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GLT: Grouping Based Location Tracking for Object Tracking Sensor Networks
Joint Authors
Hawbani, Ammar
Wang, Xingfu
Karmoshi, Saleem
Kuhlani, Hassan
Ghannami, Aiman
Abudukelimu, Adili
Ghoul, Rafia
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-18
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Hawbani, Ammar& Wang, Xingfu& Karmoshi, Saleem& Kuhlani, Hassan& Ghannami, Aiman& Abudukelimu, Adili…[et al.]. 2017. GLT: Grouping Based Location Tracking for Object Tracking Sensor Networks. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1205885
Modern Language Association (MLA)
Hawbani, Ammar…[et al.]. GLT: Grouping Based Location Tracking for Object Tracking Sensor Networks. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1205885
American Medical Association (AMA)
Hawbani, Ammar& Wang, Xingfu& Karmoshi, Saleem& Kuhlani, Hassan& Ghannami, Aiman& Abudukelimu, Adili…[et al.]. GLT: Grouping Based Location Tracking for Object Tracking Sensor Networks. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1205885
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205885