Abstract
Energy-based localization has received great interest due to its low cost and simple implementation. It is well-known that sensor placement around the source plays a significant role in localization performance. This paper considers source localization based on the received signal strength difference (RSSD). Then, we propose two methods for sensor placement using maximization of the determinant of Fisher information matrix (FIM). The first one is based on the Gradient optimization method in which our optimization metric is a function of angular locations of all sensors, and the output of this method is optimal angular sensor separation which is called the optimal angular placement (OAP). In the second approach, we obtain the optimization metric as a function of single variable for each sensor in which the sensors are arranged in step-by-step manner, this method is called sequential sensor placement (SSP) in our study. At the end of this paper, simulation results reveal the ability of the proposed sensor placements.
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