Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9942
Title: Fault tolerant target localization and tracking in binary WSNs using sensor health state estimation
Authors: Laoudias, Christos 
Michaelides, Michalis P. 
Panayiotou, Christos G. 
Keywords: Algorithms;Health;Sensors;State estimation
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 1-Jan-2013
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2013 IEEE International Conference on Communications, ICC 2013; Budapest; Hungary; 9 June 2013 through 13 June 2013
metadata.dc.doi: 10.1109/ICC.2013.6654719
Abstract: Tracking of a source (target) which is moving inside a binary Wireless Sensor Network (WSN) is a challenging problem particularly when sensors may fail either due to hardware and/or software malfunctions, energy depletion or adversary attacks. Using information from failed sensors to locate and track a target may lead to high estimation errors, therefore, there is a need to develop fault tolerant localization algorithms which perform well even when a percentage of the sensors report erroneous observations. Alternatively, one may fuse information from neighboring sensors in order to determine the health state of each sensor, and subsequently use only healthy sensors in the localization and tracking process. Our contribution is the development of an architecture which combines the sensor health state estimation together with fault tolerant localization algorithms that leads to more robust target tracking in binary WSNs. Simulation results indicate that the proposed approach is resilient to various types of faults.
URI: http://ktisis.cut.ac.cy/handle/10488/9942
ISBN: 978-146733122-7
Rights: © 2013 IEEE.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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