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Local adaptive sampling for an energy harvesting CO2 sensor
Beijing Jiaotong University, Beijing, China.
Beijing Jiaotong University, Beijing, China.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier.
Beijing Jiaotong University, Beijing, China.
Vise andre og tillknytning
2011 (engelsk)Inngår i: IET Conference Publications, IEEE, 2011Konferansepaper, Publicerat paper (Fagfellevurdert)
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. And solar energy is proposed as the energy source to power the system. Simulation proves that the algorithm can make the C02 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.

sted, utgiver, år, opplag, sider
IEEE, 2011.
Emneord [en]
C02 sensor, adaptive sampling, energy monitoring, energy harvesting
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-31732DOI: 10.1049/cp.2011.1084Scopus ID: 2-s2.0-84861822404ISBN: 9781849194730 (tryckt)OAI: oai:DiVA.org:miun-31732DiVA, id: diva2:1146338
Konferanse
International Conference on Advanced Infocomm Technology 2011, ICAIT 2011; Wuhan; China; 11 July 2011 through 14 July 2011
Tilgjengelig fra: 2017-10-02 Laget: 2017-10-02 Sist oppdatert: 2017-10-02bibliografisk kontrollert

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