A combined approach based on data envelopment analysis and neural networks to improve the lifetime of the sensor network

Recently, wireless sensor networks, routing protocols are based on the clustering of neighboring nodes by dividing into separate clusters and cluster head selection for combining local and cluster information to the base station and try to balance the energy consumption of nodes in the network, the best performance in terms of longevity and maintain network coverage compared with other routing methods to gain. However, clustering protocols proposed so far, the only geographical proximity (neighborhood) as a parameter in the cluster one.his study utilizes a neural network and data envelopment analysis lifetime of wireless networks and examine their effectiveness. Clusters and networks useful lifetime of the network and maintain network coverage better than the previous protocols, such as LEACH and LEA2C well as the effect the cost function, and its efficiency proposed (with simulation) confined is.

کلیدواژه ها:

wireless sensor networks ، neural networks ، reducing energy consumption ، data envelopment analysis