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
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