Target tracking by proportion of distance in wireless sensor networks

Nowadays, wireless sensor networks (WSNs) become a hot researching area applying from military detection to public surveillance. Among these applications, target tracking is one of the most important research aspects. In many circumstances, it is difficult to obtain the distance from the observation nodes to the surveillant target. As a result, using distance as a factor to determine the target location is not always feasible. In this paper, we propose a target tracking algorithm based on the sensing information which is in proportion to or in inverse proportion to the exponent of distance. The proportions of sensing information on different sensors are used to draw the loci of the target. The target location can be approximated by these loci. The simulation results show that the proposed method performs much better when network density raises and has few burst errors when the variance of noise increased. The nonlinear optimization process utilized by this paper descends quickly for target locating with less number of sensor nodes involved.