Optimization of Sensor Deployment for Industrial Internet of Things Using a Multiswarm Algorithm

A bio-inspired metaheuristics canonical particle multiswarm optimization (CPMSO) algorithm is presented to investigate the optimal deployment pattern for sensors to improve the connectivity in Industrial Internet of Things (IIoT). The proposed algorithm ensures effective deployment by building κ-con...

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Bibliographic Details
Published in:IEEE internet of things journal 2019-12, Vol.6 (6), p.10344-10362
Main Authors: Hasan, Mohammed Zaki, Al-Rizzo, Hussain
Format: Article
Language:English
Subjects:
Algorithms
Canonical swarm optimization
connectivity
Delay
Delays
Energy consumption
fault tolerant
fully particle multiswarm optimization (FPMSO)
Industrial applications
Industrial Internet of Things (IIoT)
Internet of Things
Internet of Things (IoT)
multiswarm
Optimization
Particle swarm optimization
Quality of service
Quality of service architectures
Throughput
Topology
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Summary:A bio-inspired metaheuristics canonical particle multiswarm optimization (CPMSO) algorithm is presented to investigate the optimal deployment pattern for sensors to improve the connectivity in Industrial Internet of Things (IIoT). The proposed algorithm ensures effective deployment by building κ-connected network to tolerate failure while satisfying quality of service (QoS) in terms of energy consumption, delay, and throughput. We prove the effectiveness of the CPMSO algorithm by deploying multitopologies satisfying the QoS and results are compared against the conventional canonical particle swarm optimization (CPSO) and fully particle multiswarm optimization (FPMSO) algorithms. It is shown that CPMSO and FPMSO improve the throughput by approximately 95.23%, while minimizing the energy consumption by 87.5%, and the delay by 95.00% as compared with CPSO.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2019.2938486