Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

Version 1 : Received: 16 January 2020 / Approved: 17 January 2020 / Online: 17 January 2020 (12:49:13 CET)

A peer-reviewed article of this Preprint also exists.

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. 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.

Abstract

The radio operation in wireless sensor networks (WSN) in the Internet of Things (IoT) applications are the most common source for power consumption. However, recognizing and controlling the factors affecting radio operation can be valuable for managing the node power consumption. ContikiMAC is a low-power Radio Duty-Cycle protocol in Contiki OS used in WakeUp mode, which is a clear channel assessment (CCA) to check radio status periodically. The time spent to check 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. This paper presents a detailed analysis of radio WakeUp time factors of ContikiMAC. Then, we propose lightweight CCA (LW-CCA) as an extension to ContikiMAC to reduce the percentage of Radio Duty-Cycles in false WakeUps and idle listenings by using dynamic received signal strength indicators (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; Received Signal Strength Indicator (RSSI)

Subject

Engineering, Electrical and Electronic Engineering

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