Underground WSN Optimization By Sleep, Awake Mode And Genetic Clustering.
Along with the goals of safe and efficient underground mining operations, reliable communication is a high- stakes problem in the mining industry, which is a tough place to work. Automation through remote and automatic systems has led to improvements in the health and safety of the workplace for wor...
| Published in: | Journal of Namibian Studies Vol. 33; pp. 4488 - 4503 |
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| Main Authors: | , |
| Format: | Article |
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Society of Cultural Studies & Social Sciences
2023 Supplement
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=172998499&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 172998499 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 18635954 G5EZ jtl: Journal of Namibian Studies issn: 18635954 maglogo: N pubinfo: dt: 2023 Supplement vid: 33 pid: 92471 pub: Society of Cultural Studies & Social Sciences artinfo: ui: 172998499 ppf: 4488 ppct: 15 formats: tig: atl: Underground WSN Optimization By Sleep, Awake Mode And Genetic Clustering. aug: au: Sharma, Mukesh Gupta, Sanjeev Kumar affil: Ravindra Nath Tagore University Department of Electronics & Communication Engineering Bhopal, MP, India. su: Mines & mineral resources Wireless sensor networks Sleep Genetic algorithms Swarm intelligence Life spans sug: subj: Mines & mineral resources Wireless sensor networks Sleep Genetic algorithms Swarm intelligence Life spans keyword: Clustering Energy Optimization Routing UWSN ab: Along with the goals of safe and efficient underground mining operations, reliable communication is a high- stakes problem in the mining industry, which is a tough place to work. Automation through remote and automatic systems has led to improvements in the health and safety of the workplace for workers, the control of operations, the use of energy and money, and the ability to respond to events in real time. In this situation, Wireless Sensor Networks (WSNs) have been used a lot in underground monitoring and communication systems to track workers and tools, watch operations, and keep an eye on the environment. This paper has proposed a model that works in sleep and awake mode to increase the life span of network. Further paper has proposed a modified bio-geographical optimization genetic algorithm for the clustering of the nodes as per energy and distance of nodes. Both of the approach increases the performance of the underground WSN network. Experiment was done on different situation of the WSN and results that proposed model has improved various evaluation parameters values. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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