Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : Proceedings of the 2008 International Conference on Wireless Networks (ICWN’08).
Source : Proceedings of the 2008 International Conference on Wireless Networks (ICWN’08), 2008, pp. 255-261.
Campus : Amritapuri
School : School of Arts and Sciences, School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Computer Science, Mathematics
Year : 2008
Abstract : Landslides are one of the environmental disasters that cause massive destruction of human life and infrastructure. Real time monitoring of a landslide prone areas are necessary to issue fore warning. To accomplish real time monitoring, massive amount of data have to be collected and analyzed within a short span of time. This work has developed a method for effective data collection and aggregation by implementing threshold alert levels. The sampling rates of threshold alert levels will determine amount of data collected and aggregated which will reduce the power consumption by each wireless sensor nodes. This work also helps to determine the appropriate sampling rates for each threshold level, and the expected number of data packets in the queue. The time delay in receiving the data packet at the analysis station can be determined by using the value of expected number of data packets in the queue.
Cite this Research Publication : Dr. Maneesha V. Ramesh and Dr. Usha Kumari P. V., “Threshold Based Data Aggregation Algorithm to Detect Rainfall Induced Landslides”, in Proceedings of the 2008 International Conference on Wireless Networks (ICWN’08), 2008, pp. 255-261.
