Title :
Maximum life span strategy for target tracking in mobile sensor networks
Author :
Mahboubi, Hamid ; Masoudimansour, W. ; Aghdam, Amir G. ; Sayrafian-Pour, Kamran ; Marbukh, V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montréal, QC, Canada
Abstract :
In this paper, an energy-efficient technique is proposed for tracking a target in a field using a network of mobile sensors while maximizing the life span of the network. The most important energy consumption sources in a mobile sensor network (MSN) are sensing, communication and movement of the sensors. In the proposed technique, first the field is divided into a grid of arbitrarily small cells. This grid is then used to obtain a graph with properly weighted edges. The weight assignment is done in such a way that it results in a close estimate of the maximum lifetime for the network. Finally, using a shortest path algorithm, an efficient route is found to transfer information from the target to destination.
Keywords :
energy consumption; graph theory; target tracking; wireless sensor networks; MSN; arbitrarily small cells; energy consumption sources; energy-efficient technique; graph; maximum life span strategy; mobile sensor networks; shortest path algorithm; target tracking; Energy consumption; Mobile communication; Mobile computing; Sensors; Target tracking; Tin;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315525