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Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks

Target tracking is a critical wireless sensor application, which involves signal and information processing technologies. In conventional target position estimation methods, an estimate is usually demonstrated by an average target position. In contrast, this work proposes a distributed information c...

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Detalles Bibliográficos
Autores principales: Liao, Shi-Kuan, Lai, Kai-Jay, Tsai, Hsiao-Ping, Wen, Chih-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934362/
https://www.ncbi.nlm.nih.gov/pubmed/27338417
http://dx.doi.org/10.3390/s16060937
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author Liao, Shi-Kuan
Lai, Kai-Jay
Tsai, Hsiao-Ping
Wen, Chih-Yu
author_facet Liao, Shi-Kuan
Lai, Kai-Jay
Tsai, Hsiao-Ping
Wen, Chih-Yu
author_sort Liao, Shi-Kuan
collection PubMed
description Target tracking is a critical wireless sensor application, which involves signal and information processing technologies. In conventional target position estimation methods, an estimate is usually demonstrated by an average target position. In contrast, this work proposes a distributed information compression method to describe the measurement uncertainty of tracking problems in cluster-based wireless sensor networks. The leader-based information processing scheme is applied to perform target positioning and energy conservation. A two-level hierarchical network topology is adopted for energy-efficient target tracking with information compression. A Level 1 network architecture is a cluster-based network topology for managing network operations. A Level 2 network architecture is an event-based and leader-based topology, utilizing the concept of information compression to process the estimates of sensor nodes. The simulation results show that compared to conventional schemes, the proposed data processing scheme has a balanced system performance in terms of tracking accuracy, data size for transmission and energy consumption.
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spelling pubmed-49343622016-07-06 Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks Liao, Shi-Kuan Lai, Kai-Jay Tsai, Hsiao-Ping Wen, Chih-Yu Sensors (Basel) Article Target tracking is a critical wireless sensor application, which involves signal and information processing technologies. In conventional target position estimation methods, an estimate is usually demonstrated by an average target position. In contrast, this work proposes a distributed information compression method to describe the measurement uncertainty of tracking problems in cluster-based wireless sensor networks. The leader-based information processing scheme is applied to perform target positioning and energy conservation. A two-level hierarchical network topology is adopted for energy-efficient target tracking with information compression. A Level 1 network architecture is a cluster-based network topology for managing network operations. A Level 2 network architecture is an event-based and leader-based topology, utilizing the concept of information compression to process the estimates of sensor nodes. The simulation results show that compared to conventional schemes, the proposed data processing scheme has a balanced system performance in terms of tracking accuracy, data size for transmission and energy consumption. MDPI 2016-06-22 /pmc/articles/PMC4934362/ /pubmed/27338417 http://dx.doi.org/10.3390/s16060937 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liao, Shi-Kuan
Lai, Kai-Jay
Tsai, Hsiao-Ping
Wen, Chih-Yu
Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks
title Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks
title_full Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks
title_fullStr Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks
title_full_unstemmed Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks
title_short Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks
title_sort distributed information compression for target tracking in cluster-based wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934362/
https://www.ncbi.nlm.nih.gov/pubmed/27338417
http://dx.doi.org/10.3390/s16060937
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