Energy-efficient cloud integrated sensor based on clustering and multihop transmission
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Abstract
An energy-efficient sensor cloud model was proposed using the clustering algorithm and forwarding traffic to the node closet to the destination. Initially, the clustering algorithm created clusters of sensors using the closeness of measurements and distance between them. Following that, the cluster head algorithm selected the cluster head from the group whose measurement values were close to the mean value of all node measurements in that cluster. In the traditional approach, all nodes in the wireless sensor network were active and directly transmitted data to the sink. As a result, energy consumption was higher when compared to multihop transmission. The cluster heads generally communicated on behalf of all the cluster nodes in our proposed approach. That resulted in less number of active nodes that minimized energy consumption. After that, the cluster heads used multihop data transmission to forward the traffic to the destination using the shortest path algorithm. In our simulation, the accuracy of data transmitted by cluster heads was nearly equal to that of data transmitted by nodes. When compared to sending traffic directly to the destination, the multihop transmission of data could save energy. Our simulation showed that our proposed method can save energy, and also, the accuracy of transferred data is acceptable.
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