Effect of Landslide on Energy Efficiency Chain Based Routing Protocol for Wireless Sensor Network  

作　　者：Vu Van Khoa Shigeru Takayama Vu Van Khoa;Shigeru Takayama(Graduate School of Science and Engineering, Ritsumeikan University, Shiga, Japan)

机构地区：[1]Graduate School of Science and Engineering, Ritsumeikan University, Shiga, Japan

出　　处：《Wireless Sensor Network》2020年第2期13-36,共24页无线传感网络（英文）

摘　　要：Wireless sensor network has been used as a landslide monitoring tool for more than one decade. The robustness of the network is important as the systems need to survive in harsh conditions. In this paper, we consider the living time of the sensor network under the influences of the small-scale landslide. We investigate the performance of famous energy-efficient routing protocol PEGASIS in both landslide case and non-landslide case. Genetic Algorithm is also applied to enhance the effectiveness of PEGASIS. The simulation results in this paper showed that the Genetic Algorithm helps to delay the first node death if it is used at the beginning of data transmission while being used every round helps to prolong last node death slightly. The impact of the Genetic Algorithm on energy usage and route length is also examined.<span><span><span> </span></span></span><span><span><span>Under the effect of landslide, with only 70% of energy </span></span></span><span><span><span>are</span></span></span><span><span><span> spent, the simulated protocols reduced around 30% equivalent route length while managed to keep the living time up the network up to 90.76%, comparing to cases with no landslide.</span></span></span>Wireless sensor network has been used as a landslide monitoring tool for more than one decade. The robustness of the network is important as the systems need to survive in harsh conditions. In this paper, we consider the living time of the sensor network under the influences of the small-scale landslide. We investigate the performance of famous energy-efficient routing protocol PEGASIS in both landslide case and non-landslide case. Genetic Algorithm is also applied to enhance the effectiveness of PEGASIS. The simulation results in this paper showed that the Genetic Algorithm helps to delay the first node death if it is used at the beginning of data transmission while being used every round helps to prolong last node death slightly. The impact of the Genetic Algorithm on energy usage and route length is also examined.<span><span><span> </span></span></span><span><span><span>Under the effect of landslide, with only 70% of energy </span></span></span><span><span><span>are</span></span></span><span><span><span> spent, the simulated protocols reduced around 30% equivalent route length while managed to keep the living time up the network up to 90.76%, comparing to cases with no landslide.</span></span></span>

关 键 词：Wireless Sensor Network LANDSLIDE Routing Protocol 

分 类 号：TN9[电子电信—信息与通信工程]