A Mental Clustering Algorithm Based on the Embedded Agent in Wireless Sensor Network
Yu Jian, Ming Chen, Guo Fu Feng · Applied Mechanics and Materials · 2013
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.