Conference paper Open Access

Mobility Management Solutions in Industrial Wireless Sensor Networks

Zinonos Zinon; Vassiliou Vasos


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://zenodo.org/record/3524852</identifier>
  <creators>
    <creator>
      <creatorName>Zinonos Zinon</creatorName>
      <affiliation>Department of Information Sciences Neapolis University Pafos Pafos, Cyprus</affiliation>
    </creator>
    <creator>
      <creatorName>Vassiliou Vasos</creatorName>
      <affiliation>Department of Computer Science University of Cyprus Nicosia, Cyprus and RISE Research Center on Interactive Media, Smart Systems and Emerging Technologies,Nicosia,Cyprus</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Mobility Management Solutions in Industrial Wireless Sensor Networks</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-11-01</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3524852</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/DCOSS.2019.00121</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/rise-teaming-cyprus</relatedIdentifier>
  </relatedIdentifiers>
  <version>Accepted pre-print</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nd/4.0/legalcode">Creative Commons Attribution No Derivatives 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;A number of sensor network applications are envisioned to be applied to industry settings where the existence of mobile nodes (MN) is required. In critical applications, the realtime monitoring of a MN must always be available, something that requires the existence of a suitable mobility protocol to control the handoff procedure. In this paper, we use an industrial WSN setting to perform a comprehensive performance evaluation of different mobility handling solutions based on single- and multiple-metric options. The results show that Fuzzy Logic-based Mobility Controller (FLMC), the multiple-metric approach we used (based on Fuzzy Logic), performs better compared to any single metric-based approach under a varying set of conditions. More specifically, we demonstrate that the Fuzzy Logic -based approach can efficiently control the handoff triggering procedure and provide high reliability (low packet loss) under different mobility models, different radio propagation models, and different topologies.&lt;/p&gt;</description>
    <description descriptionType="Other">This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement  No 739578 and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/739578/">739578</awardNumber>
      <awardTitle>Research Center on Interactive Media, Smart System and Emerging Technologies</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
40
12
views
downloads
Views 40
Downloads 12
Data volume 5.6 MB
Unique views 36
Unique downloads 12

Share

Cite as