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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doaj-6b793f29456b4071b58ec864eb31524c2020-11-24T21:19:11ZengMDPI AGSensors1424-82202016-06-0116693710.3390/s16060937s16060937Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor NetworksShi-Kuan Liao0Kai-Jay Lai1Hsiao-Ping Tsai2Chih-Yu Wen3Department of Electrical Engineering, Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung 402, TaiwanDepartment of Electrical Engineering, Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung 402, TaiwanDepartment of Electrical Engineering, Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung 402, TaiwanDepartment of Electrical Engineering, Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung 402, TaiwanTarget 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.http://www.mdpi.com/1424-8220/16/6/937information compressiontarget trackingwireless sensor network |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shi-Kuan Liao Kai-Jay Lai Hsiao-Ping Tsai Chih-Yu Wen |
spellingShingle |
Shi-Kuan Liao Kai-Jay Lai Hsiao-Ping Tsai Chih-Yu Wen Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks Sensors information compression target tracking wireless sensor network |
author_facet |
Shi-Kuan Liao Kai-Jay Lai Hsiao-Ping Tsai Chih-Yu Wen |
author_sort |
Shi-Kuan Liao |
title |
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_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_sort |
distributed information compression for target tracking in cluster-based wireless sensor networks |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2016-06-01 |
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. |
topic |
information compression target tracking wireless sensor network |
url |
http://www.mdpi.com/1424-8220/16/6/937 |
work_keys_str_mv |
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