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).…
Dokumentart: | Artikel (Wissenschaftlicher) |
---|---|
Verfasserangaben: | Mehdi Amirinasab, Shahaboddin ShamshirbandORCiD, Anthony Theodore ChronopoulosORCiD, Amir MosaviORCiD, Narjes NabipourORCiD |
DOI (Zitierlink): | https://doi.org/10.3390/electronics9020320Zitierlink |
URN (Zitierlink): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20200213-40954Zitierlink |
URL: | https://www.mdpi.com/2079-9292/9/2/320 |
Titel des übergeordneten Werkes (Englisch): | electronics |
Verlag: | MDPI |
Sprache: | Englisch |
Datum der Veröffentlichung (online): | 13.02.2020 |
Datum der Erstveröffentlichung: | 12.02.2020 |
Datum der Freischaltung: | 13.02.2020 |
Veröffentlichende Institution: | Bauhaus-Universität Weimar |
Institute und Partnereinrichtugen: | Fakultät Bauingenieurwesen / Institut für Strukturmechanik (ISM) |
Jahrgang: | 2020 |
Ausgabe / Heft: | volume 9, issue 2, 320 |
Seitenzahl: | 20 |
Freies Schlagwort / Tag: | OA-Publikationsfonds2020; RSSI ContikiMAC; Internet of things; clear channel assessments; duty-cycles; energy efficiency; fog computing; received signal strength indicator; signal processing; smart sensors; wireless sensor networks |
GND-Schlagwort: | Internet der Dinge |
DDC-Klassifikation: | 500 Naturwissenschaften und Mathematik |
BKL-Klassifikation: | 53 Elektrotechnik |
Open Access Publikationsfonds: | Open-Access-Publikationsfonds 2020 |
Lizenz (Deutsch): | Creative Commons 4.0 - Namensnennung (CC BY 4.0) |