Classification-Based Clustering Approach with Localized Sensor Nodes in Heterogeneous WSN (CCL)

In wireless sensor network, random and dense deployment of sensor nodes results in difficulties for sink node to detect the location of them without GPS. The inclusion of GPS for all sensor nodes increases the deployment cost. Energy is another constraint in wireless sensor network during data forwarding. In this paper, the proposed protocol CCL has applied the modified version of DV-hop technique to detect the location of sensor nodes without using GPS. Here, event-based clustering is designed to save the energy of nodes, which is classified using support vector machine. Packet is forwarded to the sink node by greedy forwarding technique. Packet loss is also removed by involving an antivoid approach called twin rolling ball technique. Simulation results show that the performance of CCL is enhanced with compared to LEACH, HEED, EEHC, DV-hop, and advanced DV-hop.