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Local adaptive sampling for wireless sensor network powered by energy harvesting
Institute of Lightwave Technology, Beijing Jiaotong University, Beijing 100044, China.
Institute of Lightwave Technology, Beijing Jiaotong University, Beijing 100044, China.
Institute of Lightwave Technology, Beijing Jiaotong University, Beijing 100044, China.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
2012 (English)In: Optik (Stuttgart), ISSN 0030-4026, Vol. 123, no 23, 2195-2197 p.Article in journal (Refereed) Published
Abstract [en]

For a sensor network, energy limitation is always a key factor to affect the continuous work of a sensor node. A good idea is harvesting energy from the environment to support the node to work continuously. However, energy from environment is varied with time, weather and season. So in order to use the varied environment energy, it is necessary to find a way to achieve real-time monitoring and adaptive working. In this paper, an algorithm called "Adaptive Sampling" was proposed to adapt the sample mode to the present energy condition. Simulation proves that the algorithm can make the CO2 sensor flexibly achieve adaptive sampling under different energy condition with the least MSE 2.7767. This algorithm can be widely used in wireless sensor network power by energy harvesting for local adaptive sampling. © 2011 Elsevier GmbH. All rights reserved.

Place, publisher, year, edition, pages
2012. Vol. 123, no 23, 2195-2197 p.
Keyword [en]
Adaptive sampling, Energy monitoring, Power management, Wireless sensor network
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-15756DOI: 10.1016/j.ijleo.2011.11.011ISI: 000312469100021Scopus ID: 2-s2.0-84867397149OAI: oai:DiVA.org:miun-15756DiVA: diva2:481130
Available from: 2012-01-20 Created: 2012-01-20 Last updated: 2013-01-21Bibliographically approved

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