A New IoT Power-Limited Wireless Sensor Networks Routing Protocol Utilizing Computational Intelligence

Abstract

Finding a cogent network architecture with efficient energy usage is essential given the rise of the Internet of Things (IoT), which poses a new barrier to the widespread use of IoT applications globally. This research investigates the suggested protocol in a novel simulation environment by dividing the network area into equal hexagonal cells and using the arithmetic optimization algorithm, a new meta-heuristic technique, to assist the cluster head assortment. The double mobile sinks are then deployed to travel along two constrained hexagonal itineraries in order to gather sensory data. Additionally, a cost-effective routing approach is suggested to prolong the lifespan of IoT sensor nodes. In the end, a comparison between the suggested protocol and the conventional techniques reveals a significant decrease in the average energy consumption of sensor nodes, hence extending the lifetime of the network. Particularly, as far as the mobility is concerned, the suggested protocol performs 372 times better than the energy-efficient geographic routing protocol and 669 times better than the rendezvous-based routing protocol in terms of the first node to die.