field of wireless sensor networks is
relatively young. The operation environments as well as the
application requirements are likely to evolve and to be made
more compact and refined. Subsequently, the tradeoff is
between dynamic reprogramming and code replacement on
the one hand, and code execution efficiency on the other. [2]
Other useful environments are MagnetOS, MANTIS, OSPM,
EYESOS, SENOS, EMERALDS and PicOS.
5. SENSOR NETWORK TOOLS
It is generally not feasible to develop a model to test the
behaviour of a sensor node because of complexity of the
networks. So simulation tools are necessary to study the
behaviour of a node or to do research in this area. One can
classify sensor network tools in two categories, General
simulation packages and Specific WSN Framework. [5] NS-2
(Network Simulator), OMNET++ (Objective Modular
Network Testbed), J-Sim, NCTUns2.0, JiST/SWANS,
GloMoSim, SSFNet, Ptolemy II are some examples of general
tools available for simulation. TOSSIM [25], EmStar /EmSim
/EmTOS [24], ATEMU, SENS, Prowler/JProwler, SNAP are
some examples of specific WSN tools.
6. WSN PROGRAMMING
In WSN constant communication requires with the nodes due
to failure of node or changes in network topologies. So WSN
programming differs in many ways with the traditional
distributed programming. Sensor network programming
approaches can be classified as either node-centric or
application-centric. Node-centric approach generally deals
with programming a single node, the entire network sensing
application can be defined by considering the logic of all
nodes of the system. nesC, TinyGALS (globally asynchronous
and locally synchronous), SNACK (Sensor Network
Application Construction Kit) and different thread based
models are used for programming a WSN node. [18] The
main advantage of the thread-based approach is that multiple
tasks can make progress in their execution without blocking
other tasks.
7. SECURITY IN WIRELESS SENSOR
NETWORKS
The characteristics of wireless sensor networks, such as
Resource constraints, Lack of central control, limited battery
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Volume 63– No.10, February 2013
28
power and lack of infrastructure, make them more vulnerable
to attack than conventional ad hoc networks. The security
schemes for WSN should require less computational power
and memory because sensor nodes are tiny and have more
limited capacity. [9] WSN node is prone to active or passive
attack. Some of the well known attacks on WSN are Denial of
service (DoS) attack, Sybil attack, Hello Flood, Wormhole
attack, Blackhole or Sinkhole attack etc. [20] However,
developing solution to these attacks and making it efficient
represents a great research challenge. Again, ensuring security
in wireless sensor network is a major research issue. Many of
today’s proposed security schemes are based on specific
network models. As there is a lack of combined effort to take
a common model to ensure security for each layer, combining
all the mechanisms together for making them work in
collaboration with each other will incur a hard research
challenge. [19] In a secure wireless ad hoc sensor network, a
node is authorized by the network and only authorized nodes
are allowed to access the network resources. The generic
process to establish such a network consists of bootstrapping,
pre-authentication, network security association
establishment, authentication, and behaviour monitoring and
security association revocation. Among these, authentication
is of the utmost importance and is an essential service in
network security. Other basic security services like
confidentiality, integrity and nonrepudiation depend on
authentication. Secret information is exchanged only after
nodes are able to verify and validate one another [9].
8. CONCLUSION
Objective of WSN was stand-alone systems for monitoring
and surveillance in military applications; they are becoming
key component of next generation networks. Today, most of
the sensor network solutions are under testing and
implementation for better results. Networks of hundreds of
sensor nodes are already being used to monitor large
geographic areas for modelling and analyzing data. Still,
Sensor networks are only a semi-functional prototype model
for many applications. [8] The area requires great involvement
from researchers, students, and practitioners for understanding
the challenges of this exciting field. Despite their popularity,
wireless sensor network systems are difficult to code.
Developers of these systems need to deal with high-level
application logics and low-level input/output operations
simultaneously. The survey paper throws the light on most of
the basic fundamental aspects of wireless sensor networks.
While these topics are some of the key issues regarding WSN,
there are many important topics not discussed in this paper.
The author has tried to explain the WSN system for further
study.
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