Channel-Aware Routing and Priority-Aware Multi-Channel Scheduling for WSN-Based Smart Grid Applications
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
Academic Press Ltd- Elsevier Science Ltd
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Wireless Sensor Networks (WSNs) are one of the most promising solutions for smart grid applications due to advantages, such as their low-cost, different functionalities, and successful adoption to smart grid environments. However, providing quality of service (QoS) requirements of smart grid applications with WSNs is difficult because of the power constraints of sensor nodes and harsh smart grid channel conditions, such as RF interference, noise, multi-path fading and node contentions. To address these communication challenges, in this paper link-quality-aware routing algorithm (LQ-CMST) as well as the priority and channel-aware multi-channel (PCA-MC) scheduling algorithm have been proposed for smart grid applications. Furthermore, the effect of different modulation and encoding schemes on the performance of the proposed algorithms has been evaluated under harsh smart grid channel conditions. Comparative performance evaluations through extensive simulations show that the proposed algorithms significantly reduce communication delay and the choice of encoding and modulation schemes is critical to meet the requirements of envisioned smart grid applications. (C) 2016 Elsevier Ltd. All rights reserved.
Description
, Nadine/0000-0002-1583-2016; Nassef, Laila/0000-0001-9707-1259; Fadel, Etimad/0000-0002-7204-9474; Yigit, Melike/0000-0002-1275-792X
Keywords
Smart Grid, Data Prioritization, Multi-Channel Scheduling, Routing
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
34
Source
Journal of Network and Computer Applications
Volume
71
Issue
Start Page
50
End Page
58
PlumX Metrics
Citations
CrossRef : 34
Scopus : 40
Captures
Mendeley Readers : 43
SCOPUS™ Citations
40
checked on Mar 06, 2026
Web of Science™ Citations
35
checked on Mar 06, 2026
Page Views
1
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Downloads
4
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