An Energy Efficient Cluster Based Shortest Path Technique Using Data Transmission In Wireless Sensor Networks

Abstract

Energy Efficient Data Transmission paramount in the deployment of multiple sensor nodes in WSN where prolonged network lifetime and sustainability are critical objectives. This research explores energy efficiency strategies within sensor networks through a comprehensive analysis of existing challenges and the development of innovative solutions. The proposed Cluster based Shortest Path algorithms, such as CBSP, to dynamically organize sensor nodes, minimizing energy consumption through periodic cluster head rotations. Additionally, energy-aware routing protocols and adaptive algorithms are integrated to optimize data transmission and reduce energy overhead. The research emphasizes adaptability to dynamic environmental conditions, ensuring resilience and longevity in the face of varying network demands. Through simulation and practical implementation, the effectiveness of the proposed CBSP Achieves more Effective process of Cluster head elected by a probability based on distance and energy of each node. Finally, the result of CBSP achieves less energy and more effective message by data transmission.