ARIOR: Adaptive Ranking Based Improved Opportunistic Routing in Wireless Sensor Networks

Abstract

Adaptive ranking in opportunistic routings is known to significantly improve the performance over traditional opportunistic routing protocols in wireless networks using a volunteer node for energy efficiency. Wireless Sensor Networks (WSNs) mainly forward packets through neighbor nodes, which usually may go to sleep mode (when not in use) to improve the lifetime of the network. The sleep state of nodes is an infeasible mechanism because the nodes are awake continuously and are able to overhear other broadcasts. This paper presents a recently researched improved mechanism to determine the Cluster Head(CH) and set of nodes participating in routing. Node ranking resulted in the improved routing table for node selection to forward the packets towards the gateway was generated. By consistent performance modeling and network simulations, ARIOR algorithm exhibits improvements in terms of Message Success Rate(MSR), Packet Delivery Ratio(PDR) and Energy Consumption(CE) in comparison to existing Opportunistic Routing(OR) protocols.