A Distributed evolutionary algorithmic approach to the least-cost connected constrained sub-graph and power control problem

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Title: A Distributed evolutionary algorithmic approach to the least-cost connected constrained sub-graph and power control problem
Author: Tillett, Jason; Rao, Raghuveer; Sahin, Ferat; Rao, T.
Abstract: When wireless sensors are capable of variable transmit power and are battery powered, it is important to select the appropriate transmit power level for the node. Lowering the transmit power of the sensor nodes imposes a natural clustering on the network and has been shown to improve throughput of the network. However, a common transmit power level is not appropriate for inhomogeneous networks. A possible fitness-based approach, motivated by an evolutionary optimization technique, Particle Swarm Optimization (PSO) is proposed and extended in a novel way to determine the appropriate transmit power of each sensor node. A distributed version of PSO is developed and explored using experimental fitness to achieve an approximation of least-cost connectivity.
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/1850/8960
Date: 2004-08-10

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