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.

众所周知，机会路由中的自适应排序可以大大提高无线网络中使用自愿节点实现能源效率的传统机会路由协议的性能。无线传感器网络（WSN）主要通过相邻节点转发数据包，通常可以将其转入睡眠模式（不使用时）以提高网络寿命。节点的睡眠状态是不可行的机制，因为节点连续处于唤醒状态并且能够监听其他广播。本文提出了一种最新研究的改进机制，用于确定簇头（CH）和参与路由的节点集。节点排名产生了改进的路由表，用于选择节点以将数据包转发到网关。通过一致的性能建模和网络仿真，