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

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No
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Top 10%
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Top 10%
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Top 10%

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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
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OpenCitations Citation Count
34

Source

Journal of Network and Computer Applications

Volume

71

Issue

Start Page

50

End Page

58
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Citations

CrossRef : 34

Scopus : 40

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Mendeley Readers : 43

SCOPUS™ Citations

40

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Web of Science™ Citations

35

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1

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Downloads

4

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