Title

A Self-Organizing Hybrid Sensor System With Distributed Data Fusion For Intruder Tracking And Surveillance

Abstract

A wireless sensor network is a network of distributed sensor nodes each equipped with its own sensors, computational resources and transceivers. These sensors are designed to be able to sense specific phenomenon over a large geographic area and communicate this information to the user. In this work a novel approach to tracking dynamic targets in a sensor field is presented. Using a combination of static and mobile sensor nodes we can track a target through the sensor field. Unlike other tracking methods that are based on computationally complex methods, the strategy adopted in this work is based on a computationally simple but effective technique of dividing the coverage region into grids based on the target location. The algorithms developed are based on a number of reasonable assumptions that are easily verified in a densely distributed sensor networks and require simple computations that efficiently tracks the target in the sensor field. The performance analysis of the tracking system is done on an experimental test-bed and also through simulation and the improvement in accuracy over other methods demonstrated. © 2008 IEEE.

Publication Date

11-13-2008

Publication Title

2008 IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, APSURSI

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/APS.2008.4619564

Socpus ID

55649094277 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/55649094277

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