An Energy-Efficient Algorithm Integrated with Target Tracking and Mobile Sensor Navigation

The main function of wireless sensors is to capture the location of targets, may be for message passing or for locating enemies as in military, by monitoring the physical surrounding. If the targets maneuver is not known a priori, the task becomes difficult. In this paper, this problem is tackled by the measuring mobile target signals time of arrival (TOA). The network contains a mobile sensor, moving target, number of anchor nodes and a sensor controller that acts as a repository for storing location information. A min-max approximation scheme is used to estimate tracking location along with semi-definite programming (SDP) relaxation. A cubic strategy is applied to the mobile sensor navigation. Furthermore, an energy-efficient localization algorithm, called as probabilistic trap coverage protocol is included within each node configurations so as to improve the performance gain, throughput and hence minimize the energy consumption. Thereby, it enhances navigation control by minimizing the number of active sensors and attempts to achieve energy balance. Here performance analysis is done theoretically.