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Wireless Communications and Mobile Computing
Volume 2017 (2017), Article ID 4509697, 19 pages
Research Article

GLT: Grouping Based Location Tracking for Object Tracking Sensor Networks

1University of Science and Technology of China, Hefei, China
2Hunan University, Hunan, China

Correspondence should be addressed to Xingfu Wang

Received 21 December 2016; Revised 16 March 2017; Accepted 9 April 2017; Published 18 May 2017

Academic Editor: Pierre Leone

Copyright © 2017 Ammar Hawbani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The use of wireless sensor networks (WSN) in tracking applications is growing rapidly. In these applications, the nodes detect, monitor, and track a target, object, or event. In this paper, we consider the problem of tracking mobile objects in wireless sensor networks (WSN). We present a novel tracking model, named Grouping based Location Tracking (GLT), scaling well with the number of nodes and the number of mobile objects. GLT is based on the Grouping Hierarchy Structure, GHS. In GHS, nodes are partitioned into groups (not clusters) according to their maximum covered region (MCR) such that each group contains a number of nodes and a number of leaders. GLT consists of two tiers. The first tier, which is called the Notification Tree (NT), enhances the activation mechanism, the data cleaning mechanism, and the energy balancing mechanism. On the other hand, the second tier, which is called the Hierarchical Spanning Tree (HST), supports the data reporting mechanism and the lifetime prolonging mechanism. Simulations results show that GLT reduces the communication node selections overhead without diminishing object tracking accuracy and achieves a significant energy consumption reduction and network lifetime extension compared with the state-of-the-art approaches.