Energy Efficient and Delay Aware Optimization Reverse Routing Strategy for Forecasting Link Quality in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) have a rapidly increasing number of applications due to the development of long-range low-powered wireless devices. Node decoupling for (NoRD) efficient power-supplying of nodes offers a evade network to avoid sleepy nodes (Chen and Pinkston in NoRD: Node-node decoupling for effective power-gating of on-chip nodes, in Intl, Symp, On Microarchitecture (MICRO), 2012). Though, it obtains a huge latency as well as restricted scalability. In addition, it enhances energy utilization. To defeat this problem, Energy Efficient and Delay Aware Optimization Reverse Routing Strategy (EEOS) is proposed for forecasting link quality in WSN. The main objective of this research is to design a Multi-hop Reverse Routing Technique in WSN. The reverse routing technique avoids the amount of retransmission. Forecasting link quality is used to measure the link quality by Estimating Communication Count (ECC), energy, and delay. This technique enhances routing, link stability, and energy efficiency and minimizes network congestion. It supports Quality of Service (QoS) necessities of energy control, traffic arrangement, and route allotment. In this scheme, the Signal-to-Interference and Noise Ratio (SINR) assists in measuring the quality of a wireless connection. In addition, the route link score is used to form the route from sender to receiver. The reverse routing also provides an efficient route. Simulation results prove that the EEOS minimizes both the delay and the energy utilization and increases the network throughput compared to the baseline protocol.