摘要
传感器节点的能量有限性与无线链路的不稳定性,使得无线传感器网络中的路由设计成为一个具有挑战性的问题.机会路由利用无线链路的广播特性,可容许多个候选节点机会地参与数据包转发,从而提高网络吞吐量.通过马尔科夫链来建模机会路由,得到了影响候选节点选择的两个关键路由度量:ExNT与EEC.结合功率控制技术,研究发射功率对这两种路由度量的影响,设计相应的候选节点选择算法,进一步给出基于功率控制的机会路由协议(PCOR)的具体执行过程,并在网络模拟平台NS2中仿真实现.通过与其它几种典型机会路由协议的对比分析,验证了该协议在提升整体网络性能的同时,可以有效降低网络的总能耗.
The design of routing protocols is a challenging problem due to the limited energy of sensor nodes and unreliability of wireless links in wireless sensor networks.Based on the broadcast nature of wireless transmissions,multiple candidate nodes cooperatively participate in the packet forwarding process in opportunistic routing,which can increase the network throughput effectively.Two crucial routing metrics：ExNT and EEC,which have a great impact on candidate selection,are modeled by the Markov chain approach.Combined with power control,the effects of transmitting power on these routing metrics are studied,and the corresponding candidate selection algorithm is designed.Furthermore,an opportunistic routing based on power control（PCOR）is described in detail and implemented in NS2.Compared with several existing opportunistic routing protocols,the experimental results indicate that the proposed PCOR not only improves the network performance,but also reduces the total energy consumption.
出处
《陕西科技大学学报（自然科学版）》
2016年第6期176-182,共7页
Journal of Shaanxi University of Science & Technology
基金
国家自然科学基金项目(61374059
U1334210)
关键词
无线传感器网络
机会路由
马尔科夫链
功率控制
wireless sensor networks
opportunistic routing
Markov chain
power control
