dc.contributor.author | Zinonos, Zinon | |
dc.contributor.author | Chrysostomou, Chrysostomos | |
dc.contributor.author | Vassiliou, Vasos | |
dc.date.accessioned | 2017-11-02T12:22:47Z | |
dc.date.available | 2017-11-02T12:22:47Z | |
dc.date.issued | 2014 | |
dc.identifier.issn | 1570-8705 | |
dc.identifier.uri | http://hdl.handle.net/11728/10219 | |
dc.description.abstract | This paper presents a novel, intelligent controller to support mobility in wireless sensor
networks. In particular, the focus is on the deployment of such mobility solution to critical
applications, like personnel safety in an industrial environment. A Fuzzy Logic-based
mobility controller is proposed to aid sensor Mobile Nodes (MN) to decide whether they
have to trigger the handoff procedure and perform the handoff to a new connection position
or not. To do so, we use a combination of two locally available metrics, the RSSI and the
Link Loss, in order to ‘‘predict’’ the End-to-End losses and support the handoff triggering
procedure. As a performance evaluation environment, a real industrial setting (oil refinery)
is used. Based on on-site experiments run in the oil refinery testbed area, the proposed
mobility controller has shown significant benefits compared to other conventional solutions,
in terms of packet loss, packet delivery delay, energy consumption, and ratio of successful
handoff triggers. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | Elsevier | en_UK |
dc.relation.ispartofseries | Ad Hoc Networks;Volume 16, pages 70-87 | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_UK |
dc.subject | Wireless sensor networks | en_UK |
dc.subject | Mobility | en_UK |
dc.subject | Handoff control | en_UK |
dc.subject | Performance control | en_UK |
dc.subject | Fuzzy logic | en_UK |
dc.subject | Industrial evaluation | en_UK |
dc.title | Wireless sensor networks mobility management using fuzzy logic | en_UK |
dc.type | Article | en_UK |
dc.doi | http://dx.doi.org/10.1016/j.adhoc.2013.12.003 | en_UK |