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dc.contributor.authorKarimireddy, Thanmayee
dc.contributor.authorZhang, Sijing
dc.date.accessioned2020-08-11T10:23:19Z
dc.date.available2020-08-11T10:23:19Z
dc.date.issued2019-07-01
dc.identifier.citationKarimireddy T, Zhang S (2018) 'Optimization of real-time transmission reliability on wireless industrial automation networks', 24th International Conference on Automation and Computing (ICAC) - Newcastle upon Tyne, Institute of Electrical and Electronics Engineers Inc..en_US
dc.identifier.isbn9781862203426
dc.identifier.doi10.23919/IConAC.2018.8749112
dc.identifier.urihttp://hdl.handle.net/10547/624363
dc.description.abstractReliable transmission of the control packets is one of the key requirements of deploying an Industrial Wireless Network (IWN) for automation purposes. The use of error-prone wireless channel, transmission of control packets having hard real-time traffic over IWN have made reliable transmission assurance highly challenging. This paper intends in addressing this challenge through reliability optimization of the hard real-time traffic transmitted over IWN. ReliaMAC is a novel scheme that is proposed to support reliable transmission of hard real-time traffic using redundancy bits added to each double MAC frame. Optimization of transmission reliability is used to identify the optimum number of nodes in an IWN that can support reliable transmission of the hard real-time traffic to a maximum extent. Network simulation results revealed the effectiveness of ReliaMAC in improving reliability of hard real-time communication on IWNs.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.urlhttps://ieeexplore.ieee.org/document/8749112en_US
dc.subjectreliabilityen_US
dc.subjectnetwork simulationen_US
dc.subjecthard real timeen_US
dc.subjectindustrial wireless networken_US
dc.subjectcontrol packetsen_US
dc.titleOptimization of real-time transmission reliability on wireless industrial automation networksen_US
dc.typeConference papers, meetings and proceedingsen_US
dc.contributor.departmentUniversity of Bedfordshireen_US
dc.date.updated2020-08-11T10:21:08Z
dc.description.note


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