Song, Liumeng, Chai, Kok Keong, Chen, Yue and Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 (2016) Cooperative coalition selection for quality of service optimization in cluster-based capillary networks. IEEE Systems Journal. ISSN 1932-8184

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Abstract

Cooperative multiple-input-single-output (CMISO) scheme has been proposed in the literature to prolong the network lifetime in the cluster-based Internet of Things (IoT) systems. CMISO scheme increases the spatial diversity of wireless channels, however, it reduces the transmit power and thus degrades the quality of service (QoS) performance. In this paper, we formulate the problem of cooperative coalition selection for CMISO scheme to minimize the overall packet error rate (PER). Then, we propose to apply the qubit-based quantum-inspired particle swarm optimization (QPSO) to select the optimum cluster head (CH) and cooperative devices coalition. Simulation results proved that the qubit-based QPSO has faster convergence speed and outperforms Ψ-based QPSO, particle swarm optimization (PSO), and quantum genetic algorithm (QGA) in terms of overall PER.

Item Type:	Article
Identifier:	10.1109/JSYST.2016.2630662
Keywords:	Cluster, cooperative communication, Internet of Things (IoT) systems, quality of service (QoS) provisioning, quantum-inspired particle swarm optimization (QPSO)
Subjects:	Computing > Systems > Computer networking Computing > Systems Computing
Depositing User:	Jonathan Loo
Date Deposited:	21 Jun 2017 16:00
Last Modified:	06 Feb 2024 15:53
URI:	https://repository.uwl.ac.uk/id/eprint/3501

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