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Proceedings Paper

A distributed evolutionary algorithmic approach to the least-cost connected constrained sub-graph and power control problem
Author(s): Jason C. Tillett; Raghuveer Rao; Ferat Sahin; T. M. Rao
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Paper 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.

Paper Details

Date Published: 10 August 2004
PDF: 12 pages
Proc. SPIE 5440, Digital Wireless Communications VI, (10 August 2004); doi: 10.1117/12.541663
Show Author Affiliations
Jason C. Tillett, Rochester Institute of Technology (United States)
Raghuveer Rao, Rochester Institute of Technology (United States)
Ferat Sahin, Rochester Institute of Technology (United States)
T. M. Rao, SUNY/Brockport (United States)

Published in SPIE Proceedings Vol. 5440:
Digital Wireless Communications VI
Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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