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DoTHa - A Double-threshold Hand-off Algorithm for Managing Mobility in Wireless Mesh Networks
Universidad de Zaragoza, Zaragoza, Spain.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5590-0784
University of Porto, Portugal.ORCID iD: 0000-0002-9544-3028
Universidad de Zaragoza, Zaragoza, Spain.
2016 (English)In: 21st IEEE Conference on Emerging Technologies and Factory Automation ETFA'16, 2016, 7733511Conference paper, Published paper (Refereed)
Abstract [en]

Wireless communication will play an increasingly important role in future factory automation and process control, where the presence of mobile autonomous devices is expected to grow. However, wireless links are prone to errors due to shadowing and multi-path fading, which is even more severe in dynamic environments. These problems can be attenuated by using a mesh backbone to which mobile node connect to, using a hand-off algorithm. This solution is particularly important under real-time requirements typically found in factory automation. In this paper, we devise the Double-Threshold Hand-off (DoTHa) algorithm, a novel hand-off mechanism that triggers a hand-off in various environmental conditions. As a case study, we carry out the tele-operation of a mobile robot through a wireless mesh network in an indoor setting, using a wireless chain network protocol (WICKPro-SRT) that supports soft real-time traffic. We empirically compared DoTHa with two existing hand-off algorithms based on single and double hysteresis margin. The results revealed that DoTHa achieves Data Delivery Ratio (DDR) close to 100% whereas the single hysteresis-based hand-off suffers from frequent disconnections, dropping DDR to 88%. The double hysteresis-based hand-off shows higher ping-pong effect than DoTHa, doubling the number of hand-offs in some scenarios.

Place, publisher, year, edition, pages
2016. 7733511
Keyword [en]
Wireless mesh networks, mobility, hand-off, chain topology, soft real-time, token passing, IEEE 802.11
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-32888DOI: 10.1109/ETFA.2016.7733511ISI: 000389524200019Scopus ID: 2-s2.0-84996522079ISBN: 978-1-5090-1314-2 (print)OAI: oai:DiVA.org:mdh-32888DiVA: diva2:955805
Conference
21st IEEE Conference on Emerging Technologies and Factory Automation ETFA'16, 6-9 Sep 2016, Berlin, Germany
Projects
READY - Research Environment for Advancing Low Latency Internet
Available from: 2016-08-26 Created: 2016-08-24 Last updated: 2017-01-05Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
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