ECMR: Energy Constrained Mobile Routing for Wireless Sensor Networks

Mobile wireless sensor network (MWSN) has eventual applications in various areas such as health care monitoring, flood and fire detection, wildlife monitoring etc. MWSNs have fascinated much attentiveness from patrons in recent years due to their applications in various fields. MWSNs are resource restraints and demand performance investigation by numerous node mobility patterns. Generally, in MWSN, the routing algorithms have been investigated for predefined mobility. But for real-time applications, it is essential to develop an effective routing algorithm and study the effects of various mobility patterns on routing strategies to give effective outcomes. Therefore, keeping in view of the above issue, we proposed an Energy Constrained Mobile Routing (ECMR) in this paper. Simulations have been performed in MATLAB on diverse parameters to check the efficiency of ECMR and other existing routing protocols. Simulation results show that ECMR gives better performance than the Position-Based Routing (PBR) protocol, which comprises Mobility Aware Routing (MAR) and Geographic Robust Clustering (GRC). ECMR has also shown better performance than Non-Position Based Routing (N-PBR) protocols comprising Distributed Efficient Clustering Approach (DECA) and Distributed Efficient Multi-hop Clustering (DEMC). ECMR reduces the percentage of packet loss 10–12%, increases packet delivery ratio 11–13%, minimizes average end-to-end delay 13–15%, enhances throughput 12–14%, reduces overhead 11–12%, minimizes energy consumption 16–18%, and prolongs network lifetime 15–17% on the mobility of sensor nodes. ECMR performs better with Random Waypoint Mobility (RWPM) model than Pathway mobility (PM) and Random Walk Mobility (RWM) model.