August 2021, Vol. 6, No. 8, pp. 134-140.
Energy and load balancing scheme based path tracing for WSN networks
U. Mohideen Abdul Kader*, S. Sumithra
Department of Electronics and Communication Engineering, JJ College of Engineering and Technology, Trichy. Tamilnadu, India.
*Corresponding author’s e-mail:firstname.lastname@example.org
Wireless sensor networks (WSN) groups specialized transducers that provide sensing services to Internet of Things (IoT) devices with limited energy and storage resources. Since replacement or recharging of batteries in sensor nodes is nearly impossible, power consumption becomes one among the crucial design issues in WSN. Most sensor networks employ dynamic routing protocols in order that the routing topology are often dynamically optimized with environmental changes. The routing behaviours are often quite complex with increasing network scale and environmental dynamics. Knowledge on the routing path of each packet is certainly a great help in understanding the complex routing behaviours, allowing effective performance diagnosis and efficient network management. We propose PAT, a universal SensorNet path tracing approach. PAT includes an intelligent path encoding scheme that allows efficient decoding at the base station side. To make PAT more scalable, we propose techniques to accurately estimate the degree information by exploiting timing information, allowing more compact path encoding. Moreover, we employ subpath concatenation to infer excessively long paths with a high recovery probability. We propose an analytical model to quantify the advantages of PAT with varying network scale, network density, routing dynamics and packet delivery performance. Simulation analysis shows the modified version performs better than the existing protocol by enhancing the throughput, end-to-end delay, and residual energy.
Keywords: Wireless sensor networks; Internet of things; Recharging of batteries; SensorNet.