Paper Info
Title
TeamSense: Energy-efficient autonomous mobile wireless sensor networks for object tracking
Abstract
A typical surveillance application involves the use of limited sensing resources to monitor highly dynamic and uncertain environments. As a result, there is increasing demand to develop self-optimizing wireless sensor networks that are capable of adapting to such conditions. In this paper, we present a modeling framework, TeamSense, for designing and evaluating the performance of autonomous mobile wireless sensor networks for object-tracking applications. We program each sensor node to allow peer communication and collaboration to track several objects concurrently while reducing the network's overall energy consumption. Operating in dynamic, decentralized teams, sensor nodes continuously fuse gathered data to enhance the estimation and prediction of the objects' trajectories and optimally reconfigure the formed teams. The optimal reconfiguration of each team is obtained through solving a mixed-integer program. We perform a set of experiments to examine the performance of the developed network. Our results show that the TeamSense algorithms are computationally efficient and achieve a high level of tracking performance while using limited sensing resources and maintaining desirable energy consumption levels.
Year
DOI
Venue
2012
10.1109/IWCMC.2012.6314283
IWCMC
Keywords
Field
DocType
autonomous,wireless sensor networks,object-tracking,teamsense,integer programming,surveillance,mixed-integer program,mobile radio,team formation,object tracking,energy-efficiency,energy-efficient autonomous mobile wireless sensor networks,energy consumption,peer communication,peer-to-peer computing,sensor node,energy efficiency
Sensor node,Key distribution in wireless sensor networks,Computer science,Efficient energy use,Visual sensor network,Computer network,Real-time computing,Mobile wireless sensor network,Energy consumption,Wireless sensor network,Control reconfiguration,Distributed computing
Conference
ISSN
ISBN
Citations 
2376-6492
978-1-4577-1378-1
0
PageRank 
References 
Authors
0.34
12
2
Name
Order
Citations
PageRank
Ala Al-nawaiseh100.68
Khaled Abdelghany2887.99