On the Impact of Localization and Density Control Algorithms in Target Tracking Applications for Wireless Sensor Networks

作     者：Campos, Andre N. Souza, Efren L. Nakamura, Fabiola G. Nakamura, Eduardo F. Rodrigues, Joel J. P. C. 

作者机构：Univ Fed Amazonas Inst Comp Setor Norte BR-69077000 Manaus AM Brazil Anal Res & Technol Innovat Ctr FUCAPI BR-69040420 Manaus AM Brazil Univ Beira Interior Inst Telecomunicacoes P-6201001 Covilha Portugal 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2012年第12卷第6期

页      面：6930-6952页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：Brazilian National Council for Scientific and Technological Development (CNPq) Amazon State Research Foundation (FAPEAM) [575808/2008-0, 2210.UNI175.3532.03022011] Instituto de Telecomunicaoes Next Generation Networks Applications Group (NetGNA), Portugal FCT - Fundacao para a Ciencia e a Tecnologia [PEst-OE/EEI/LA0008/2011] 

主　　题：target tracking integrated algorithms density control localization 

摘      要：Target tracking is an important application of wireless sensor networks. The networks ability to locate and track an object is directed linked to the nodes ability to locate themselves. Consequently, localization systems are essential for target tracking applications. In addition, sensor networks are often deployed in remote or hostile environments. Therefore, density control algorithms are used to increase network lifetime while maintaining its sensing capabilities. In this work, we analyze the impact of localization algorithms (RPE and DPE) and density control algorithms (GAF, A3 and OGDC) on target tracking applications. We adapt the density control algorithms to address the k-coverage problem. In addition, we analyze the impact of network density, residual integration with density control, and k-coverage on both target tracking accuracy and network lifetime. Our results show that DPE is a better choice for target tracking applications than RPE. Moreover, among the evaluated density control algorithms, OGDC is the best option among the three. Although the choice of the density control algorithm has little impact on the tracking precision, OGDC outperforms GAF and A3 in terms of tracking time.