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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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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. |
format | Online Article Text |
id | pubmed-4934362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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