alexa Collaborative Signal and Information Processing for Target Detection with Heterogeneous Sensor Networks
ISSN: 2090-4886

International Journal of Sensor Networks and Data Communications
Open Access

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Research Article

Collaborative Signal and Information Processing for Target Detection with Heterogeneous Sensor Networks

Minghui Li1*, Yilong Lu2 and Bo He3

1School of Engineering, University of Glasgow, Glasgow, United Kingdom

2School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

3School of Information Science and Engineering, Ocean University of China, Qingdao, China

*Corresponding Author:
Minghui Li
School of Engineering, University of Glasgow, Glasgow, United Kingdom
Tel: +44-141-548-2463
E-mail: [email protected]

Received date: September 19, 2013; Accepted date: November 14, 2013; Published date: November 25, 2013

Citation: Li M, Lu Y, He B (2013) Collaborative Signal and Information Processing for Target Detection with Heterogeneous Sensor Networks. Sensor Netw Data Commun 1:112. doi: 10.4172/2090-4886.1000112

Copyright: © 2013 Li M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In this paper, an approach for target detection and acquisition with heterogeneous sensor networks through strategic resource allocation and coordination is presented. Based on sensor management and collaborative signal and information processing, low-capacity low-cost sensors are strategically deployed to guide and cue scarce highperformance sensors in the network to improve the data quality, with which the mission is eventually completed more efficiently with lower cost. We focus on the problem of designing such a network system in which issues of resource selection and allocation, system behavior and capacity, target behavior and patterns, the environment, and multiple constraints such as the cost must be addressed simultaneously. Simulation results offer significant insight into sensor selection and network operation, and demonstrate the great benefits introduced by guided search in an application of hunting down and capturing hostile vehicles on the battlefield.

 

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