DocumentCode :
2235144
Title :
An Evaluation on Sensor Network Technologies for AMI Associated Mudslide Warning System
Author :
Tang, Cheng-Jen ; Dai, Miau-Ru
Author_Institution :
Grad. Inst. of Commun. Eng., Tatung Univ., Taipei, Taiwan
fYear :
2010
fDate :
17-19 Nov. 2010
Firstpage :
237
Lastpage :
242
Abstract :
In order to detect occurrences of mudslides, a mudslide warning system has to address three major issues: sensor sensitivity, coverage area, and deployment cost. With the emergence of AMI, which is considered as the fundamental step towards Smart Grid, a mudslide warning system is able to utilize AMI communication network to provide a broad coverage at a relatively low deployment cost. However, realization of the sensor networks for this AMI associated mudslide warning system needs to satisfy many constraints. In addition to the design factors identified by previous studies, such as fault tolerance, scalability, cost, hardware, topology change, environment, and power consumption, AMI brings limitations that come along with the electricity grid infrastructure. This paper studies the state of the art of current communication technologies in sensor networks, and identifies which of them meet the requirements of AMI associated mudslide warning system.
Keywords :
fault tolerance; geophysical techniques; AMI associated mudslide warning system; AMI communication network; Smart Grid; broad coverage; communication technology; coverage area; deployment cost; electricity grid infrastructure; environment; fault tolerance; hardware; power consumption; scalability; sensor network technology; sensor sensitivity; topology change; Advanced Metering Infrastructure; Disaster Prevention System; Meter Data Management System; Mudslide Detection; Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Computing (ICNC), 2010 First International Conference on
Conference_Location :
Higashi-Hiroshima
Print_ISBN :
978-1-4244-8918-3
Electronic_ISBN :
978-0-7695-4277-5
Type :
conf
DOI :
10.1109/IC-NC.2010.10
Filename :
5695241
Link To Document :
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