基于中断概率的多跳混合协作地理路由算法

为了减小无线传感器网络中路由的路径长度，该文提出基于中断概率的多跳混合协作地理路由(MHCGR)算法。首先对不同协作机制的链路进行分析，理论分析表明，在一定中断概率要求下，采用译码放大转发混合协作机制可以进一步扩大传输距离，并推导了每跳协作链路的理想最大协作传输距离和理想中继的位置。在无信标地理路由(BLGR)算法的基础上，MHCGR算法结合节点位置信息为每跳选择最佳的中继节点和转发节点，建立从源节点到目的节点的多跳协作路由。仿真表明，与ENBGCR算法和基于DF协作机制的MPCR算法两种协作地理路由算法相比，MHCGR算法可明显减少路由的跳数，改善路由的整体发射功率。

Multi-hop Hybrid Cooperative Geographic Routing Algorithm with Outage-probability-constrained

A Multi-hop Hybrid Cooperative Geographic Routing (MHCGR) algorithm with outage-probability- constrained is proposed to reduce the path length for routing in wireless sensor networks. The cooperative links using different cooperative strategies are analyzed. With theoretical analysis, the decode-amplify-and-forward hybrid cooperative strategy can further expand the transmission distance. The ideal maximum cooperative transmission distance and the location of ideal relay node are proved for per-hop cooperative transmission link. Based on the BeaconLess Geographic Routing (BLGR) algorithm, the MHCGR algorithm uses the location information of nodes to select the optimum relay node and optimum forward node for each hop. Then MHCGR algorithm forms the cooperative route from the source node to destination node by mentioned cooperative strategy. Simulation results show that, compared with the ENBGCR algorithm and the MPCR algorithm using DF strategy, the MHCGR algorithm can reduce the number of routing hop, and reduce the overall transmission power routing.