EAHCP: ENERGY AWARE HYBRID CLUSTERING PROTOCOL FOR MOBILE IOT NETWORKS

With the rise in availability of smart devices, IoT applications have shown massive increase with time. This contributes to increase in energy consumption and carbon footprints. The work proposes an Energy Aware Hybrid Clustering Protocol (EAHCP) to overcome the challenges of energy aware IoT networks where sensor-based nodes can be mobile in nature. A novel energy aware clustering protocol based on boundary detection and probability-based clustering technique is introduced for green IoT networks. The aim of EAHCP is to increase the network lifetime by reducing energy usage of individual IoT nodes. EAHCP selects the Cluster Heads strategically due to which the results of EAHCP outperforms clustering algorithms like ETM-IoT, DEEC etc. concerning network's stability, network lifetime, residual energy, and number of packets sent to Base Station. The protocol works in two main phases:In the first phase, convex hull algorithm is applied to create boundary around nodes to determine nodes that are farther from base station.In order to further make the protocol energy efficient, the second phase introduces novel clustering algorithm.Using proposed strategy, mobile nodes are diverted back towards the BS, which is suitable for applications like patient monitoring, vehicle tracking, animal tracking etc.