基于信号功率随机衰落模型的无线传感器网络干扰感知路由

为了降低无线传感器网络信号功率的衰减以及节点干扰对数据传输效率所造成的影响,提出了一种基于信号功率随机衰落模型的无线传感器网络干扰感知路由。首先,根据概率论提出了干扰节点不同分布情况下成功传输数据的两种概率干扰模型,并将节点的干扰、路由收敛及节点剩余能量问题作为路由度量建立了干扰感知路由;然后,通过将干扰、路由收敛,以及节点剩余能量作为评估权值,来共同决定最佳的下一跳节点。通过NS2的仿真数据表明,与基于差异化服务的干扰感知路由算法和基于编码的干扰感知路由协议相比,所提出的算法在数据投递平均成功率、能量消耗及平均延迟时间上均有一定优势。

Interference-aware routing for wireless sensor networks based on signal power random fading model

To reduce the effect caused by Wireless Sensor Network (WSN) node signal power attenuation and node interference on transmission efficiency, an interference-aware routing based on random signal power fading model was proposed for WSN. First, according to probability theory, two probabilistic interference models for successfully transmitting data under different distribution of interfering nodes were put forward; interference, node routing convergence and residual energy issues were used as a measure to establish a interference-aware route. Then, interference, route convergence and residual energy were regarded as assessment weights to determine the best next-hop node. NS2 simulation data shows that compared with interference-aware routing algorithms based on differentiated services and coding, the proposed algorithm has better performance in packet delivery success rate, energy consumption and average delay time.