Target Tracking in Wireless Sensor Network

2020 ◽  
pp. 857-880
Author(s):  
Madhuri Rao ◽  
Narendra Kumar Kamila
Keyword(s):  
Wireless Sensor Network ◽  
Target Tracking ◽  
Sensor Network ◽  
Traffic Control ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Matlab Simulation ◽  
Wireless Sensor Nodes ◽  
Habitat Monitoring ◽  
Emergency Rescue

Wireless Sensor nodes are being employed in various applications like in traffic control, battlefield, and habitat monitoring, emergency rescue, aerospace systems, healthcare systems and in intruder tracking recently. Tracking techniques differ in almost every application of Wireless Sensor Network (WSN), as WSN is itself application specific. The chapter aims to present the current state of art of the tracking techniques. It throws light on how mathematically target tracking is perceived and then explains tracking schemes and routing techniques based on tracking techniques. An insight of how to code localization techniques in matlab simulation tool is provided and analyzed. It further draws the attention of the readers to types of tracking scenarios. Some of the well established tracking techniques are also surveyed for the reader's benefit. The chapter presents with open research challenges that need to be addressed along with target tracking in wireless sensor networks.

Target Tracking in Wireless Sensor Network

2017 ◽  
pp. 413-437
Author(s):  
Madhuri Rao ◽  
Narendra Kumar Kamila
Keyword(s):  
Wireless Sensor Network ◽  
Target Tracking ◽  
Sensor Network ◽  
Traffic Control ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Matlab Simulation ◽  
Wireless Sensor Nodes ◽  
Habitat Monitoring ◽  
Emergency Rescue

Wireless Sensor nodes are being employed in various applications like in traffic control, battlefield, and habitat monitoring, emergency rescue, aerospace systems, healthcare systems and in intruder tracking recently. Tracking techniques differ in almost every application of Wireless Sensor Network (WSN), as WSN is itself application specific. The chapter aims to present the current state of art of the tracking techniques. It throws light on how mathematically target tracking is perceived and then explains tracking schemes and routing techniques based on tracking techniques. An insight of how to code localization techniques in matlab simulation tool is provided and analyzed. It further draws the attention of the readers to types of tracking scenarios. Some of the well established tracking techniques are also surveyed for the reader's benefit. The chapter presents with open research challenges that need to be addressed along with target tracking in wireless sensor networks.

scholarly journals Impedance-Based Wireless Sensor Network for Metal-Protective Coating Evaluation

2013 ◽  
pp. 177-192
Author(s):  
Ronghua Yu ◽  
Qixin Zhou ◽  
Yechun Wang ◽  
Chao You
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Protective Coating ◽  
Electrochemical Impedance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Data ◽  
Rf Transceiver ◽  
Wireless Sensor Nodes ◽  
Flowing Fluid

Researchers have been focused on the influences of flowing fluid on the corrosion of bare metals, but there is little emphasis on the degradation of metal-protective coating. Evaluating the metal-protective coating usually uses the Electrochemical Impedance Spectroscopy (EIS) method. EIS is a technique used for evaluating coating permeability or barrier performance based on the electrical impedance of coating. This paper presents a new impedance-based wireless sensor network for metal-protective coating evaluation. This wireless sensor network consists of two parts: impedance-based wireless sensor nodes and a wireless data base that are equipped with a network analyzer (AD5933) and a RF transceiver (CC1111/CC1110). In the experiment, there are three coating panels immersed in flowing deionized water (DI water) and one coating panel immersed in stationary DI water. Experimental results demonstrate that the proposed wireless sensor network is capable to evaluate the coating degrading.

Design of a Wireless Sensor Network Node Based on STM32

2013 ◽  
Vol 347-350 ◽  
pp. 1920-1923
Author(s):  
Yu Jia Sun ◽  
Xiao Ming Wang ◽  
Fang Xiu Jia ◽  
Ji Yan Yu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Node ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Communication Module ◽  
Design Factors

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.

Optimisation of Radiation Beam in Linear Nodes Array of Wireless Sensor Network for Improved Performance

2012 ◽  
pp. 215-225
Author(s):  
N. N. N. Abd. Malik ◽  
M. Esa ◽  
S. K. S. Yusof ◽  
S. A. Hamzah ◽  
M. K. H. Ismail
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Linear Array ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Communication Link ◽  
Radiation Beam ◽  
Wireless Sensor Nodes ◽  
Position Errors ◽  
Improved Performance

This chapter presents an intelligent method of optimising the radiation beam of wireless sensor nodes in Wireless Sensor Network (WSN). Each node has the feature of a monopole antenna. The optimisation involves selection of nodes to be organised as close as possible to a uniform linear array (ULA) in order to minimise the position errors, which will improve the radiation beam reconfiguring performance. Instead of utilising random beamforming, which needs a large number of sensor nodes to interact with each other and form a narrow radiation beam, the developed optimisation algorithm is emphasized to only a selected number of sensor nodes which can construct a linear array. Thus, the method utilises radiation beam reconfiguration technique to intelligently establish a communication link in a WSN.

scholarly journals Impedance-Based Wireless Sensor Network for Metal-Protective Coating Evaluation

2011 ◽  
Vol 1 (3) ◽  
pp. 25-39 ◽  
Author(s):  
Ronghua Yu ◽  
Qixin Zhou ◽  
Yechun Wang ◽  
Chao You
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Protective Coating ◽  
Electrochemical Impedance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Data ◽  
Rf Transceiver ◽  
Wireless Sensor Nodes ◽  
Flowing Fluid

Researchers have been focused on the influences of flowing fluid on the corrosion of bare metals, but there is little emphasis on the degradation of metal-protective coating. Evaluating the metal-protective coating usually uses the Electrochemical Impedance Spectroscopy (EIS) method. EIS is a technique used for evaluating coating permeability or barrier performance based on the electrical impedance of coating. This paper presents a new impedance-based wireless sensor network for metal-protective coating evaluation. This wireless sensor network consists of two parts: impedance-based wireless sensor nodes and a wireless data base that are equipped with a network analyzer (AD5933) and a RF transceiver (CC1111/CC1110). In the experiment, there are three coating panels immersed in flowing deionized water (DI water) and one coating panel immersed in stationary DI water. Experimental results demonstrate that the proposed wireless sensor network is capable to evaluate the coating degrading.

Mobile Nodes Deployment Scheme Design Based on Perceived Probability Model in Heterogeneous Wireless Sensor Network

2014 ◽  
Vol 26 (5) ◽  
pp. 616-621 ◽  
Author(s):  
Ningning Wu ◽  
◽  
Juwei Zhang ◽  
Qiangyi Li ◽  
Shiwei Li ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Probability Model ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Network Nodes ◽  
Heterogeneous Wireless Sensor Network ◽  
Perceived Probability

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260005/10.jpg"" width=""200"" /> Nodes moving direction in our scheme</div> Wireless sensor network nodes deployment optimization problem is studied and wireless sensor nodes deployment determines its capability and lifetime. The nodes deployment scheme based on the perceived probability model aiming at wireless sensor network nodes which are randomly deployed is designed. The scheme can be used to calculate the perceived probability in the area around wireless sensor network nodes and move the wireless sensor nodes to the low perceived probability area according to the current energy of the wireless sensor node. The simulation results show that this deployment scheme achieves the goal of the nodes reasonable distribution by improving the network coverage and reducing the nodes movement distance and energy consumption. </span>

scholarly journals Efficient and Adaptive Node Selection for Target Tracking in Wireless Sensor Network

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Juan Feng ◽  
Hongwei Zhao ◽  
Baowang Lian
Keyword(s):  
Wireless Sensor Network ◽  
Target Tracking ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Selection Strategy ◽  
Tracking Accuracy ◽  
Node Selection ◽  
Information Utility ◽  
Distance Weighted

In target tracking wireless sensor network, choosing the proper working nodes can not only minimize the number of active nodes, but also satisfy the tracking reliability requirement. However, most existing works focus on selecting sensor nodes which are the nearest to the target for tracking missions and they did not consider the correlation of the location of the sensor nodes so that these approaches can not meet all the goals of the network. This work proposes an efficient and adaptive node selection approach for tracking a target in a distributed wireless sensor network. The proposed approach combines the distance-based node selection strategy and particle filter prediction considering the spatial correlation of the different sensing nodes. Moreover, a joint distance weighted measurement is proposed to estimate the information utility of sensing nodes. Experimental results show that EANS outperformed the state-of-the-art approaches by reducing the energy cost and computational complexity as well as guaranteeing the tracking accuracy.

scholarly journals Security in Wireless sensor network: Approaches and Issues

2015 ◽  
Vol 15 (3) ◽  
pp. 584
Author(s):  
Raja Waseem Anwar ◽  
Majid Bakhtiari ◽  
Anazida Zainal ◽  
Kashif Naseer Qureshi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Communication Overhead ◽  
Network Resources ◽  
Communication Services ◽  
Wireless Sensor Nodes ◽  
Mass Public ◽  
Network Approaches

Wireless sensor network is a tremendous emerging technology provides communication services for environmental monitoring and target tracking for mass public and military. With increasing of this smart network popularity sensor network faced various challenges and threats. The inclusion of wireless sensor nodes also incurs different types of security threats in network. Mostly networks are using shared key approaches to make less communication overhead, but still network compromise with replay impersonation and compromise attacks. The existing proposed schemes are not fully addressed other network resources such as energy and speed, etc.  The intent of this paper is to provide a comprehensive security requirement, detail about security attacks in network and discuss the existing security schemes.

scholarly journals Future Trends in Wireless Sensor Network (WSN)

2019 ◽  
Vol 8 (6S2) ◽  
pp. 480-482
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Trends ◽  
Wireless Sensor Nodes ◽  
Military Application ◽  
Remote Environment

In part years wireless sensor networks (WSNs) have shown great improvement and also have become trusted areas in research. A wireless sensor networks (WSNs) is made up of many wireless sensor nodes that provides the source field and sink of a wireless network. The ability to sense the surrounding nodes, computing and connecting to other nodes wirelessly provide the wireless sensor network s(WSNs).the application of WSN is seen in many areas like military application, tracking, monitoring remote environment, surveillance, healthcare department and so on. Because of wide application the challenges for better developed technology and improvement have increased .this paper discuss some of the recent and future trends of Wireless sensor network. [1],[ 3],[5]

scholarly journals Electronic Vaccine Monitoring System

2020 ◽  
Vol 8 (6) ◽  
pp. 3963-3968
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Human Life ◽  
Visual Display ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Emergency Response System ◽  
Temperature Observation ◽  
Visual Display Unit

In today’s world we tend to face with many several different types of emergencies within the indoor atmosphere. Response to such emergencies is important so as to shield resources together with human life and additionally we will save property from harm. During these Paper, we tend to gift wireless sensor network for Temperature observation. Which might report the emergency to the users in numerous forms, like as pop-ups on a visual display unit, SMS on their cell phones and then on. Because of this flexibility of coverage low value wireless sensor network ready for emergency response system of future. During this paper we tend to develop three wireless sensor nodes and that we need to place in numerous positions within the building and we need to inform to the master node or observation node regarding the temperature on the market at every sensor node. And that we additionally planning to specialize in wireless temperature observation and controlling the vaccine temperature.

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