Home
Author Guide
Editor Guide
Reviewer Guide
Special Issues
Special Issue Introduction
Special Issues List
Topics
Published Issues
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2010
2009
2008
2007
2006
journal menu
Aims and Scope
Editorial Board
Indexing Service
Article Processing Charge
Open Access Policy
Publication Ethics
Digital Preservation Policy
Editorial Process
Subscription
Contact Us
General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
Abstracting/Indexing:
Scopus
;
DBLP
;
CrossRef
,
EBSCO
,
Google Scholar
;
CNKI,
etc.
E-mail questions
or comments to
jocm@vip.163.com
;
jcm@etpub.com
Acceptance Rate:
27%
APC:
400 USD
Average Days to Accept:
121 days
Journal Metrics
2.5
2022
CiteScore
41st percentile
Powered by
Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
What's New
2024-04-17
Volume 19, No. 3 has been indexed by Scopus.
2024-04-17
Volume 19, No. 2 has been indexed by Scopus.
2024-04-17
Vol. 19, No. 4 has been published online!
Home
>
Published Issues
>
2023
>
Volume 18, No. 9, September 2023
>
JCM 2023 Vol.18(9): 571-580
Doi: 10.12720/jcm.18.9.571-580
Multicommodity Flow Reliability for Energy Harvesting Wireless Sensor Networks
John Penaflor
and Mohammed Elmorsy
*
Department of Computer Science, MacEwan University, Edmonton, Canada; Email: penaflorj2@mymacewan.ca (J.P.)
*Correspondence: elmorsym@macewan.ca (M.E.)
Manuscript received December 9, 2022; revised May 26, 2023, accepted June 20, 2023.
Abstract—
This paper considers energy harvesting wireless sensor networks (EH-WSN) with multiple sinks supporting concurrent applications. Each application is associated with a set of sensor nodes that generate and send traffic to the associated application sink. Each node can relay any application traffic toward the application sink. In addition, each node uses an energy management unit to control the amount of traffic the node can relay based on its available energy. With the nodes’ energy levels fluctuations, it is essential to quantify the network's ability to fulfill the different applications’ quality of information and service requirements. Therefore, a novel multicommodity flow reliability problem (called MultiFlowRel) is formalized to estimate the likelihood that at least a certain amount of each application traffic is delivered to the associated application sink. The proposed problem is proven to be #P-hard, and an iterative bounding framework is proposed for deriving lower bounds on the exact reliability solutions. The proposed framework compute’s exact reliability solutions if allowed a sufficient number of iterations. Numerical results show the effectiveness of using the proposed solution to obtain good lower reliability bounds and exact solutions in reasonable running times. Furthermore, the results show examples of the use of the proposed framework in solving some interesting network design problems (e.g. optimal sink locations and appropriate transmission parameters).
Keywords
—energy harvesting wireless sensor network, network reliability, energy management, multipurpose wireless sensor networks, iterative methods, probabilistic graphical models
Cite: John Penaflor and Mohammed Elmorsy*, “Multicommodity Flow Reliability for Energy
Harvesting Wireless Sensor Networks," Journal of Communications vol. 18, no. 9, pp. 571-580, September 2023.
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
附件说明
PREVIOUS PAPER
Cubic Metric Reduction by Hybrid Companding-Universal Filtered Multi-carrier in 5G Networks
NEXT PAPER
Performance of LTE Advanced for Different Releases