A Distributed evolutionary algorithmic approach to the coverage problem for submersible sensors

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Title: A Distributed evolutionary algorithmic approach to the coverage problem for submersible sensors
Author: Tillett, Jason; Rao, Raghuveer; Sahin, Ferat
Abstract: Untethered, underwater sensors, deployed for event detection and tracking and operating in an autonomous mode will be required to self-assemble into a configuration, which optimizes their coverage, effectively minimizing the probability that an event in the target area goes undetected. This organized, cooperative, and autonomous, spreading-out of the sensors is complicated due to sensors localized communication. A given sensor will not in general have position and velocity information for all sensors, but only for those in its communication area. A possible approach to this problem, motivated by an evolutionary optimization technique, Particle Swarm Optimization (PSO) is proposed and extended in a novel way. A distributed version of PSO is developed. A distributed version of PSO is explored using experimental fitness to address the coverage problem in a two dimensional area.
Description: Copyright 2004 Society of Photo-Optical Instrumentation Engineers. These proceedings were published at the SPIE defense and security symposium and is made available as an electronic reprint (preprint) with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Record URI: http://hdl.handle.net/1850/8949
Date: 2004-04-12

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