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.
Original language | English |
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Pages | 309-312 |
Number of pages | 4 |
Publication status | Published - 2007 |
Event | International Symposium on Nonlinear Theory and Its Applications [NOLTA] - Duration: 1 Jan 2007 → … |
Conference
Conference | International Symposium on Nonlinear Theory and Its Applications [NOLTA] |
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Period | 1/01/07 → … |
Keywords
- Bio-inspired algorithm
- Clustering
- Decentralized control
- Wireless sensor networks