POM‐MWSN: A Novel Path Optimization Mechanism in MWSN for QoS

ABSTRACT Wireless sensor networks (WSN) have been pivotal in the evolution of communication networks. Most of the existing models have concentrated on WSN data transmission; however, these models were challenged with issues such as node failure, data loss, and low energy efficiency. Additionally, the existing routing protocols had difficulties in reducing energy consumption to a minimum while maintaining the quality of service (QoS). Hence, to address these problems, the authors present a new path optimization method for mobile WSN that increases energy efficiency, reliability, and data delivery. The proposed framework, first of all, aims at the routing efficiency and scalability of the cross‐layer technique based clustering routing protocol (CLT‐CRP). Second, the node failure recovery mechanisms (NFRM) intend to recognize and recover the situations of the failed nodes during the power‐cut episodes. And third, the path optimization module (POM) that is based on the energy of the node, connectivity, and mobility speed dynamically changes the path for selecting the data. By combining these components, the network takes fewer risks for data loss and latency, and it also keeps a stable communication path when the network topologies change. The NS2‐based simulation outcomes indicate that the POM‐MWSN can reach substantial performance upgrades, such as higher throughput reaching 75,088 bytes for 1000 nodes, the delay reduction up to 0.009 ms, and the packet delivery ratio increase up to 397% as compared to the performances of the traditional models like LEACH, CRPD, CLT‐CRP, and NFRM. This system framework can be applied in various fields such as smart agriculture, environmental monitoring.