Self-Healing and Energy-Efficient Cluster based Routing for Sustainable Wireless Sensor Networks

GAYATHRI M^*Vanapalli Veera Snigdha

• Amrita Vishwa Vidyapeetham, Chennai, India

Wireless Sensor Networks (WSNs) are extensively employed in various applications like environmental monitoring, healthcare, and industrial automation. Their performance is, however, severely affected by energy limitations and unreliable data communication because of low battery capacity and dynamic network scenarios. Optimal Cluster Head (CH) selection is one of the major challenges in WSNs, and it is a critical factor in network lifetime and energy efficiency. The proposed work introduces a clustering mechanism-SHEER for (CH) selection by considering various parameters like energy remaining, distance to the sink and Trust metric. In contrast to traditional approaches, proposed method not only maximizes CH selection but also enhances Cluster Member (CM) distribution for balanced energy consumption. Moreover, a self-healing mechanism is integrated to preserve network stability by dynamically redistributing CHs and CMs in the event of node failure. This increases network flexibility, minimizes energy loss, and extends network lifetime. To confirm proposed strategy, a largescale simulation is performed in Cooja software from 100-500 sensor nodes. The outcome showed that the proposed SHEER-self-healing and energy efficient cluster-based routing technique enhances WSN performance with a 98% PDR, 2% PLR, and less energy consumption and maintains a stable clusters. These results show that clustering optimization technique significantly improves energy efficiency, network lifetime, and data transmission reliability ensuring a high packet delivery ratio.