Mohammad Karim Sohrabi - Department of computer engineering, Islamic Azad University, Semnan Branch, Garmsar, Iran
Elahe Khorramian - Department of computer engineering, Islamic Azad University, Semnan Branch, Semnan, Iran

Sensor networks generally consist of a very great number of sensor nodes whichwill be spread into a vast environment and aggregate data out of it. The Sensornodes are afflicted with some limitations as follows memory, reception,communication as well as calculation capability, and battery power. Thetransmission of a great amount of extra data increases data transmission andproportionally increases the amount of energy and bandwidth for the datatransmission. One solution for this issue is data aggregation. The results ofaggregated data influence the accuracy and precision of the final result alreadygleaned from the base station. The main challenge in such networks is how tofurther elongate the network lifetime and among the factors doing so is the energyconsumption or energy optimization. The clustering is one opt method in place forfurthering the network life span. Respectively the clustering protocols have come upwith a suitable method for the so called challenge or more simply put increasing thelifetime. In this paper the researchers attempt to bring forth yet another efficientprotocol for data aggregation hinging around clustering which uses maximumresidual energy and minimum distance for selecting the cluster-head to reduce theconsumption of energy. The experimental results point to this very fact that Energy-Efficient Clustering Algorithm through Residual Energy and Average Distance(EECA-READ) attains very good performance.

Wireless sensor networks, Clustering, Data aggregation, Residual energy