T2-FUCR: A Type 2 Fuzzy Unequal Cluster-Based Routing Protocol for Wireless Sensor Networks
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Internet of Things (IoT) have achieved popularity because of its intuitive nature and human beings are moving towards technology world full of automation and smart environment. Wireless Sensor Networks (WSNs) are utilized in the design of IoT for monitoring the environment, gathering the data and forwarding to the base station for further analysis. In this scenario, it is necessary to have intelligent routing to improve the Quality of Service (QoS) at the cost of optimization of energy utilization and throughput. Type 2 fuzzy systems are predominantly used in the fields of intelligent control and automation. The proposed T2-FUCR: A Type 2 Fuzzy Unequal Cluster-Based Routing Protocol for Wireless Sensor Networks employs fuzzy decision theory using Interval Type-2 fuzzy sets, to cleverly exploit the uncertainty modeled by the network to arrive at the ultimate optimal route for routing the data in WSN. T2-FUCR uses Residual energy, Node Degree, Distance to the Sink Node and Geometric Centrality as input parameter to fuzzy system and select nodes with high cluster head selection probability as cluster heads (CHs). Routing protocol chooses optimized routing minimizing the energy consumption and improves the network lifetime. From the experiments conducted, the proposed model provides better performance with respect to energy utilization, packet delivery ratio and network lifetime.
