@inproceedings{fdb1370c251b4294897f0b4f0bb52196,
title = "A Bio-Inspired Algorithm for Performance Optimization in Wireless Sensor Networks",
abstract = "A wireless sensor network typically comprises a number of inexpensive power constrained sensors which collect data from the sensing environment and transmit them towards the base station in a coordinated way. Employing techniques of clustering and election of cluster heads can increase the transmission efficiency and prolong the network lifetime. This paper proposes a bio-inspired de-centralized clustering algorithm for wireless sensor networks. The clustering algorithm is evaluated assuming a first-order radio model. Simulation results show that the proposed algorithm brings a 16 % to 161 % improvement over other de-centralized clustering algorithms in terms of network lifetime. Simulation results also show that the proposed de-centralized clustering algorithm has a similar performance as the centralized clustering algorithm.",
keywords = "bio-inspired algorithm, clustering, decentralized control, wireless sensor networks",
author = "Chi-Tsun Cheng and Tse, {Chi K.} and Lau, {Francis C. M.}",
year = "2007",
month = sep,
doi = "10.34385/proc.41.18PM2-C-4",
language = "English",
series = "IEICE Proceeding Series",
pages = "309--312",
booktitle = "2007 International Symposium on Nonlinear Theory and Its Applications, NOLTA'07",
note = "2007 International Symposium on Nonlinear Theory and its Applications (NOLTA'07), NOLTA 2007 ; Conference date: 16-09-2007 Through 19-09-2007",
}