Energy Aware Routing Protocol for Resource Constrained Wireless Sensor Networks

Abstract

Wireless sensor network (WSN) is a developing technology that improves the resource utilization in various fields such as home automation, e-health, smart grid, precision agriculture etc. It consists of sensor devices, which works autonomously with its sensing, communication and computation capabilities. In most of the sensor network applications the nodes will be deployed in remote areas (land slide monitoring, wildlife monitoring etc.), so replacing the battery often is impossible in many WSN scenarios. Hence energy is considered as a valuable resource in resource constrained wireless sensor networks. In this paper, we propose a new routing methodology to improve the energy efficiency in resource constrained WSN. The proposed technique uses SNR (Signal to Noise Ratio), node degree and residual energy as routing parameters, to find an energy efficient and reliable path for data transmission. The combination of the parameters used in the proposed routing technique is done based on weighted sum approach. The proposed framework has been implemented on and compared with a number of standard energy efficient protocols and our results show considerable improvement in comparison to the existing techniques.