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Sensors 2015, 15(5), 9741-9755; doi:10.3390/s150509741

Adaptive Control of the Packet Transmission Period with Solar Energy Harvesting Prediction in Wireless Sensor Networks

Department of Computer Engineering, Pusan National University, Busandaehak-ro 63beon-gil Geumjeong-gu, Busan 609-735, Korea
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Academic Editors: Luciano Lavagno and Mihai T. Lazarescu
Received: 9 January 2015 / Revised: 3 April 2015 / Accepted: 16 April 2015 / Published: 24 April 2015
(This article belongs to the Special Issue Wireless Sensor Networks and the Internet of Things)
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Abstract

A number of research works has studied packet scheduling policies in energy scavenging wireless sensor networks, based on the predicted amount of harvested energy. Most of them aim to achieve energy neutrality, which means that an embedded system can operate perpetually while meeting application requirements. Unlike other renewable energy sources, solar energy has the feature of distinct periodicity in the amount of harvested energy over a day. Using this feature, this paper proposes a packet transmission control policy that can enhance the network performance while keeping sensor nodes alive. Furthermore, this paper suggests a novel solar energy prediction method that exploits the relation between cloudiness and solar radiation. The experimental results and analyses show that the proposed packet transmission policy outperforms others in terms of the deadline miss rate and data throughput. Furthermore, the proposed solar energy prediction method can predict more accurately than others by 6.92%. View Full-Text
Keywords: WSN; energy harvesting; solar energy; packet transmission period control WSN; energy harvesting; solar energy; packet transmission period control
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kwon, K.; Yang, J.; Yoo, Y. Adaptive Control of the Packet Transmission Period with Solar Energy Harvesting Prediction in Wireless Sensor Networks. Sensors 2015, 15, 9741-9755.

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