PROLONGING THE LIFETIME OF WIRELESS SENSOR NETWORKS THROUGH HYBRID CLUSTERING AND ROUTING

Electronics and Communication Engineering

These days Wireless Sensor Networks (WSN) have been used in various Internet of Things (IoT) applications viz., healthcare monitoring, disaster management, smart buildings, smart farming etc. it is one of the substitutes for solving distinct problems of IoT in various areas. Power efficiency is one of the major issues with sensor networks. In the earlier days, WSN was working on Client Server (CS) model, but for the improvement of energy efficiency, researchers proposed Mobile Agent (MA) based WSN. These sensor nodes are generally arranged in a diverse space like in war space where human are hard to reach. WSN generate large amount of data in form of bits or stream. These nodes contact over a precise range of nodes which are frame in an Ad-hoc structure and get the data to the sink. WSN have many limited resources like limited energy, memory, computation power, communication capacity etc. So the dissertation consists of a hybrid Cluster Routing algorithm for improving the network lifetime. This dissertation presents a hybrid clustering and routing algorithm. We develop a simulation area for node movement and communication. A hybrid clustering and routing protocol present for reliable and efficient data collection in large-scale wireless sensor network. Theoretical analysis and simulation results will prove the connectivity and efficiency of the network topology generated. Simulation results show that the present hybrid clustering and routing algorithm gives better result in terms of node life time, node dead time, throughput, energy, mobile agent than previous results.

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