Environmental wireless sensors networks
•
4 likes•2,194 views
Environmental monitoring describes the processes and activities that need to take place to characterize and monitor the quality of the environment.
Report
Share
Report
Share
Recommended
Wireless sensor network applications environment monitoring
Development in the technology of sensor such as Micro Electro Mechanical Systems (MEMS), wireless communications, embedded systems, distributed processing and wireless sensor applications have contributed a large transformation in Wireless
Sensor Network (WSN) recently. It assists and improves work performance both in the field of industry and our daily life. Wireless Sensor Network has been widely used in many areas especially for surveillance and monitoring in agriculture and habitat monitoring. Environment monitoring has become an important field of control and protection, providing real-time system and control communication
with the physical world. An intelligent and smart Wireless Sensor Network system can gather and process a large amount of data from the beginning of the monitoring and manage air quality, the conditions of traffic, to weather situations.
Wireless sensor network and its application
The document discusses wireless sensor networks (WSN) and their applications. It defines a WSN as a collection of sensor nodes that communicate wirelessly and self-organize after deployment. Sensor nodes collect data at regular intervals, convert it to electrical signals, and send it to a base station. The document outlines the components of sensor nodes and describes how WSNs are used for applications like forest fire detection, air/water pollution monitoring, landslide detection, and military surveillance. It also discusses the TinyOS operating system commonly used for WSNs and its features for efficiently utilizing energy in sensor nodes.
Healthcare Monitoring Using Wireless Sensor Networks
The document discusses research on using wireless sensor networks for healthcare monitoring. It proposes using environmental and physiological sensor nodes integrated into wireless networks to remotely monitor human health conditions and environment. This could help build an e-healthcare system that monitors, predicts, and informs medical staff to prevent diseases while not interrupting daily activities. The system aims to link human health with environmental monitoring for a holistic view of well-being. Future work includes further development of tools, system design and implementation, analysis of results, and publishing papers on this research topic.
wireless sensor network ppt
Vijayanand Metri presented a seminar on wireless sensor networks under the guidance of Prof. Surekha of the computer science and engineering department at GEC Haveri. The presentation covered the introduction, architecture, types, characteristics, features, issues, applications, advantages, and disadvantages of wireless sensor networks. It discussed sensor nodes, ad hoc deployment, unattended operation, environmental monitoring, health monitoring, and concluded that WSNs consist of small sensor nodes that can solve many open issues practically and cost-effectively.
Wireless sensor networks (Yogesh Chandra Fulara)
This document provides an overview of wireless sensor networks. It discusses wireless communication technologies, the need for wireless communication, and defines wireless sensor networks. It describes the characteristics, architecture, operating systems, applications, and technical challenges of wireless sensor networks. Finally, it discusses some companies that manufacture wireless sensor network products, including Cisco, IBM, and Libelium.
wireless sensor network my seminar ppt
The document discusses wireless sensor networks and describes their key characteristics. It notes that wireless sensor networks consist of low-power smart sensor nodes distributed over a large field to enable wireless sensing and data networking. The sensor nodes contain sensors, processors, memory, and radios. Wireless sensor networks can be either unstructured with dense node distribution or structured with few scattered nodes.
Wireless Sensor Network
The document summarizes a seminar presentation on wireless sensor networks. It discusses the architecture of WSNs, including sensor nodes, gateways, base stations, and networking topologies. It also covers the advantages and disadvantages of WSNs, their applications in fields like environmental monitoring and medical monitoring, and their future potential to bridge the physical and digital worlds.
Wireless Sensor Networks
This document discusses wireless sensor networks. It outlines their applications such as environmental monitoring, health care, and military uses. It also examines factors that influence sensor network design like fault tolerance, scalability, production costs, and power consumption. The communication architecture of sensor networks is presented, including the application, transport, network, data link, and physical layers. Sensor networks have the potential to be widely used in many applications due to their flexibility and fault tolerance.
Recommended
Wireless sensor network applications environment monitoring
Development in the technology of sensor such as Micro Electro Mechanical Systems (MEMS), wireless communications, embedded systems, distributed processing and wireless sensor applications have contributed a large transformation in Wireless
Sensor Network (WSN) recently. It assists and improves work performance both in the field of industry and our daily life. Wireless Sensor Network has been widely used in many areas especially for surveillance and monitoring in agriculture and habitat monitoring. Environment monitoring has become an important field of control and protection, providing real-time system and control communication
with the physical world. An intelligent and smart Wireless Sensor Network system can gather and process a large amount of data from the beginning of the monitoring and manage air quality, the conditions of traffic, to weather situations.
Wireless sensor network and its application
The document discusses wireless sensor networks (WSN) and their applications. It defines a WSN as a collection of sensor nodes that communicate wirelessly and self-organize after deployment. Sensor nodes collect data at regular intervals, convert it to electrical signals, and send it to a base station. The document outlines the components of sensor nodes and describes how WSNs are used for applications like forest fire detection, air/water pollution monitoring, landslide detection, and military surveillance. It also discusses the TinyOS operating system commonly used for WSNs and its features for efficiently utilizing energy in sensor nodes.
Healthcare Monitoring Using Wireless Sensor Networks
The document discusses research on using wireless sensor networks for healthcare monitoring. It proposes using environmental and physiological sensor nodes integrated into wireless networks to remotely monitor human health conditions and environment. This could help build an e-healthcare system that monitors, predicts, and informs medical staff to prevent diseases while not interrupting daily activities. The system aims to link human health with environmental monitoring for a holistic view of well-being. Future work includes further development of tools, system design and implementation, analysis of results, and publishing papers on this research topic.
wireless sensor network ppt
Vijayanand Metri presented a seminar on wireless sensor networks under the guidance of Prof. Surekha of the computer science and engineering department at GEC Haveri. The presentation covered the introduction, architecture, types, characteristics, features, issues, applications, advantages, and disadvantages of wireless sensor networks. It discussed sensor nodes, ad hoc deployment, unattended operation, environmental monitoring, health monitoring, and concluded that WSNs consist of small sensor nodes that can solve many open issues practically and cost-effectively.
Wireless sensor networks (Yogesh Chandra Fulara)
This document provides an overview of wireless sensor networks. It discusses wireless communication technologies, the need for wireless communication, and defines wireless sensor networks. It describes the characteristics, architecture, operating systems, applications, and technical challenges of wireless sensor networks. Finally, it discusses some companies that manufacture wireless sensor network products, including Cisco, IBM, and Libelium.
wireless sensor network my seminar ppt
The document discusses wireless sensor networks and describes their key characteristics. It notes that wireless sensor networks consist of low-power smart sensor nodes distributed over a large field to enable wireless sensing and data networking. The sensor nodes contain sensors, processors, memory, and radios. Wireless sensor networks can be either unstructured with dense node distribution or structured with few scattered nodes.
Wireless Sensor Network
The document summarizes a seminar presentation on wireless sensor networks. It discusses the architecture of WSNs, including sensor nodes, gateways, base stations, and networking topologies. It also covers the advantages and disadvantages of WSNs, their applications in fields like environmental monitoring and medical monitoring, and their future potential to bridge the physical and digital worlds.
Wireless Sensor Networks
This document discusses wireless sensor networks. It outlines their applications such as environmental monitoring, health care, and military uses. It also examines factors that influence sensor network design like fault tolerance, scalability, production costs, and power consumption. The communication architecture of sensor networks is presented, including the application, transport, network, data link, and physical layers. Sensor networks have the potential to be widely used in many applications due to their flexibility and fault tolerance.
Wireless sensor network
this will be very useful for those who are seeking a good ppt on wireless sensor network,,have a look
under water wireless communication
Underwater acoustic communication is a technique of sending and receiving message below water.[1] There are several ways of employing such communication but the most common is using hydrophones. Under water communication is difficult due to factors like multi-path propagation, time variations of the channel, small available bandwidth and strong signal attenuation, especially over long ranges. In underwater communication there are low data rates compared to terrestrial communication, since underwater communication uses acoustic waves instead of electromagnetic waves.
Wireless Sensor Networks
A basic ready made presentation on wireless sensor networks. I will also upload the document from which the ppt was made.
Infrared technology
Ankit Kumar presented on infrared technology. Infrared uses electromagnetic radiation with wavelengths longer than visible light to transmit data wirelessly over short ranges of under 5 meters. It has advantages of low power and cost requirements. However, it also has disadvantages like being blocked by common materials and having a short range and lower data transmission speeds than wired connections. Infrared is commonly used in remote controls and some wireless devices and has applications in night vision, thermography and environmental control systems.
Wireless sensor networks
This document provides an introduction to wireless sensor networks. It discusses how sensor networks are composed of spatially distributed sensor nodes that monitor physical conditions and work cooperatively to gather and transmit sensor data via wireless communication. Each sensor node contains basic computing and communication capabilities. The document outlines common network topologies used in sensor networks and compares the capabilities of modern sensor nodes to early personal computers. Finally, it lists several example application domains for wireless sensor networks, including environmental/infrastructure monitoring, smart homes/offices, traffic control, medical care, industrial processes, and military surveillance.
Wearable Biosensors Presentation
Wearable bi sensors combine wearable technology and biosensors to monitor physiological signals and biomarkers. They consist of a sensitive biological element, transducer, and associated electronics. The biological element interacts with the analyte while the transducer converts the biological response into an electronic signal. Wearable biosensors offer advantages like rapid continuous monitoring but also have disadvantages such as high initial costs, limited battery life, and inability to withstand heat sterilization. Future trends include developing more intelligent control systems and using nanotechnology and microfluidics.
WIRELWIRELESS INTEGRATED NETWORK SENSORS
WINS is a border security solution using a wireless integrated sensor network. It partitions border areas into nodes connected by hundreds or thousands of low-power sensors. Each sensor continuously monitors for events like footsteps or sounds while operating on very small amounts of power. Detected events trigger signal processing to analyze characteristics and classify the target, then the results may be communicated to other nearby nodes or remote users. This provides continuous, distributed monitoring of border areas without large power or infrastructure requirements.
Iot based acquaponic system (dsd)
This document describes an IOT-based aquaponic system that monitors water temperature and level using sensors. The system includes a NodeMCU microcontroller, temperature and ultrasonic sensors, and a relay module. It sends sensor readings to a mobile app via a local Blynk server. The system automatically pumps water to maintain the desired water level. It was tested with a sample pond, recording temperature, water level, and motor actions in a table. The system aims to help farmers easily monitor aquaponic systems remotely using mobile devices. Future work may include oxygen and nitrate sensors, solar power, and live video streaming.
Design Development of Water Monitoring Systems by Using Arduino and Sensors
The document discusses the design and development of a water monitoring system using various sensors. It begins with an acknowledgment section thanking those involved in the project. It then provides an abstract that outlines the need for effective water management and monitoring. The document goes on to discuss different types of sensors that can be used for monitoring water levels, soil moisture, and temperature/humidity. It describes contact sensors like soil moisture sensors and non-contact sensors like ultrasonic sensors. It also discusses the arduino processing platform and components like the GSM module for data transmission. The document appears to provide details on setting up water monitoring systems using the various sensors connected to an arduino.
Wireless Sensor Networks
The document discusses wireless sensor networks and their applications. It describes wireless sensor networks as consisting of individual nodes that can interact with their environment by sensing or controlling physical parameters. It then discusses several applications of wireless sensor networks, including disaster relief, environment monitoring, intelligent buildings, facility management, machine maintenance, agriculture, healthcare, and logistics. Finally, it outlines some key requirements and mechanisms needed to implement wireless sensor networks, including communication, energy efficiency, self-configuration, collaboration, data-centric operation, and exploiting tradeoffs between different needs.
“Securing underwater wireless communication networks” 2
This document summarizes a seminar presentation on securing underwater wireless communication networks. It discusses the existing challenges with underwater wireless networks including high bit error rates, propagation delays, and low bandwidth. It proposes three schemes for securing such networks: secure time synchronization to enable power saving; secure localization for location information and data tagging; and secure routing to reject paths with malicious nodes. The techniques aim to provide secure data transmission and are based on mechanisms like time synchronization, localization using time/signal information, and routing protocols.
Unit 2 : common cellular system PPT
This document discusses the components of cellular network systems. It describes the major components as the subscriber device, base station subsystem (BSS), and network switching subsystem (NSS). The BSS consists of base transceiver stations (BTS) and base station controllers (BSC). The NSS includes the mobile switching center (MSC) and other registers. It also covers cellular component addressing using identifiers like MSISDN, IMSI, IMEI, and the process of call establishment and release in cellular networks.
IRJET- Women Security System using GSM and GPS
This document presents a women's security system that uses GPS and GSM technologies. The system includes an Arduino microcontroller connected to a GPS module, GSM modem, push button, and LCD display. When the button is pressed, the GPS module sends location data to the Arduino. The Arduino then sends an SMS alert with the latitude and longitude coordinates to predefined phone numbers using the GSM modem. The purpose is to allow women to quickly alert authorities and contacts when feeling unsafe by simply pressing a button. The system is intended to make women feel more secure when traveling alone or working night shifts.
Wireless sensor network applications
1. Wireless sensor networks consist of distributed sensor nodes that communicate wirelessly to monitor physical or environmental conditions, such as temperature, sound, or pollution levels.
2. The sensor nodes gather and route data back to a central sink/gateway node where the information can be analyzed.
3. Communication protocols and algorithms are required for efficient multi-hop routing of data between sensor nodes and the sink node.
wireless sensor networks & application :forest fire detection
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.
Cognitive radio wireless sensor networks applications, challenges and researc...
Overview
Definition cognitive radio wireless sensor network
Advantages of Using CR in WSNs
Application of CR-WSNs
Challenges
Research Trends
inter vehicle communication
Vehicular communication systems allow vehicles and roadside units to communicate and share information such as safety warnings and traffic updates. Vehicles can communicate using radio waves or infrared signals. Different radio bands like VHF, micro, and millimeter waves can be used. Bluetooth operates at 2.4 GHz and works up to 80 km/h and 80 meters. Static parameters identify a vehicle's size and GPS location, while dynamic parameters provide real-time position, speed, direction, and status of vehicle components. Information sharing between vehicles can provide safety and traffic benefits but also introduces security vulnerabilities like impersonation, jamming, and forgery of false information.
WSN IN BODY AREA NETWORK BASED ON EGERGY CONSERVATION
Here you will get the details of sensor working in body and our main focus in this topic is on energy effeciency
Sensor Protocols for Information via Negotiation (SPIN)
Wireless sensor networks consist of large numbers of sensor nodes that monitor parameters and communicate wirelessly. The SPIN protocol family was developed to address the limitations of sensor nodes, particularly their limited energy, computation, and communication capabilities. SPIN uses meta-data negotiation and resource awareness to disseminate data between nodes more efficiently than flooding protocols. SPIN-1 is a simple three-stage handshake protocol that reduces energy costs. SPIN-2 builds upon SPIN-1 with an additional energy conservation heuristic to further prolong network lifetime. Evaluation shows SPIN consumes significantly less energy than flooding for data dissemination in wireless sensor networks.
Electronics seminar topics
1. The document lists over 100 potential seminar topics in computer science and information technology, ranging from embedded systems and extreme programming to biometrics, quantum computing, and more.
2. Some examples include elastic quotas, electronic ink, gesture recognition, graphics processing units, grid computing, and honeypots.
3. The broad range of topics provide many options for students or professionals to explore emerging technologies and issues in computing.
wireless sensor network ieee
The document discusses wireless sensor networks (WSNs), which are spatially distributed autonomous sensors that monitor environmental conditions like temperature, sound, and pressure. WSNs consist of sensor nodes that communicate wirelessly and pass data to a main location. They are used in applications like industrial monitoring, healthcare monitoring, environmental monitoring, and more. The document outlines the components of sensor network nodes, characteristics of WSNs, platforms used including hardware and software, simulation methods, and concepts like distributed sensor networks and in-network processing.
Wireless Sensor Networks
A wireless sensor network consists of spatially distributed autonomous sensor nodes that monitor physical or environmental conditions. Sensor nodes gather data and relay it back to a main location. Wireless sensor networks enable monitoring of conditions such as temperature, sound, pollution levels, pressure, or motion over large areas. They have applications in industries such as agriculture, environmental protection, health care, home and building automation, and transportation.
More Related Content
What's hot
Wireless sensor network
this will be very useful for those who are seeking a good ppt on wireless sensor network,,have a look
under water wireless communication
Underwater acoustic communication is a technique of sending and receiving message below water.[1] There are several ways of employing such communication but the most common is using hydrophones. Under water communication is difficult due to factors like multi-path propagation, time variations of the channel, small available bandwidth and strong signal attenuation, especially over long ranges. In underwater communication there are low data rates compared to terrestrial communication, since underwater communication uses acoustic waves instead of electromagnetic waves.
Wireless Sensor Networks
A basic ready made presentation on wireless sensor networks. I will also upload the document from which the ppt was made.
Infrared technology
Ankit Kumar presented on infrared technology. Infrared uses electromagnetic radiation with wavelengths longer than visible light to transmit data wirelessly over short ranges of under 5 meters. It has advantages of low power and cost requirements. However, it also has disadvantages like being blocked by common materials and having a short range and lower data transmission speeds than wired connections. Infrared is commonly used in remote controls and some wireless devices and has applications in night vision, thermography and environmental control systems.
Wireless sensor networks
This document provides an introduction to wireless sensor networks. It discusses how sensor networks are composed of spatially distributed sensor nodes that monitor physical conditions and work cooperatively to gather and transmit sensor data via wireless communication. Each sensor node contains basic computing and communication capabilities. The document outlines common network topologies used in sensor networks and compares the capabilities of modern sensor nodes to early personal computers. Finally, it lists several example application domains for wireless sensor networks, including environmental/infrastructure monitoring, smart homes/offices, traffic control, medical care, industrial processes, and military surveillance.
Wearable Biosensors Presentation
Wearable bi sensors combine wearable technology and biosensors to monitor physiological signals and biomarkers. They consist of a sensitive biological element, transducer, and associated electronics. The biological element interacts with the analyte while the transducer converts the biological response into an electronic signal. Wearable biosensors offer advantages like rapid continuous monitoring but also have disadvantages such as high initial costs, limited battery life, and inability to withstand heat sterilization. Future trends include developing more intelligent control systems and using nanotechnology and microfluidics.
WIRELWIRELESS INTEGRATED NETWORK SENSORS
WINS is a border security solution using a wireless integrated sensor network. It partitions border areas into nodes connected by hundreds or thousands of low-power sensors. Each sensor continuously monitors for events like footsteps or sounds while operating on very small amounts of power. Detected events trigger signal processing to analyze characteristics and classify the target, then the results may be communicated to other nearby nodes or remote users. This provides continuous, distributed monitoring of border areas without large power or infrastructure requirements.
Iot based acquaponic system (dsd)
This document describes an IOT-based aquaponic system that monitors water temperature and level using sensors. The system includes a NodeMCU microcontroller, temperature and ultrasonic sensors, and a relay module. It sends sensor readings to a mobile app via a local Blynk server. The system automatically pumps water to maintain the desired water level. It was tested with a sample pond, recording temperature, water level, and motor actions in a table. The system aims to help farmers easily monitor aquaponic systems remotely using mobile devices. Future work may include oxygen and nitrate sensors, solar power, and live video streaming.
Design Development of Water Monitoring Systems by Using Arduino and Sensors
The document discusses the design and development of a water monitoring system using various sensors. It begins with an acknowledgment section thanking those involved in the project. It then provides an abstract that outlines the need for effective water management and monitoring. The document goes on to discuss different types of sensors that can be used for monitoring water levels, soil moisture, and temperature/humidity. It describes contact sensors like soil moisture sensors and non-contact sensors like ultrasonic sensors. It also discusses the arduino processing platform and components like the GSM module for data transmission. The document appears to provide details on setting up water monitoring systems using the various sensors connected to an arduino.
Wireless Sensor Networks
The document discusses wireless sensor networks and their applications. It describes wireless sensor networks as consisting of individual nodes that can interact with their environment by sensing or controlling physical parameters. It then discusses several applications of wireless sensor networks, including disaster relief, environment monitoring, intelligent buildings, facility management, machine maintenance, agriculture, healthcare, and logistics. Finally, it outlines some key requirements and mechanisms needed to implement wireless sensor networks, including communication, energy efficiency, self-configuration, collaboration, data-centric operation, and exploiting tradeoffs between different needs.
“Securing underwater wireless communication networks” 2
This document summarizes a seminar presentation on securing underwater wireless communication networks. It discusses the existing challenges with underwater wireless networks including high bit error rates, propagation delays, and low bandwidth. It proposes three schemes for securing such networks: secure time synchronization to enable power saving; secure localization for location information and data tagging; and secure routing to reject paths with malicious nodes. The techniques aim to provide secure data transmission and are based on mechanisms like time synchronization, localization using time/signal information, and routing protocols.
Unit 2 : common cellular system PPT
This document discusses the components of cellular network systems. It describes the major components as the subscriber device, base station subsystem (BSS), and network switching subsystem (NSS). The BSS consists of base transceiver stations (BTS) and base station controllers (BSC). The NSS includes the mobile switching center (MSC) and other registers. It also covers cellular component addressing using identifiers like MSISDN, IMSI, IMEI, and the process of call establishment and release in cellular networks.
IRJET- Women Security System using GSM and GPS
This document presents a women's security system that uses GPS and GSM technologies. The system includes an Arduino microcontroller connected to a GPS module, GSM modem, push button, and LCD display. When the button is pressed, the GPS module sends location data to the Arduino. The Arduino then sends an SMS alert with the latitude and longitude coordinates to predefined phone numbers using the GSM modem. The purpose is to allow women to quickly alert authorities and contacts when feeling unsafe by simply pressing a button. The system is intended to make women feel more secure when traveling alone or working night shifts.
Wireless sensor network applications
1. Wireless sensor networks consist of distributed sensor nodes that communicate wirelessly to monitor physical or environmental conditions, such as temperature, sound, or pollution levels.
2. The sensor nodes gather and route data back to a central sink/gateway node where the information can be analyzed.
3. Communication protocols and algorithms are required for efficient multi-hop routing of data between sensor nodes and the sink node.
wireless sensor networks & application :forest fire detection
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.
Cognitive radio wireless sensor networks applications, challenges and researc...
Overview
Definition cognitive radio wireless sensor network
Advantages of Using CR in WSNs
Application of CR-WSNs
Challenges
Research Trends
inter vehicle communication
Vehicular communication systems allow vehicles and roadside units to communicate and share information such as safety warnings and traffic updates. Vehicles can communicate using radio waves or infrared signals. Different radio bands like VHF, micro, and millimeter waves can be used. Bluetooth operates at 2.4 GHz and works up to 80 km/h and 80 meters. Static parameters identify a vehicle's size and GPS location, while dynamic parameters provide real-time position, speed, direction, and status of vehicle components. Information sharing between vehicles can provide safety and traffic benefits but also introduces security vulnerabilities like impersonation, jamming, and forgery of false information.
WSN IN BODY AREA NETWORK BASED ON EGERGY CONSERVATION
Here you will get the details of sensor working in body and our main focus in this topic is on energy effeciency
Sensor Protocols for Information via Negotiation (SPIN)
Wireless sensor networks consist of large numbers of sensor nodes that monitor parameters and communicate wirelessly. The SPIN protocol family was developed to address the limitations of sensor nodes, particularly their limited energy, computation, and communication capabilities. SPIN uses meta-data negotiation and resource awareness to disseminate data between nodes more efficiently than flooding protocols. SPIN-1 is a simple three-stage handshake protocol that reduces energy costs. SPIN-2 builds upon SPIN-1 with an additional energy conservation heuristic to further prolong network lifetime. Evaluation shows SPIN consumes significantly less energy than flooding for data dissemination in wireless sensor networks.
Electronics seminar topics
1. The document lists over 100 potential seminar topics in computer science and information technology, ranging from embedded systems and extreme programming to biometrics, quantum computing, and more.
2. Some examples include elastic quotas, electronic ink, gesture recognition, graphics processing units, grid computing, and honeypots.
3. The broad range of topics provide many options for students or professionals to explore emerging technologies and issues in computing.
What's hot (20)
Design Development of Water Monitoring Systems by Using Arduino and Sensors
Design Development of Water Monitoring Systems by Using Arduino and Sensors
“Securing underwater wireless communication networks” 2
“Securing underwater wireless communication networks” 2
wireless sensor networks & application :forest fire detection
wireless sensor networks & application :forest fire detection
Cognitive radio wireless sensor networks applications, challenges and researc...
Cognitive radio wireless sensor networks applications, challenges and researc...
WSN IN BODY AREA NETWORK BASED ON EGERGY CONSERVATION
WSN IN BODY AREA NETWORK BASED ON EGERGY CONSERVATION
Sensor Protocols for Information via Negotiation (SPIN)
Sensor Protocols for Information via Negotiation (SPIN)
Similar to Environmental wireless sensors networks
wireless sensor network ieee
The document discusses wireless sensor networks (WSNs), which are spatially distributed autonomous sensors that monitor environmental conditions like temperature, sound, and pressure. WSNs consist of sensor nodes that communicate wirelessly and pass data to a main location. They are used in applications like industrial monitoring, healthcare monitoring, environmental monitoring, and more. The document outlines the components of sensor network nodes, characteristics of WSNs, platforms used including hardware and software, simulation methods, and concepts like distributed sensor networks and in-network processing.
Wireless Sensor Networks
A wireless sensor network consists of spatially distributed autonomous sensor nodes that monitor physical or environmental conditions. Sensor nodes gather data and relay it back to a main location. Wireless sensor networks enable monitoring of conditions such as temperature, sound, pollution levels, pressure, or motion over large areas. They have applications in industries such as agriculture, environmental protection, health care, home and building automation, and transportation.
Wireless Sensor Networks
Wireless sensor networks consist of distributed autonomous sensors that monitor physical or environmental conditions. Sensor nodes gather data and transmit it to a central location. Wireless sensor networks have applications in fields like military surveillance, environmental monitoring, healthcare, home automation, and traffic control. The design of wireless sensor networks is influenced by factors like fault tolerance, scalability, hardware constraints, topology, and power consumption.
Introduction to wsn by robin abraham
This is a power point presentation in connection with subjective assignment 2 of NPTEL course named academic writing hosted by UGC and AICTE
Vlite node – new sensors solution for farming
The document describes a new wireless sensor network technology called VLITE NODE that is being developed for use in agriculture. The technology uses long-range RFID sensors to create a wireless sensor network that can monitor agricultural fields and weather conditions over a large area. Existing wireless sensor network solutions have short working ranges of only a few tens of meters, making them expensive to implement over large fields. The VLITE NODE technology aims to address this issue by utilizing long-range RFID sensors that can communicate over greater distances and allow cost-effective monitoring of wide agricultural areas.
Introduction_wsn.pptx
Wireless sensor networks consist of thousands of small sensor nodes that work together to monitor physical conditions like temperature, sound, pollution levels etc. Sensors have limited power, memory, and computing capabilities. They communicate wirelessly and can be deployed in large numbers in environments that are hard for humans to access. Applications of wireless sensor networks include environmental/habitat monitoring, precision agriculture, infrastructure protection, healthcare, smart homes and more. Key challenges in designing wireless sensor networks include energy efficiency, distributed processing, scalability, and operating in harsh environments with unreliable individual sensor nodes.
Unit1
This document discusses wireless sensor networks (WSNs) and their applications. It describes WSNs as collections of inexpensive computational nodes that measure environmental conditions and forward data to a central point. It divides WSNs into two categories:
Category 1 WSNs (C1WSNs) consist of many nodes in a mesh network with multi-hop routing. They are used for applications like military monitoring that require large areas and distances between nodes.
Category 2 WSNs (C2WSNs) have star-based single-hop networks with static routing and shorter distances between nodes. They are used for applications like home automation with direct connections between nodes and a central hub.
The document provides examples of various
Wireless Sensor Network Introduction, Applications
A wireless sensor network is a collection of nodes organized into a cooperative network that consists of spatially distributed autonomous devices using sensors to monitor physical or environmental conditions at different locations. Each node contains processing capability, memory, an RF transceiver, a power source, and sensors. Wireless sensor networks were originally developed for military surveillance but are now used in many civilian applications such as environmental monitoring, healthcare, home automation, and traffic control.
Sensor Networks Introduction and Architecture
This document provides an overview of sensor networks and wireless sensor network architectures. It begins with an introduction to wireless sensor networks and their components. It then discusses the topics, challenges, and enabling technologies for WSNs. The document outlines the architecture of a sensor node and its goals. It provides examples of WSN applications and discusses sensor network deployment considerations. Finally, it addresses the design challenges, operational challenges, and required mechanisms for WSNs to meet their requirements.
Wireless Sensor Network and Monitoring of Crop Field
1) The document discusses the use of wireless sensor networks (WSNs) to monitor environmental conditions in crop fields for precision agriculture. WSNs can collect data on soil moisture, temperature, and other parameters to help farmers optimize crop production.
2) It reviews the literature on WSN evolution and applications in agriculture such as environmental monitoring and irrigation management. WSNs offer benefits like low-cost, flexible deployment, and real-time data collection compared to traditional monitoring methods.
3) The document outlines the basic components and characteristics of WSNs, including sensor node structure, multi-hop data transmission, and connectivity options like Bluetooth, WiFi, and GPS. This information helps farmers implement effective WSNs for
Wireless Sensor Networks UNIT-1
Wireless Sensor Networks UNIT-1
You can watch my lectures at:
Digital electronics playlist in my youtube channel:
https://www.youtube.com/channel/UC_fItK7wBO6zdWHVPIYV8dQ?view_as=subscriber
My Website : https://easyninspire.blogspot.com/
WSAN Applicationsnhdndndndndbdbdhnjejej.pdf
A peer-to-peer architecture has collection of hosts connected in a network intended for
resource sharing, task processing, and communication. Each host on the network act as a
server and has equal right in terms of providing and using resources where users are
authenticated by each individual workstation. In peer to peer architecture, there is no
controller or server who can control the access and communication between hosts that
makes performance bottleneck. The communication happens in peer to peer architecture
is completely decentralized. The generalized peer to peer architecture is shown in
Fig. 1.1.2. The limitations of peer to peer architecture are lack of scalability, poor
performance, low throughput, limited flexibility etc. These limitations are overcome by
cloud computing by making architecture fully centralized. It can provide automated
scalability, high performance, flexibility, and
lecture_8-wsn.pptx
Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location.
Seminar Mobile Communications (1).pptx
This document provides an overview of wireless sensor networks (WSNs). It describes the architecture of WSNs including sensor nodes, transceivers and controllers. It discusses different types of WSNs such as terrestrial, underground, underwater, multimedia and mobile WSNs. It also covers WSN topologies, characteristics, applications and limitations. The key aspects of WSNs are that they are made up of spatially distributed sensors to monitor environmental conditions and wireless connectivity is used to transmit sensor data to a central location for processing.
I mouse
The iMouse system incorporates wireless sensor networks and video surveillance to monitor environments. It uses static sensors that form a wireless sensor network to detect events like changes in light, sound, or temperature. Mobile sensors can then be dispatched to the event location. The iMouse architecture includes static sensors, mobile sensors, and an external server. It aims to provide advanced monitoring at a lower cost than traditional surveillance systems.
Wireless Sensor Networks
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.
Wireless Sensor Network
Wireless Sensor Networks are networks that consists of sensors which are distributed in an ad hoc manner.
These sensors work with each other to sense some physical phenomenon and then the information gathered is processed to get relevant results.Wireless sensor networks consists of protocols and algorithms with self-organizing capabilities
533 450-457
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.
Wireless applications in various areas
it has a small description about how wireless sensor system network can be applied in various field. A application of leaksge detection is discussed in detail.
Bordersecurityusingwirelessintegratednetworksensorswins 130402083822-phpapp02
Wireless integrated network sensors (WINS) can be used to monitor borders by dividing the border area into nodes connected to a main node. Each node senses footstep noises that are converted into power spectral densities and compared to reference values to identify intruders. WINS require very low power so they are cheaper than radar systems and introduce minimal delay in detecting targets. They allow continuous, distributed monitoring of land, water, and air resources on a global scale.
Similar to Environmental wireless sensors networks (20)
Wireless Sensor Network Introduction, Applications
Wireless Sensor Network Introduction, Applications
Wireless Sensor Network and Monitoring of Crop Field
Wireless Sensor Network and Monitoring of Crop Field
Bordersecurityusingwirelessintegratednetworksensorswins 130402083822-phpapp02
Bordersecurityusingwirelessintegratednetworksensorswins 130402083822-phpapp02
Recently uploaded
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Demystifying Knowledge Management through Storytelling
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
Must Know Postgres Extension for DBA and Developer during Migration
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
What is an RPA CoE? Session 1 – CoE Vision
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Northern Engraving | Nameplate Manufacturing Process - 2024
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
Principle of conventional tomography-Bibash Shahi ppt..pptx
before the computed tomography, it had been widely used.
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...Pitangent Analytics & Technology Solutions Pvt. Ltd
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Recently uploaded (20)
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
Demystifying Knowledge Management through Storytelling
Demystifying Knowledge Management through Storytelling
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
Must Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during Migration
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
Environmental wireless sensors networks
- 2. Le plan du trvail est comme ci-dessous: Security in wireless sensors networks Enviremental control & monotring conclusion WSN for Environmental Monitoring Wireless sensor network
- 3. definition: Environmental monitoring describes the processes and activities that need to take place to characterize and monitor the quality of the environment. Environnemental control & monitoring
- 4. Wireless sensor network definition A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location.
- 5. Wireless sensor network Advantage of WSN: •Provide a bridge between the real physical and virtual worlds. •Allow the ability to observe the previously unobservable at a fine resolution over large spatiotemporal scales. •Have a wide range of potential applications to industry science, transportation, civil infrastructure and security.
- 6. Wireless sensor network System architecture of sensors networks:
- 7. Wireless sensor network System architecture of sensors networks 1.Sensorsnodes: where each node is connected to one sensors which are composed of a radio transceiver with an internal antenna or connection to an external antenna, a microcontroller an electronic circuit for interfacing with the sensors and an energy source, usually a battery or an embedded form of energy harvesting
- 8. This node processes and translates all the information sent by the sensor nodes to make it compatible with the application running on user’s computer. Wireless sensor network
- 9. Wireless sensor network *Consume low power *Autonomous *Operate in high volumetric densities *Adaptive to environment *Cheap
- 10. Wireless sensor network •Environmental /habitat monitoring •Acoustic detection •Seismic detection •Military surveillance •Inventory tracking •Medical monitoring •Smart spaces •Process monitoring
- 12. Introduction Wireless sensors networks and environmental care have been always very close to each other, either because they have been evolving alongside one another during the last decade or because WSN features seem to suit very well into the environmental evaluation requirements and When talking about environmental applications for WSNs WSNforEnvironmentalMonitoring
- 14. WSNforEnvironmentalMonitoring A-Agricultural Monitoring: Agricultural monitoring always focuses mostly on farming area. it is important to have a monitoring system to monitor animal behavior and produce a report regarding their health or behavior in real-time system
- 16. This is an effort to control and monitor the climate change, develop a monitoring system that manages and keeps data in real time and focuses on the processing of spatiotemporal query C- Climate Monitoring: WSNforEnvironmentalMonitoring
- 17. it is important to implement a monitoring system that is responsible in providing effective monitoring for forest environment WSNforEnvironmentalMonitoring D- Forest Monitoring:
- 18. 1/Based On the Capability of the Attacker : 1.1/Outsider versus insider (node compromise)attacks 1.2/Passive versus active attacks 1.3/Mote-class versus laptop-class attacks 1.4/Mote-class versus laptop-class attacks 2/Attacks on Information in Transit : 2.1/Interruption 2.2/Interception 2.3/Modification 2.4/Fabrication 2.5/Replaying existing messages 3/Host Based Vs Network Based Host-based attacks Network-based attacks Securityinwirelesssensorsnetworks Type of attacks: