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An Efficient Clustering Framework for Massive Sensor Networking in Industrial Internet of Things
journal contribution
posted on 2021-01-01, 00:00 authored by Shiva PokhrelShiva Pokhrel, Sandeep Verma, Sahil Garg, Ajay K Sharma, Jinho ChoiJinho ChoiMassive Machine Type IoT Communication (mMTIC) has the potential for high impact in anticipated future industry 4.0 sensor networking applications. However, the energy limitation and battery life of the IoT nodes have always been one of the long-standing problems. Clustering Routing Protocol (CRP) being the most efficient existing approach often suffers when nodes closer to the sink depletes their energy, thereby producing an unwanted energy hole, where packets in flight towards the sink often get interrupted. Considering mMTIC covering a large geographical area, such as monitoring bush fires, the multi-hop communication among the nodes often causes such an energy hole problem. In this paper, we develop an AI-based CRP (CIRP) framework for incorporating a small periphery of a fixed shaped area to ameliorate such energy holes. Our proposed framework is not only energy-optimized but also acts as a robust approach for massive communication and informed data collection.
History
Journal
IEEE Transactions on Industrial InformaticsVolume
Early AccessPublisher
Institute of Electrical and Electronics Engineers (IEEE)Location
Piscataway, N.J.Publisher DOI
ISSN
1551-3203eISSN
1941-0050Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
1969, IEEEUsage metrics
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No categories selectedKeywords
cluster-based routingclusteringenergy hole problemIndustrial IoTindustrial sensor networksScience & TechnologyTechnologyAutomation & Control SystemsComputer Science, Interdisciplinary ApplicationsEngineering, IndustrialComputer ScienceEngineeringRobot sensing systemsRoutingEnergy consumptionIndustriesRouting protocolsData communicationindustrial Internet of Things (IIoT)
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