DocumentCode :
2961091
Title :
Field testing a wireless sensor network for reactive environmental monitoring [soil moisture measurement]
Author :
Cardell-Oliver, Rachel ; Smettem, Keith ; Kranz, Mark ; Mayer, Kevin
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Western Australia Univ., Nedlands, WA, Australia
fYear :
2004
fDate :
14-17 Dec. 2004
Firstpage :
7
Lastpage :
12
Abstract :
Wireless sensor network technology promises to reveal fine-grained, dynamic changes in monitored variables of an outdoor landscape. But there are significant problems to be overcome in translating this vision to working systems. This paper describes the design and implementation of a reactive, event driven network for environmental monitoring of soil moisture and evaluates the effectiveness of this solution. A novel feature of our solution is its reactivity to the environment: when rain falls and soil moisture is changing rapidly, measurements are collected frequently, whereas during dry periods, between rainfall events, measurements are collected much less often. Reactivity allows us to focus on dynamic responses and limit the amount of useless data gathered, as well as improving robustness and network lifetime. The main contribution of the paper is to demonstrate that a reactive sensor network can deliver useful data on soil moisture responses to rainfall. Field trial results on the reactivity, robustness and longevity of the network are evaluated, and future improvements proposed.
Keywords :
environmental factors; moisture measurement; rain; soil; wireless sensor networks; environmental monitoring; event driven network; network lifetime; network reactivity; network robustness; rainfall soil moisture response; soil moisture measurement; useless data limitation; wireless sensor network; Computerized monitoring; Machine vision; Moisture measurement; Rain; Remote monitoring; Robustness; Soil measurements; Soil moisture; Testing; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004
Print_ISBN :
0-7803-8894-1
Type :
conf
DOI :
10.1109/ISSNIP.2004.1417429
Filename :
1417429
Link To Document :
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