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Sheth, A., Thekkath, C.A., Mehta, P., Tejaswi, K., Parekh, C., Singh, T.N. and Desai, U.B. (2007) Senslide: A Distributed Landslide Prediction System. ACM SIGOPS Operating Systems Review, 41, 75-87.
https://doi.org/10.1145/1243418.1243428

has been cited by the following article:

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

  AUTHORS: Vu Van Khoa, Shigeru Takayama

  KEYWORDS: Wireless Sensor Network, Landslide, Routing Protocol

  JOURNAL NAME: Wireless Sensor Network, Vol.12 No.2, February 29, 2020

  ABSTRACT: 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. Under the effect of landslide, with only 70% of energy are 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.