Optimizing Routes for Improved Quality of Service in Wireless Sensor Networks through an Energy-Aware Routing Protocol for Maximizing Lifetime

• Published in: 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS) Vol. 1; pp. 1 - 5
• Main Authors: Raman, Dr Ramakrishnan, Kumar, Vikram, Pillai, Biju G., Rabadiya, Dhaval, Patre, Smruti, Meenakshi, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 18.04.2024
• Subjects: Adaptive systems; Energy efficiency; Energy-Aware Routing; Network Lifetime Optimization; Quality of service; Routing; Routing Protocol Efficiency; Routing protocols; Wireless communication; Wireless sensor networks
• DOI: 10.1109/ICKECS61492.2024.10616757

In the realm of Wireless Sensor Networks (WSNs), optimizing the Quality of Service (QoS) while ensuring the longevity of network operations remains a pivotal challenge, primarily due to the constrained energy resources of sensor nodes. This paper introduces a novel energy-aware routing protocol designed to enhance the QoS by optimizing routes within WSNs, thereby maximizing the network's operational lifetime. The proposed protocol employs a dual-focused approach, integrating energy efficiency with QoS parameters to select the most optimal routing paths. Through the deployment of a specialized routing algorithm alongside a comprehensive energy consumption model, the protocol strategically balances energy expenditure across the network, ensuring an equitable distribution of the energy load among sensor nodes. This methodology not only prolongs the operational lifespan of the network but also significantly improves the reliability and efficiency of data transmission. The efficacy of the proposed protocol is rigorously evaluated through a series of simulations, which demonstrate a marked improvement in both network lifetime and QoS, as compared to conventional routing protocols. The findings underscore the potential of integrating energy-aware considerations into routing decisions as a means to sustainably manage the critical resources of WSNs, thereby facilitating their broader application across various domains.