Energy model for H2S monitoring wireless sensor network

被引:19
作者
Xiaojuan, Chao
Dargie, Waltenegus
Guan, Lin
机构
来源
CSE 2008:11TH IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, PROCEEDINGS | 2008年
关键词
D O I
10.1109/CSE.2008.33
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:402 / 409
页数:8
相关论文
共 28 条
[1]  
Adlakha S, 2003, IEEE WCNC, P1615
[2]  
[Anonymous], SENSYS 03
[3]  
[Anonymous], IEEE RADIO COMMUNICA
[4]  
Bettstetter C, 2002, IEEE VTS VEH TECHNOL, P1706, DOI 10.1109/VETECF.2002.1040507
[5]   Performance analysis,of the IEEE 802.11 distributed coordination function [J].
Bianchi, G .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2000, 18 (03) :535-547
[6]  
BOETTERN L, 2000, OXYGEN ELECTROCHEMIC
[7]  
BOUKERCHE A, 2006, PERF COMP COMM C 200, P611
[8]   Vineyard computing: Sensor networks in agricultural production [J].
Burrell, J ;
Tim, B ;
Beckwith, R .
IEEE PERVASIVE COMPUTING, 2004, 3 (01) :38-45
[9]   From wireless sensors to field mapping:: Anatomy of an application for precision agriculture [J].
Camilli, Alberto ;
Cugnasca, Carlos E. ;
Saraiva, Antonio M. ;
Hirakawa, André R. ;
Correa, Pedro L. P. .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2007, 58 (01) :25-36
[10]   Monitoring civil structures with a wireless sensor network [J].
Chintalapudi, K ;
Fu, T ;
Paek, J ;
Kothari, N ;
Rangwala, S ;
Caffrey, J ;
Govindan, R ;
Johnson, E ;
Masri, S .
IEEE INTERNET COMPUTING, 2006, 10 (02) :26-34