This document discusses wireless sensor networks (WSN). A WSN consists of sensor nodes that can sense various environmental conditions like temperature, pressure, and motion. Each sensor node contains components like a microcontroller, memory, radio transceiver, and a power source. The nodes are organized into clusters with a cluster head that collects data from nodes and sends it to the base station. Clustering helps avoid traffic, reduce transmission time and energy consumption. The cluster head is selected based on available energy. WSNs can be used in various applications like monitoring forests, factories, animals, humans, bridges, and caves.
Intrusion Detection in A Smart Forest-Fire Early Warning Sensory SystemRatul Alahy
Incorporating an Intrusion Detection System(IDS) for a wireless sensor network (WSN) is one of the efficient moves to detect early intrusion to protect the integrity of the system. Machine learning Neural networks makes the intrusion detection task in WSN much easier by analyzing the data collected from sensor nodes(temperature, light, sound, and smoke). However, maintaining security and preventing intrusion in such approach remains a challenge. In this paper, we propose a Smart Intrusion Detection System (SIDS) which will be trained and tested using neural network approaches. The SIDS will be evaluated using parameters such as accuracy, timeliness, and trusted neighbor nodes, and the result is obtained for intrusion scenario using neural networks algorithms.
To analyze the efficiency of heterogeneous wireless sensor network over homogenous wireless sensor network.
To analyze the stability, life time ,through put.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
EFFECT OF DUTY CYCLE ON ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORKSIJCNC
Most studies define a common duty cycle value throughout the wireless sensor networks (WSNs) to
achieve synchronization among the nodes. On the other hand, a few studies proposed adaptation of the
duty cycle according to uniform traffic conditions to decrease the energy consumption and latency. In
this paper, the lifetime of the nodes based on overall energy consumption are estimated and the effect of
duty cycle on expected energy consumption is studied. The proposed scheme is compared with a standard
scheme and is shown to perform significantly better for sufficient node density.
A Review of Network Layer Attacks and Countermeasures in WSNiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Intrusion Detection in A Smart Forest-Fire Early Warning Sensory SystemRatul Alahy
Incorporating an Intrusion Detection System(IDS) for a wireless sensor network (WSN) is one of the efficient moves to detect early intrusion to protect the integrity of the system. Machine learning Neural networks makes the intrusion detection task in WSN much easier by analyzing the data collected from sensor nodes(temperature, light, sound, and smoke). However, maintaining security and preventing intrusion in such approach remains a challenge. In this paper, we propose a Smart Intrusion Detection System (SIDS) which will be trained and tested using neural network approaches. The SIDS will be evaluated using parameters such as accuracy, timeliness, and trusted neighbor nodes, and the result is obtained for intrusion scenario using neural networks algorithms.
To analyze the efficiency of heterogeneous wireless sensor network over homogenous wireless sensor network.
To analyze the stability, life time ,through put.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
EFFECT OF DUTY CYCLE ON ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORKSIJCNC
Most studies define a common duty cycle value throughout the wireless sensor networks (WSNs) to
achieve synchronization among the nodes. On the other hand, a few studies proposed adaptation of the
duty cycle according to uniform traffic conditions to decrease the energy consumption and latency. In
this paper, the lifetime of the nodes based on overall energy consumption are estimated and the effect of
duty cycle on expected energy consumption is studied. The proposed scheme is compared with a standard
scheme and is shown to perform significantly better for sufficient node density.
A Review of Network Layer Attacks and Countermeasures in WSNiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Wireless sensor networks, clustering, Energy efficient protocols, Particles S...IJMIT JOURNAL
Wireless sensor networks (WSN) is composed of a large number of small nodes with limited functionality.
The most important issue in this type of networks is energy constraints. In this area several researches have
been done from which clustering is one of the most effective solutions. The goal of clustering is to divide
network into sections each of which has a cluster head (CH). The task of cluster heads collection, data
aggregation and transmission to the base station is undertaken. In this paper, we introduce a new approach
for clustering sensor networks based on Particle Swarm Optimization (PSO) algorithm using the optimal
fitness function, which aims to extend network lifetime. The parameters used in this algorithm are residual
energy density, the distance from the base station, intra-cluster distance from the cluster head. Simulation
results show that the proposed method is more effective compared to protocols such as (LEACH, CHEF,
PSO-MV) in terms of network lifetime and energy consumption.
More details: (blog: http://sandyclassic.wordpress.com ,
linkedin: https://www.linkedin.com/in/sandepsharma )
2 New Routing algorithm for ad-hoc routing wireless sensor network, mathematical modelling for wireless sensor network 4 models for over all system and 2 models for energy measurement of wireless sensor network
With the advancements in wireless technology and digital electronics, some tiny devices have started to be used in numerous areas in daily life. These devices are capable of sensing, computation and communicating. They are generally composed of low power radios, several smart sensors and embedded CPUs (Central Processing Units). These devices are used to form wireless sensor network (WSN) which is necessary to provide sensing services and to monitor environmental conditions. In parallel to WSNs, the idea of internet of things (IoT) is developed where IoT can be defined as an interconnection between identifiable devices within the internet connection in sensing and monitoring processes. This paper presents detailed overview of WSNs. It also assesses the technology and characteristics of WSNs. Moreover, it provides a review of WSN applications and IoT applications.
in this paper authors made the study of basic clustering algorithm Leach. A comparison is made between Leach and Leach.wireless sensor network advantages, and wireless sensor network dataset
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.
This research paper addresses the issue of secure data sharing for distributed data storage in Wireless Sensor Networks (WSNs). In WSNs, storing data at local sensor nodes or at designated in-network nodes greatly saves the network-wide communi¬cation load and has a lot of benefits such as energy-efficiency.
Wireless Sensor Network (WSN) has a huge range of applications such as battlefield,
surveillance, emergency rescue operation and smart home technology etc. Apart from its
inherent constraints such as limited memory and energy resources, when deployed in hostile
environmental conditions, the sensor nodes are vulnerable to physical capture and other
security constraints. These constraints put security as a major challenge for the researchers in
the field of computer networking. This paper reflects various issues and challenges related to
security of WSN, its security architecture. The paper also provides a discussion on various
security mechanisms deployed in WSN environment to overcome its security threats.
Wireless Sensor Network (WSN) has a huge range of applications such as battlefield,surveillance, emergency rescue operation and smart home technology etc. Apart from its inherent constraints such as limited memory and energy resources, when deployed in hostile environmental conditions, the sensor nodes are vulnerable to physical capture and other security constraints. These constraints put security as a major challenge for the researchers in the field of computer networking. This paper reflects various issues and challenges related to security of WSN, its security architecture. The paper also provides a discussion on various security mechanisms deployed in WSN environment to overcome its security threats.
A simple and effective scheme to find malicious node in wireless sensor networkeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A simple and effective scheme to find malicious node in wireless sensor networkeSAT Journals
Abstract Wireless Sensor Network consists of hundreds or thousands of sensor nodes. Impractical to maintain topology and protect each sensor nodes from attack. Wireless Sensor Network is often deployed in an unattended and hostile environment to perform the monitoring and data collection tasks. When sensor nodes are deployed in such an environment, sensor network lacks in physical protection and is subject to insertion of malicious node. After that an adversary may launch various attacks to disrupt the in-network communication through malicious node. In such attacks malicious node behave like normal nodes by selectively drop packets for make it harder to detect their malicious nature. Many schemes have been proposed to detect malicious nodes, but very few can identify attacks. But those proposals are send redundant packets, consume more energy and storage to identify malicious nodes. A simple and effective scheme proposed as Stop Transmit and Listen (STL) to find the malicious node. Each node is having the built-in time limit to stop their transmission. For every few seconds every node stops their transmission and listens for malicious behavior. Malicious nodes are not aware of non-transmitting time. If malicious node sends or forwards the data in non-transmitting time, malicious node is caught by their neighbor nodes in the network. Key Words: IDS, Secure Routing Protocol, Stop Transmit and Listen
Wireless Sensor Network – Theoretical Findings and ApplicationsAshishDPatel1
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.
Replication of attacks in a wireless sensor network using ns2eSAT Journals
Abstract A Wireless Sensor Network (WSN) comprises of sovereign sensor devices that are used to supervise physical and environmental conditions like temperature and pressure. The WSN is built of hundreds and thousands of recognizing stations called nodes, where each node consists of one or more sensors having a radio transceiver, an internal/external antenna, a microcontroller and a battery. Wireless sensor networks are the systems that are used to communicate by sensing the behavioral changes and the sensing nodes will collect the data and it will get handled. After data handling, the data will be sent to the receiver. The wireless sensor networks have to be fortified from network attacks especially at unfavorable situations because data can easily be obtained by the attackers. There are also some security protocols being implemented in sensor networks. There are some limitations in a wireless sensor network like they have limited storage capacity, limited capability of processing and limited energy to transmit data. These drawbacks can make wireless sensor network different from other networks. The imitation of the attacks are done in the NS2 simulator. By imitating, the performance of the network can be monitored. Keywords: Network Security, Wireless, Sensor, Internet, System Security, Simulator, NS2, Simulation of attacks.
Wireless sensor networks are made up of number of tiny mobile nodes, which
have the capability of computation, sensing and wireless network communication. The
energy efficiency of each node in such kind of networks is one of the important issues under
consideration. Thus for these networks, sensor nodes life time is basically depends on use of
routing protocols for routing operations in WSN. There are various routing protocols
proposed by different researchers, which are considered as efficient on the basis of
performance of network lifetime and energy scavenging. There are different routing
protocols introduced for WSN such as flat routing protocols, clustering routing protocols,
hierarchical routing protocols etc. On the other hand, there are basically two types of
WSNs, homogeneous and heterogeneous sensor networks. As WSN is vulnerable to different
types of security threats, there are many security methods presented with their own
advantages and disadvantages. Most of security methods are applied only on homogeneous
WSN, but recently some methods were presented to provide the routing security in
heterogeneous WSNs as well. In this paper, the different security threats and Intrusions in
WSNs are presented, with review of different security methods.
Comparison of Routing protocols in Wireless Sensor Networks: A Detailed Surveytheijes
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Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Vaccine management system project report documentation..pdfKamal Acharya
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Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
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2. Why WSN..??
In order to sense the objects in the environment and involves in the
communication.
When compared to the other networks, WSN has the sensing character to
senses the objects.
Other networks cannot have such type of sensing capacity.
For security purpose we can use the wsn.
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3. INTRODUCTION
WSN (Wireless Sensor Network) is a wireless network
consists of a base station and a number of wireless sensors i.e.., (nodes)
in order to sense the temperature, pressure, motion etc.., in different
environmental conditions.
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4. Components Present In a Sensor Nodes
A wireless sensor network is a collection of nodes.
Each node consists of processing capability (one or more microcontrollers, CPUs
etc..,).
Also contain multiple types of memory (program, data and flash memories).
A RF transceiver (usually with a single Omni-directional antenna) &
A power source (e.g., batteries and solar cells).
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5. CLUSTER
Group of Nodes Gathered (i.e.., Collectively) together to form
a “CLUSTER”.
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6. Why We Need Cluster?
Avoid Traffic
Time Consumption
Energy Consumption
Quick Transmission of Information etc..,
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8. LEADER(i.e., CLUSTER HEAD) Selection
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Cluster Head(CH) acts as a leader for the cluster nodes.
CH collects the data from the cluster nodes and given to the Base Station(BS).
CH will Selects based on their “energy level”.
Priority-wise the CH will be selected.