Congestion-aware Weighted Sum Routing for Enhanced Network Lifetime in Cognitive Radio Sensor Networks
L.V.R. Chaitanya PrasadDepartment of Electronics and Communication Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India; Research Scholar, Department of Electronics and Communication Engineering, JNTUH, Hyderabad, Telangana, India. lokamchaitanya@gmail.com0009-0006-0862-2615
Dr. Yedukondalu KamathamDepartment of Electronics and Communication Engineering, CVR College of Engineering, Hyderabad, Telangana, India. kyedukondalu@gmail.com0000-0002-9044-6553
Dr. Dhiraj SunehraDepartment of Electronics and Communication Engineering, JNTUH University College of Engineering, Rajanna Sircilla, Telangana, India. dhirajsunehra@yahoo.co.in0000-0002-3696-8860
Keywords: Cognitive Wireless Sensor Network, Energy Efficiency, Congestion, Network Lifetime, Weighted Sum Approach.
Abstract
Conventional Energy-Efficient routing in Cognitive Radio Sensor Networks (CRSNs) often compromises network lifespan. This research proposes a congestion-aware routing scheme that improves both energy efficiency and longevity. Unlike existing protocols, our approach uses a weighted sum of five parameters: distance, energy load, link quality, data flow rate, and neighbor density to guide packets along less congested, energy-efficient paths. The reduced Energy Consumption by 5.67 J, lowering End-to-End delay by 0.05-0.35 ms, decreased network overhead by 0.25-0.65% are attained and this will result in extending the operational Network Lifetime as demonstrated by Network Simulator 2 simulations.