Wake-Up Receiver-Based Routing for Clustered Multihop Wireless Sensor Networks.

IoT WSN clusters energy-efficiency latency-minimisation multicasting routing wake-up based sensors

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
23 Apr 2022
Historique:
received: 19 03 2022
revised: 08 04 2022
accepted: 21 04 2022
entrez: 20 5 2022
pubmed: 21 5 2022
medline: 21 5 2022
Statut: epublish

Résumé

The Wireless Sensor Network (WSN) is one of the most promising solutions for the supervision of multiple phenomena and for the digitisation of the Internet of Things (IoT). The Wake-up Receiver (WuRx) is one of the most trivial and effective solutions for energy-constrained networks. This technology allows energy-autonomous on-demand communication for continuous monitoring instead of the conventional radio. The routing process is one of the most energy and time-consuming processes in WSNs. It is, hence, crucial to conceive an energy-efficient routing process. In this paper, we propose a novel Wake-up Receiver-based routing protocol called Clustered WuRx based on Multicast wake-up (CWM), which ensures energy optimisation and time-efficiency at the same time for indoor scenarios. In our proposed approach, the network is divided into clusters. Each Fog Node maintains the routes from each node in its cluster to it. When a sink requires information from a given node, it's corresponding Fog Node uses a multicast wake-up mechanism to wake up the intended node and all the intermediate nodes that will be used in the routing process simultaneously. Measurement results demonstrate that our proposed approach exhibits higher energy efficiency and has drastic performance improvements in the delivery delay compared with other routing protocols.

Identifiants

pubmed: 35590944
pii: s22093254
doi: 10.3390/s22093254
pmc: PMC9104965
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Leipzig University of Applied Sciences
ID : 04277

Références

Sensors (Basel). 2018 Oct 18;18(10):
pubmed: 30340393
Sensors (Basel). 2021 Jan 14;21(2):
pubmed: 33466681
Sensors (Basel). 2022 Mar 10;22(6):
pubmed: 35336342

Auteurs

Maximilian Weber (M)

Smart Diagnostic and Online Monitoring, Leipzig University of Applied Sciences, Wächterstrasse 13, 04107 Leipzig, Germany.

Ghofrane Fersi (G)

Research Laboratory on Development and Control of Distributed Applications (ReDCAD), National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia.

Robert Fromm (R)

Smart Diagnostic and Online Monitoring, Leipzig University of Applied Sciences, Wächterstrasse 13, 04107 Leipzig, Germany.

Faouzi Derbel (F)

Smart Diagnostic and Online Monitoring, Leipzig University of Applied Sciences, Wächterstrasse 13, 04107 Leipzig, Germany.

Classifications MeSH