NDLI: RIFMAS: River Flow Management System using Wireless Sensing Agents

Content Provider	IEEE Xplore Digital Library
Author	Patel, R.B. Kaushik, B.
Copyright Year	2009
Description	Author affiliation: Department of Computer Engineering, M.M. Engineering College, M. M. University, Mullana, Ambala-133 203, Haryana, India, kaushikbhanu@gmail.com (Kaushik, B.) \|\| Department of Computer Engineering, M.M. Engineering College, M. M. University, Mullana, Ambala-133 203, Haryana, India, patel_r_b@yahoo.com (Patel, R.B.)
Abstract	Floods have always been a major cause of destruction from the past itself. In the manual river flow control system there is always a situation of the increasing or decreasing of the discharge available depending on the precipitation of the catchment region. In this article, with a blend of mobile agents, wireless sensor networks (WSNs) and intelligent systems we intend to formulate a new application to manage the water flow of a river by continuously monitoring the precipitation and correspondingly changing the position of the diversion head regulators (HR) of a barrage.
Starting Page	853
Ending Page	857
File Size	3141254
Page Count	5
File Format	PDF
ISBN	9781424429271
DOI	10.1109/IADCC.2009.4809126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	HFL: Highest Flood Level EST_TIME: Estimated time taken to reach the Head regulator (HR) Q2_DISCHARGE: Calibrated discharge for canal Q2 QM_DISCHARGE: Calibrated discharge for Main Stream CL: Crest Level QM_Hopening: Head opening for Main Stream Control systems Q1_Hopening: Head opening for canal Q1 Rivers Q_DISCHARGE: Estimated Total Discharge at Main data center Floods $PPt^{n}N:$ Precipitation at center N Intelligent agent Intelligent sensors Q1_DISCHARGE: Calibrated discharge for canal Q1 PL: Pond Level Wireless sensor networks Intelligent networks Mobile agents Q2_Hopening: Head opening for canal Q2 Intelligent systems Human resource management
Content Type	Text
Resource Type	Article

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