In this paper, efficient sensor deploymentalgorithms are proposed to improve the coverage area in the target field. The proposed algorithms calculate the position of the sensors iteratively, based on the existing cov...
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ISBN:
(纸本)9781424456383
In this paper, efficient sensor deploymentalgorithms are proposed to improve the coverage area in the target field. The proposed algorithms calculate the position of the sensors iteratively, based on the existing coverage holes in the target field. The multiplicatively weighted Voronoi (MW-Voronoi) diagram is used to discover the coverage holes corresponding to different sensors with different sensing ranges. Under the proposed procedures, the sensors move in such a way that the coverage holes in the target field are reduced. Simulation results are provided to demonstrate the effectiveness of the deployment schemes proposed in this paper.
We address the problem of tracking m targets using n mobile sensors for the case of m >> n using a coupled estimation and control algorithm. We propose an information-driven flocking algorithm as a self-deployme...
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ISBN:
(纸本)9781457710964
We address the problem of tracking m targets using n mobile sensors for the case of m >> n using a coupled estimation and control algorithm. We propose an information-driven flocking algorithm as a self-deployment algorithm for mobile sensor networks for multi-target tracking. The self-deployment algorithm is a modified form of Olfati-Saber's flocking algorithm [10] with n distinct gamma-agents. The mobile sensors track their dedicated gamma-agent that are located at the optimal points that maximize the information value of the collective sensed data by any sensor. A Fisher Information Matrix (FIM) based metric called the "information value function" is introduced to measure the quality of information sensed by mobile sensors with limited sensing range. The information-driven flocking algorithm attempts to simultaneously increase the sensor coverage and the information value while maintaining a minimum distance between the sensors and from the boundaries of the sensing region. Simulation results are presented for tracking 250 maneuvering targets in a rectangular region using 25 mobile sensors that are self-deployed using coupled information-driven flocking and information fusion.
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