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Open AccessArticle

Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things

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Internet of Things Laboratory, Hamedan 6514867953, Iran
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Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
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Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam
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Department of Computer Science, University of Texas, San Antonio, TX 78249, USA
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Department of Computer Engineering & Informatics, University of Patras, Patras, 26500 Rio, Greece
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Institute of Structural Mechanics, Bauhaus-Universität Weimar, D-99423 Weimar, Germany
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Faculty of Health, Queensland University of Technology, 130 Victoria Park Road, Kelvin Grove QLD 4059, Australia
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Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
*
Authors to whom correspondence should be addressed.
Electronics 2020, 9(2), 320; https://doi.org/10.3390/electronics9020320
Received: 14 January 2020 / Revised: 30 January 2020 / Accepted: 3 February 2020 / Published: 12 February 2020
(This article belongs to the Section Networks)
The radio operation in wireless sensor networks (WSN) in Internet of Things (IoT) applications is the most common source for power consumption. Consequently, recognizing and controlling the factors affecting radio operation can be valuable for managing the node power consumption. Among essential factors affecting radio operation, the time spent for checking the radio is of utmost importance for monitoring power consumption. It can lead to false WakeUp or idle listening in radio duty cycles and ContikiMAC. ContikiMAC is a low-power radio duty-cycle protocol in Contiki OS used in WakeUp mode, as a clear channel assessment (CCA) for checking radio status periodically. This paper presents a detailed analysis of radio WakeUp time factors of ContikiMAC. Furthermore, we propose a lightweight CCA (LW-CCA) as an extension to ContikiMAC to reduce the Radio Duty-Cycles in false WakeUps and idle listening though using dynamic received signal strength indicator (RSSI) status check time. The simulation results in the Cooja simulator show that LW-CCA reduces about 8% energy consumption in nodes while maintaining up to 99% of the packet delivery rate (PDR).
Keywords: Internet of Things; IoT; wireless sensor networks; ContikiMAC; energy efficiency; duty-cycles; clear channel assessments; fog computing; smart sensors; signal processing; received signal strength indicator (RSSI) Internet of Things; IoT; wireless sensor networks; ContikiMAC; energy efficiency; duty-cycles; clear channel assessments; fog computing; smart sensors; signal processing; received signal strength indicator (RSSI)
MDPI and ACS Style

Amirinasab, M.; Shamshirband, S.; Chronopoulos, A.T.; Mosavi, A.; Nabipour, N. Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things. Electronics 2020, 9, 320.

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