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.
张凯萍, 毛建景. 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[J]. 计算机应用, 2015, 35(4): 921-924.
ZHANG Kaiping, MAO Jianjing. Interference-aware routing for wireless sensor networks based on signal power random fading model. Journal of Computer Applications, 2015, 35(4): 921-924.
FENG W, FENG S, DING Y, et al. Cross-layer adaptive fuzzy visual link-state routing protocol[J]. Journal of South China University of Technology: Natural Science, 2013, 41(9): 15-22.(冯维, 冯穗力, 丁跃华, 等. 跨层自适应模糊视觉链路状态路由协议[J]. 华南理工大学学报: 自然科学版, 2013, 41(9): 15-22.)
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2015, Vol. 35 
