Abstract

Developing cutting-edge technologies has enhanced confidence in planning significant wireless networks of low-power devices. When designing and deploying wireless sensor networks (WSNs), energy consumption and fault tolerance are the two most important considerations—not keeping up with technical advancements. To demonstrate both energy-efficient clustering and cluster heads’ (CHs’) fault-tolerant operation, we proposed Adaptive Grey Wolf Optimized Ant Colony Optimization (AGWO-ACO) to obtain efficient energy consumption and find the shortest path in WSNs,. The suggested technique integrates AGWO with ACO to obtain the best value of the ? factor for ACO using GWO. The fuzzy inference process used by the grouping approach dynamically generates CHs while accounting for various node characteristics and network conditions. We used a cluster-based fault-tolerant routing protocol (CFTR) that allows high-energy nodes to perform as CHs and execute multiple rounds of operations, hence minimizing the requirement for periodic re-clustering. The reliability of the WSN is improved by a fault tolerance mechanism that reduces communication failures and assures reliable data flow throughout the network. The suggested clustering technique aims to cluster the sensor nodes, lowering energy consumption during data transmission and facilitating effective failure detection and recovery. The proposed technique integrates AGWO with ACO to obtain the best value of the ? factor for ACO using GWO with a novel clustering approach. We demonstrated that 3312 packets were forwarded, and the best route remained 1, demonstrating constant optimization. These findings show that the suggested AGWO-ACO method outperforms contrasted to other traditional methods, making it convenient for crucial and resource-constrained WSN scenarios.

Authors

Maruthi Hanumanthappa Chandrappa¹, Poornima Govindaswamy²
Government Engineering College, Kushalnagar, India¹, BMS College of Engineering, India²

Keywords

Adaptive Grey Wolf Optimized Ant Colony Optimization (AGWO-ACO) Cluster Head, Fault-Tolerant, Fuzzy Inference Mechanism and Routing Protocol, Wireless Sensor Networks (WSNs)