Adaptive control of the packet transmission period with solar energy harvesting prediction in wireless sensor networks
| Autor: | Jihoon Yang, Kideok Kwon, Younghwan Yoo |
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| Rok vydání: | 2015 |
| Předmět: |
energy harvesting
Engineering Adaptive control Real-time computing solar energy Throughput lcsh:Chemical technology Biochemistry Article Analytical Chemistry WSN packet transmission period control Network performance lcsh:TP1-1185 ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Electrical and Electronic Engineering Instrumentation business.industry Solar energy Atomic and Molecular Physics and Optics Renewable energy business Energy harvesting Wireless sensor network Energy (signal processing) |
| Zdroj: | Sensors (Basel, Switzerland) SENSORS(15): 5 Sensors, Vol 15, Iss 5, Pp 9741-9755 (2015) Sensors Volume 15 Issue 5 Pages 9741-9755 |
| ISSN: | 1424-8220 |
| Popis: | 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%. |
| Databáze: | OpenAIRE |
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