Conference paper Open Access

Reliable Mobility Support for e-Health Monitoring: A Performance Evaluation

Zinon Zinonos; Vasos Vassiliou; Klitos Christodoulou


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    <subfield code="a">This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE – Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2)  and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.

 Zinon Zinonos,  Vasos Vassiliou, and  Klitos Christodoulou, "Reliable Mobility Support for e-Health Monitoring: A Performance Evaluation", Innovations in Intelligent Systems and Applications, INISTA 2018, Thessaloniki, Greece, July 3-5, 2018, p.p.1-6 . DOI:  https://doi.org/10.1109/INISTA.2018.8466301 , © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.</subfield>
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    <subfield code="a">Vasos Vassiliou</subfield>
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    <subfield code="a">&lt;p&gt;Applying Wireless Sensor Networks to industry settings requests the dynamic reaction of mobile nodes. In critical applications, such as, e-health monitoring of workers, the existence of a suitable protocol to efficiently handle the handoff procedure is essential for the real-time monitoring of mobile nodes. The main contribution of this paper is a comprehensive performance evaluation considering different single and multiple metric options. The results confirm that the implementation of a fuzzy method to control the triggering procedure outperforms solutions that are based only on single metric approaches.&lt;/p&gt;</subfield>
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