Abstract: Dynamic clustering technique is adapted with the sensor network for organizing the sensor nodes in an effective manner to form network and it spends less energy expenditure for data transmission. Effective communication is achieved by applying maximum distance method to form cluster between nodes in a wireless sensor network. This approach is essential for the workload balance among the nodes, updating new nodes in the network, increasing the network lifetime and effective resource utilization in wireless sensor network. Dynamic clustering technique is suitable for streaming of data, scalable to large size networks, partitions the sensor nodes in to reasonable sets faster and significantly speeds up the communication among nodes compared to the K-Means cluster algorithm. Simulation results show that the performance of dynamic clustering technique provides higher throughput and energy consumption.
Keywords: Cluster Head, Energy Expenditure, Scalability, Aggregation, Resource Utilization.