Abstract
This paper proposes a new WSN-based Landslide Prediction Algorithm, developed using Fuzzy Logic Inference System. Three factors conditioning landslides are considered, namely: slope angle, soil moisture and topographical elevation. These conditioning factors are sensed using WSN and analysed using proposed algorithm at sink node. A Mamdani-type Fuzzy Inference System (FIS) is used to develop the algorithm. Triangular membership functions are considered for all FIS parameters. A total of 45 rules have been developed in this FIS, which holds capability to generate a three-level alarm to warn residents of area about any impeding danger due to landslide. For results, surface plots are generated which show us the variation of landslide susceptibility with the change in three parameters considered.
This is a preview of subscription content, log in via an institution to check access.
References
Heinzelman, W.B., Chandrakasan, A.P. and Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on wireless communications 1(4), pp. 660–670 (2002)
Wang, J., Ghosh, R.K. and Das, S.K.: A survey on sensor localization. Journal of Control Theory and Applications 8(1), pp. 2–11 (2010)
Ercanoglu, M. and Gokceoglu, C.: Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach. Environmental geology 41(6), pp. 720–730 (2002)
Juang, C.H., Lee, D.H. and Sheu, C.: Mapping slope failure potential using fuzzy sets. Journal of geotechnical engineering 118(3), pp. 475–494 (1992)
Akgun, A., Sezer, E.A., Nefeslioglu, H.A., Gokceoglu, C. and Pradhan, B.: An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm. Computers & Geosciences 38(1), pp. 23–34 (2012)
Rosi, A., Peternel, T., Jemec-Aufli, M., Komac, M., Segoni, S. and Casagli, N.: Rainfall thresholds for rainfall-induced landslides in Slovenia. Landslides 13(6), pp. 1571–1577 (2016)
De Luca, D.L. and Versace, P.: A comprehensive framework for empirical modeling of landslides induced by rainfall: the Generalized FLaIR Model (GFM). Landslides, pp. 1–22 (2016)
Hung, L.Q., Van, N.T.H., Van Son, P., Khanh, N.H. and Binh, L.T.: Landslide susceptibility mapping by combining the analytical hierarchy process and weighted linear combination methods: a case study in the upper Lo River catchment (Vietnam). Landslides, pp. 1–17 (2016)
Rosi, A., Mamei, M., Zambonelli, F. and Manzalini, A.: Landslide monitoring with sensor networks: a case for autonomic communication services. In International conference on wireless technology for rural and emergency scenarios, IEEE CS, Roma (2007)
Terzis, A., Anandarajah, A., Moore, K. and Wang, I.: Slip surface localization in wireless sensor networks for landslide prediction. In Proceedings of the 5th international conference on Information processing in sensor networks (pp. 109–116). ACM (2006)
Sheth, A., Thekkath, C.A., Mehta, P., Tejaswi, K., Parekh, C., Singh, T.N. and Desai, U.B.: Senslide: a distributed landslide prediction system. ACM SIGOPS Operating Systems Review, 41(2), pp. 75–87 (2007)
Lu, P., Wu, H., Qiao, G., Li, W., Scaioni, M., Feng, T., Liu, S., Chen, W., Li, N., Liu, C. and Tong, X.: Model test study on monitoring dynamic process of slope failure through spatial sensor network. Environmental Earth Sciences 74(4), pp. 3315–3332 (2015)
Rosso, R., Rulli, M.C. and Vannucchi, G.: A physically based model for the hydrologic control on shallow landsliding. Water Resources Research 42(6), (2006)
Garich, E.A.: Wireless, automated monitoring for potential landslide hazards (Doctoral dissertation, Texas A&M University) (2007)
Grima, M.A.: Neuro-fuzzy modeling in engineering geology. AA Balkema, Rotterdam, 244 (2000)
Data Source : Field Visits & Google Earth Image(c) 2016 INEGI, Imagery Date 2002–2016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Singh, P., Kumar, A., Sharma, G. (2018). A WSN-Based Landslide Prediction Model Using Fuzzy Logic Inference System. In: Somani, A., Srivastava, S., Mundra, A., Rawat, S. (eds) Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-5828-8_57
Download citation
DOI: https://doi.org/10.1007/978-981-10-5828-8_57
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5827-1
Online ISBN: 978-981-10-5828-8
eBook Packages: EngineeringEngineering (R0)