Early Warning System for Landslide Detection Using GTBS Protocol
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Natural disasters happens for short duration so we cannot predict them easily. Landslides are one of the disaster can cause huge loss to human life and economic damage to roads and other properties. To warn the people in advance Early warning system has been developed based on wireless sensor network technology. WSN has ability to sense and measure environmental parameters and also provide real-time monitoring. However, Sensor’s energy source has limited lifetime. So, energy efficient Green Task-Based Sensing (GTBS) protocol is presented to enhance WSN lifetime. The GTBS scheme uses power adaptation and sleep and wake up techniques to achieve reliable and power saving networks. So we can prevent wasting of power in unnecessary data transmission. It detects any redundancies in the data. If redundancy is found then the communication is put to sleep mode (Stopped) for the duration. The communication starts only when new data is available (when any sensor crosses the set point). Until then the communication stops which reduces the battery power consumption and increases the network life.
Keywords
- M. M. Ahmed, S. Pothalaiah, D. Sreenivasa Rao “Real-time Monitoring of Partially Stable Slopes for Landslide Prediction by using Wireless Sensor Networks”, proceedings of 2016 Online International Conference on Green Engineering and Technologies (IC-GET), Hyderabad, India,2017
- A. Alhalafi, L. Sboui, R. Naous, and B. Shihada “gTBS: A Green Task-Based Sensing for Energy Efficient Wireless Sensor Networks”, proceedings of IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS): 2016 IEEE Infocom MiseNet Workshop, Thuwal , Saudi Arabia,2016
- S. Karthik, K. Yokesh, Y.M. Jagadeesh, R.K. Sathiendran “Smart Autonomous Self Powered Wireless Sensor Networks based Low-cost Landslide Detection System”, proceedings of International Conference on Circuit, Power and Computing Technologies [ICCPCT], 2015
- W. Zhang, Q. Guo, B. Liu “Design of Landslide Warning System”, proceedings of Third International Conference on Measuring Technology and Mechatronics Automation, Ji Lin China,2011
- Maneesha V. Ramesh “Real-time Wireless Sensor Network for Landslide Detection”, proceedings of Third International Conference on Sensor Technologies and Applications, Kollam, Kerala, India,2009
- N.P. Bhatta, N. Thangadurai, “Detection and Prediction of Calamitous Landslide in Precipitous Hills”, proceedings of International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), Bangalore, India,2016
- S. Chavan, S. Pangotra, S.Nair, V. More, V. Nair,, “Effective and Efficient Landslide Detection System to Monitor Konkan Railway Tracks”, proceedings of International Conference on Technologies for Sustainable Development, Mumbai, Maharashtra, India, Feb. 04 – 06, 2015.
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