DocumentCode :
592215
Title :
Maximum lifetime strategy for target monitoring in a mobile sensor network with obstacles
Author :
Masoudimansour, W. ; Mahboubi, Hamid ; Aghdam, Amir G. ; Sayrafian-Pour, Kamran
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montréal, QC, Canada
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
1404
Lastpage :
1410
Abstract :
In this paper, an energy efficient technique is proposed for target monitoring in a mobile sensor network in the presence of obstacles. The main sources of energy consumption in a mobile sensor are sensing, communicating and movement. The objective is to maximize the lifetime of the network while monitoring the target. To this end, a graph is constructed and its edges are weighted according to the remaining energy of each sensor. The lifetime maximization problem is subsequently transformed into a shortest-path problem. The proposed technique provides an efficient relocation strategy for the sensors and an energy-efficient route to transfer information from the target to the destination in the presence of obstacles. It is shown that under certain conditions, the lifetime of the network under the proposed strategy is close to the maximum achievable time. Simulations demonstrate the effectiveness of the proposed technique.
Keywords :
distributed sensors; energy conservation; energy consumption; graph theory; network theory (graphs); object detection; target tracking; telecommunication network reliability; telecommunication power management; wireless sensor networks; edge weighing; efficient relocation strategy; energy consumption; energy efficient technique; energy-efficient information transfer route; graph construction; lifetime maximization problem; maximum lifetime strategy; mobile sensor network; shortest-path problem; target monitoring; Energy consumption; Mobile communication; Mobile computing; Monitoring; Robot sensing systems; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6425902
Filename :
6425902
Link To Document :
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