@inproceedings{353c0a03adfa4756bec7d760629798ce,
title = "An evaluation of relative importance of dynamic network performance and the predictability of end user movement",
abstract = "Many existing handover mechanisms trigger network selection based on dynamic performance characteristics such as Received Signal Strength (RSS), Delay, and Loss. These approaches do not take into account how the predictability of end user movement can be used to influence and optimize handover selection. Scenarios in which predictable movement can be observed include motorways, public service vehicles and student class schedules in educational institutions. This work investigates if the consideration of predictability of movement, with dynamic performance characteristics, could improve handover decision management. A range of relative weightings of dynamic performance and mobility predictability are evaluated. Results presented illustrate that taking predictable movement as an input metric has a significant beneficial effect on the handover decision process.",
keywords = "Mobility, Network handover, Predictable movement, Probability",
author = "Niall Maher and Shane Banks and Enda Fallon",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; UKSim-AMSS 8th European Modelling Symposium on Computer Modelling and Simulation, EMS 2014 ; Conference date: 21-10-2014 Through 23-10-2014",
year = "2014",
doi = "10.1109/EMS.2014.89",
language = "English",
isbn = "9781479974115",
series = "Proceedings - UKSim-AMSS 8th European Modelling Symposium on Computer Modelling and Simulation, EMS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "425--430",
editor = "David Al-Dabass and Marco Vannucci and Athanasios Pantelous and Valentina Colla",
booktitle = "Proceedings - UKSim-AMSS 8th European Modelling Symposium on Computer Modelling and Simulation, EMS 2014",
address = "United States",
}