Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9679
Title: Fault tolerant localization and tracking of multiple sources in WSNs using binary data
Authors: Michaelides, Michalis P. 
Laoudias, Christos 
Panayiotou, Christos 
Keywords: Binary data;Fault tolerance;Localization and tracking;Multiple sources;Wireless Sensor Networks
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 1-Jan-2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: IEEE Transactions on Mobile Computing Volume 13, Issue 6, June 2014, Article number 6701210, Pages 1213-1227
metadata.dc.doi: 10.1109/TMC.2013.2297319
Abstract: This paper investigates the use of a Wireless Sensor Network for localizing and tracking multiple event sources (targets) using only binary data. Due to the simple nature of the sensor nodes, sensing can be tampered (accidentally or maliciously), resulting in a significant number of sensor nodes reporting erroneous observations. Therefore, it is essential that any event tracking algorithm used in Wireless Sensor Networks (WSNs) exhibits fault tolerant behavior in order to tolerate misbehaving nodes. The main contribution of this paper is the development and analysis of a low-complexity, distributed, real-time algorithm that uses the binary observations of the sensors for identifying, localizing, and tracking multiple targets in a fault tolerant way. Specifically, our results indicate that the proposed algorithm retains its performance in tracking accuracy in the presence of noise and faults, even when a large percentage of sensor nodes (25 percent) report erroneous observations.
URI: http://ktisis.cut.ac.cy/handle/10488/9679
ISSN: 15361233
Rights: © 2002-2012 IEEE.
Type: Article
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