DocumentCode
2294203
Title
Energy Model for H2S Monitoring Wireless Sensor Network
Author
Xiaojuan Chao ; Dargie, Waltenegus ; Guan Lin
fYear
2008
fDate
16-18 July 2008
Firstpage
402
Lastpage
409
Abstract
Several applications have been proposed for wireless sensor networks. These include habitat monitoring, structural health monitoring, pipeline (gas, water, and oil) monitoring, precision agriculture, active volcano monitoring, and many more. To demonstrate the feasibility of the proposals, researchers have developed prototypes and deployed them into real-world environments. Even though each prototype was developed for a specific sensing task, interestingly most of the networks share several characteristics in common. Some of these are: the need for time synchronisation, high sampling rate of short duration, multi-hop routing, periodical sampling and sleeping, and medium access control. Whereas there are a plethora of existing and proposed protocols to address these issues, each prototype chooses to address the issues in a proprietary manner. The lack of reuse practice poses a generalisation problem. In this paper we motivate toxic gas detection during oil exploration and refinery and demonstrate how existing or proposed protocols can be employed to establish a fully functional network. Moreover, we provide a comprehensive energy model to evaluate the feasibility of employing wireless sensor network for the monitoring task.
Keywords
alarm systems; wireless sensor networks; active volcano monitoring; energy model; habitat monitoring; medium access control; monitoring task; multihop routing; oil exploration; periodical sampling; pipeline monitoring; precision agriculture; refinery; sensing task; structural health monitoring; toxic gas detection; wireless sensor network; Agriculture; Monitoring; Petroleum; Pipelines; Proposals; Prototypes; Routing; Sampling methods; Volcanoes; Wireless sensor networks; Energy Model; Gas Monitoring Application; Wireless Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Engineering, 2008. CSE '08. 11th IEEE International Conference on
Conference_Location
Sao Paulo
Print_ISBN
978-0-7695-3193-9
Type
conf
DOI
10.1109/CSE.2008.33
Filename
4578259
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