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