A predictive energy‐efficient adaptive routing methodology for Mobile Ad hoc Networks

Abstract A Mobile Ad hoc Network (MANET) is a self‐configuring, infrastructure‐less network of mobile devices connected wirelessly. In this paper, a novel approach, the Predictive Energy‐efficient Adaptive Routing Technique (PEAR) approaches to the infrastructure‐less network of mobile devices, addressing the intrinsic challenges of MANETs. PEAR is a network management system that uses real‐time predictive analytics to forecast and adapt to topological changes due to node mobility, ensuring robust and proactive route management. It incorporates energy‐aware routing decisions, conserving battery life and extending operational longevity, and uses a multi‐factor routing algorithm. PEAR ensures loop‐free routing to minimize latency and maintain scalability, making it adept at handling the growing complexity of MANET applications. PEAR outperformed Mobile Ad hoc On‐demand Routing, showing throughput improvements of 2.5% at 5 m/s and 3.125% at 30 m/s, routing overhead reductions of 66.67% at 5 m/s and 50% at 30 m/s, energy consumption decreases by 66.67% at 5 m/s and 55.56% at 30 m/s, and a significant reduction in average delay by 66.67% at 5 m/s and 55.56% at 30 m/s, proving its superior efficiency and reliability in mobile networks.