Research on target tracking in wireless sensor networks

Wireless sensor networks (WSN) connect physical environments with enterprise management and information systems to provide advanced monitoring, automation and control solutions for a range of applications. Since the 1990s, with the advancement in the technologies of wireless communication, embedded...

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Bibliographic Details
Main Author: He, Jie.
Other Authors: Xie Lihua
Format: Thesis
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/43526
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author He, Jie.
author2 Xie Lihua
author_facet Xie Lihua
He, Jie.
author_sort He, Jie.
collection NTU
description Wireless sensor networks (WSN) connect physical environments with enterprise management and information systems to provide advanced monitoring, automation and control solutions for a range of applications. Since the 1990s, with the advancement in the technologies of wireless communication, embedded computation, sensor and MEMS (Micro-Electro Mechanical Systems) etc., more people have increasingly paid greater attention towards micro sensor and WSN. WSN has great potentials in applications such as target tracking due to sensing, computation and communication capabilities of sensor nodes and the fact that it is easy to deploy sensor nodes. Many researches have been conducted for the field of target tracking. This dissertation researches on algorithms of target tracking using WSN. The basics on WSN and the principle of target tracking are introduced in Chapter 1, Chapter 2 and 3 propose an energy efficient target tracking algorithm. Based on the research of existing target tracking algorithms, this dissertation discusses performances of different algorithms and proposes a target tracking algorithm. This algorithm can balance energy consumption among sensors, so as to extend the network lifetime for more tasks. This dissertation elaborates the connectivity between sensor nodes which are involved in the target tracking process and proposes a solution to the problem of connectivity when the transmission radius is less than twice of sensor radius, so as to reduce the code of transmission. Lastly, in target tracking systems, because of the existence of an external “noise elements” which decreases the accuracy of target tracking dramatically, chapter 4 imports the particle filter algorithm to solve the noisy measurement problem in the sensor network.
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spelling ntu-10356/435262023-07-04T15:27:42Z Research on target tracking in wireless sensor networks He, Jie. Xie Lihua School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Wireless sensor networks (WSN) connect physical environments with enterprise management and information systems to provide advanced monitoring, automation and control solutions for a range of applications. Since the 1990s, with the advancement in the technologies of wireless communication, embedded computation, sensor and MEMS (Micro-Electro Mechanical Systems) etc., more people have increasingly paid greater attention towards micro sensor and WSN. WSN has great potentials in applications such as target tracking due to sensing, computation and communication capabilities of sensor nodes and the fact that it is easy to deploy sensor nodes. Many researches have been conducted for the field of target tracking. This dissertation researches on algorithms of target tracking using WSN. The basics on WSN and the principle of target tracking are introduced in Chapter 1, Chapter 2 and 3 propose an energy efficient target tracking algorithm. Based on the research of existing target tracking algorithms, this dissertation discusses performances of different algorithms and proposes a target tracking algorithm. This algorithm can balance energy consumption among sensors, so as to extend the network lifetime for more tasks. This dissertation elaborates the connectivity between sensor nodes which are involved in the target tracking process and proposes a solution to the problem of connectivity when the transmission radius is less than twice of sensor radius, so as to reduce the code of transmission. Lastly, in target tracking systems, because of the existence of an external “noise elements” which decreases the accuracy of target tracking dramatically, chapter 4 imports the particle filter algorithm to solve the noisy measurement problem in the sensor network. Master of Science 2011-03-16T04:31:23Z 2011-03-16T04:31:23Z 2009 2009 Thesis http://hdl.handle.net/10356/43526 en 113 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
He, Jie.
Research on target tracking in wireless sensor networks
title Research on target tracking in wireless sensor networks
title_full Research on target tracking in wireless sensor networks
title_fullStr Research on target tracking in wireless sensor networks
title_full_unstemmed Research on target tracking in wireless sensor networks
title_short Research on target tracking in wireless sensor networks
title_sort research on target tracking in wireless sensor networks
topic DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
url http://hdl.handle.net/10356/43526
work_keys_str_mv AT hejie researchontargettrackinginwirelesssensornetworks