An Energy-Efficient Framework Based on Random Waypoint Mobility Model in WSN-Assisted IoT

In this paper, we propose a hierarchical framework for mobile ad hoc IoT applications such as animal monitoring system, which supports the scalable network and uniform energy consumptions across all the nodes to prolong the network lifetime. The proposed framework uses the clustering algorithm to divide the network into equal zones. Each node belongs to some particular zone. Nodes are mobile (based on Random Waypoint Model) and able to move from one zone to another zone in the entire network. Some nodes select as zone head, zone coordinator, and relay node. Node forwards the data packets to the base station via a nearest relay node. Relay node forwards the packets to the zone head, and zone head transmits these packets to base stations via upper layer zone coordinator. The comparison has been made of the proposed framework with static model, LEACH and EESAA routing protocols. It identified that the proposed technique performs well in terms of energy consumption and network lifetime.