A Mental Clustering Algorithm Based on the Embedded Agent in Wireless Sensor Network

Yu Mei Jian; Ming Chen; Guo Fu Feng

doi:10.4028/www.scientific.net/AMM.397-400.2037

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400A Mental Clustering Algorithm Based on the...

A Mental Clustering Algorithm Based on the Embedded Agent in Wireless Sensor Network

Abstract:

In this paper, a clustering protocol for Embedded Agent sensor network is proposed. In LEACH protocol, the selection probability P of candidate cluster head is constant without thinking about residual energy, which caused the lower residual energy easy to be the candidate cluster head. Compared with traditional structure of wireless sensor network, parameter was optimized. The confidence of the node, select probability and residual energy are the parameter of candidate cluster head, communication cost as the parameter of final cluster node. Compared with LEACH and ASCH, EACA take more parameters than LEACH. Results show that EACA can balance the energy load in the network, and effectively reduce more energy consumption.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

Pages:

2037-2041

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.397-400.2037

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Online since:

September 2013

Authors:

Yu Mei Jian, Ming Chen, Guo Fu Feng

Keywords:

Agent, Clustering Algorithm, Mental Factor, Wireless Sensor Network (WSN)

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