A QoS-Aware Data Collection Protocol for LLNs in Fog-Enabled Internet of Things

Sanwar Hosen, ASMS; Singh, S; Sharma, PK; Rahman, MS; Ra, IH; Cho, GH; Puthal, D

A QoS-Aware Data Collection Protocol for LLNs in Fog-Enabled Internet of Things

Sanwar Hosen, ASMS Singh, S Sharma, PK Rahman, MS Ra, IH Cho, GH Puthal, D

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Network and Service Management, 2020, 17, (1), pp. 430-444
Issue Date:: 2020-03-01

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Field	Value	Language
dc.contributor.author	Sanwar Hosen, ASMS
dc.contributor.author	Singh, S
dc.contributor.author	Sharma, PK
dc.contributor.author	Rahman, MS
dc.contributor.author	Ra, IH
dc.contributor.author	Cho, GH
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X
dc.date.accessioned	2020-10-19T19:21:29Z
dc.date.available	2020-10-19T19:21:29Z
dc.date.issued	2020-03-01
dc.identifier.citation	IEEE Transactions on Network and Service Management, 2020, 17, (1), pp. 430-444
dc.identifier.issn	1932-4537
dc.identifier.issn	1932-4537
dc.identifier.uri	http://hdl.handle.net/10453/143377
dc.description.abstract	© 2004-2012 IEEE. Improving quality of service (QoS) of low power and lossy networks (LLNs) in Internet of things (IoT) is a major challenge. Cluster-based routing technique is an effective approach to achieve this goal. This paper proposes a QoS-Aware clustering-based routing (QACR) mechanism for LLNs in Fog-enabled IoT which provides a clustering, a cluster head (CH) election, and a routing path selection technique. The clustering adopts the community detection algorithm that partitions the network into clusters with available nodes' connectivity. The CH election and relay node selection both are weighted by the rank of the nodes which take node's energy, received signal strength, link quality, and number of cluster members into consideration as the ranking metrics. The number of CHs in a cluster is adaptive and varied according to a cluster state to balance the energy consumption of nodes. Besides, the protocol uses the CH role handover technique during CH election that decreases the control messages for the periodic election and cluster formation in detail. An evaluation of the QACR has performed through simulations for various scenarios. The obtained results show that the QACR improves the QoS in terms of packet delivery ratio, latency, and network lifetime compared to the existing protocols.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Network and Service Management
dc.relation.isbasedon	10.1109/TNSM.2019.2946428
dc.rights	© 2020 IEEE. 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.	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	A QoS-Aware Data Collection Protocol for LLNs in Fog-Enabled Internet of Things
dc.type	Journal Article
utslib.citation.volume	17
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2020-10-19T19:21:19Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	17
utslib.citation.issue	1

Abstract:

© 2004-2012 IEEE. Improving quality of service (QoS) of low power and lossy networks (LLNs) in Internet of things (IoT) is a major challenge. Cluster-based routing technique is an effective approach to achieve this goal. This paper proposes a QoS-Aware clustering-based routing (QACR) mechanism for LLNs in Fog-enabled IoT which provides a clustering, a cluster head (CH) election, and a routing path selection technique. The clustering adopts the community detection algorithm that partitions the network into clusters with available nodes' connectivity. The CH election and relay node selection both are weighted by the rank of the nodes which take node's energy, received signal strength, link quality, and number of cluster members into consideration as the ranking metrics. The number of CHs in a cluster is adaptive and varied according to a cluster state to balance the energy consumption of nodes. Besides, the protocol uses the CH role handover technique during CH election that decreases the control messages for the periodic election and cluster formation in detail. An evaluation of the QACR has performed through simulations for various scenarios. The obtained results show that the QACR improves the QoS in terms of packet delivery ratio, latency, and network lifetime compared to the existing protocols.

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http://hdl.handle.net/10453/143377