Optimization Based Hybrid Congestion Alleviation for 6LoWPAN Networks

Al-Kashoash, HAA, Amer, HM, Mihaylova, L et al. (1 more author) (2017) Optimization Based Hybrid Congestion Alleviation for 6LoWPAN Networks. IEEE Internet of Things Journal, 4 (6). pp. 2070-2081. ISSN 2327-4662

Abstract

Metadata

Authors/Creators:
  • Al-Kashoash, HAA
  • Amer, HM
  • Mihaylova, L
  • Kemp, AH
Copyright, Publisher and Additional Information: © 2017 IEEE. This is an author produced version of a paper published in IEEE Internet of Things Journal. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Congestion alleviation, hybrid solution, multi attribute decision making, optimization theory, 6LoWPAN networks, IoT applications.
Dates:
  • Published: December 2017
  • Accepted: 17 September 2017
  • Published (online): 20 September 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/P023312/1
Depositing User: Symplectic Publications
Date Deposited: 26 Sep 2017 10:25
Last Modified: 27 Feb 2019 16:12
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/JIOT.2017.2754918

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