• search hit 5 of 1
Back to Result List

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

  • 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 forThe 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).show moreshow less

Download full text files

  • Volltexteng
    (1806KB)

    Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

Export metadata

Metadaten
Document Type:Article
Author: Mehdi Amirinasab, Shahaboddin ShamshirbandORCiD, Anthony Theodore ChronopoulosORCiD, Amir MosaviORCiD, Narjes NabipourORCiD
DOI (Cite-Link):https://doi.org/10.3390/electronics9020320Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20200213-40954Cite-Link
URL:https://www.mdpi.com/2079-9292/9/2/320
Parent Title (English):electronics
Publisher:MDPI
Language:English
Date of Publication (online):2020/02/13
Date of first Publication:2020/02/12
Release Date:2020/02/13
Publishing Institution:Bauhaus-Universität Weimar
Institutes:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
Volume:2020
Issue:volume 9, issue 2, 320
Pagenumber:20
Tag:ContikiMAC; Internet of things; clear channel assessments; duty-cycles; energy efficiency; fog computing; received signal strength indicator (RSSI); signal processing; smart sensors; wireless sensor networks
GND Keyword:Internet der Dinge
Dewey Decimal Classification:500 Naturwissenschaften und Mathematik
BKL-Classification:53 Elektrotechnik
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2020
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)