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Abstract

Now a daysthese wireless communication area is most preferable in many sensing applications likeflexibility, suitable, andcost-effectiveness. Modern sensors are used for various purposes to sense the factors present in the environmental and send them wirelessly. To collect data from individual sensors, these data which is collected by the collection centers which is preferable to collect the data from the clustered information from a group of sensors. When we use good and efficient clustering algorithms, sothat for the utilizations like speedy communication, good connectivity, and effective data gathering by all these we can ensurethem in network. Previously, for environmental monitoring fields we have a effective and simple algorithm is proposed for clustering is called energy efficient structured clustering algorithm (EESCA) is proposed. We select cluster heads (CH) on the basis of selectedontheir average communication distance and remaining energy. After grouping the collected data, the selected CH node willtransfer to the SINK after collecting the data, which will consume the energy task. Already this CHnodes have a burdenedprocess of grouping of the data. This energy consumption will (to transfer the data to sink) increases by the number of CH rotation, and which is cost effective. Here we introduce the Mobile Agents (MA), propose a Mobile agent based energy-efficient structured clustering algorithm (MAEESCA), whose partbe to collect information from the CHs and deliver (send) to SINK. By this, energy utilizationbedecreasedalong with CHs resulting to reduced CH rotation.We compare the results with some well-knownpresented algorithms scalable energy efficient clustering hierarchy (SEECH) as well asenergyefficient structured clustering algorithm(EESCA) by this we can proveproposed technique be more efficient for WSNs.

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