Optimum sensing technique and approach for low power consumption network
- Authors
- Jabbar, H.; Kim, T.; Kang, J.-S.; Lee, J.; Yang, H.; Sung, M.; Park, G.; Jeong, T.
- Issue Date
- 2007
- Citation
- Proceedings - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications, pp.260 - 263
- Journal Title
- Proceedings - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications
- Start Page
- 260
- End Page
- 263
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/24248
- DOI
- 10.1109/SERA.2007.103
- ISSN
- 0000-0000
- Abstract
- This paper presents a technique to integrate energy efficient ubiquitous sensors to work in a network for optimum control. This optimization technique can reduce power consumption by using wireless communicating sensors with a supervisor control. This supervisory control of the sensors gives it an advantage of being controllable from any embedded, desktop or Internet platform. Sensors for different purposes can work together to form a network which can be implemented in many environment like homes, city, hospitals and remote locations like mountains, forests etc. We employed an optimized sensing system and algorithm which reduced the number of sensors and power consumption. © 2007 IEEE.
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- Appears in
Collections - College of Engineering > Computer Engineering > Journal Articles
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