University of Hertfordshire

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Disconnection prediction in mobile Ad hoc networks for supporting cooperative work

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Disconnection prediction in mobile Ad hoc networks for supporting cooperative work. / De Rosa, Fabio; Malizia, Alessio; Mecella, Massimo.

In: IEEE Pervasive Computing, Vol. 4, No. 3, 07.2005, p. 62-70.

Research output: Contribution to journalReview articlepeer-review

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De Rosa, Fabio ; Malizia, Alessio ; Mecella, Massimo. / Disconnection prediction in mobile Ad hoc networks for supporting cooperative work. In: IEEE Pervasive Computing. 2005 ; Vol. 4, No. 3. pp. 62-70.

Bibtex

@article{754e3fd70bc940a19c47b2f172173366,
title = "Disconnection prediction in mobile Ad hoc networks for supporting cooperative work",
abstract = "A predictive technique, which serves as the basic layer of an innovative pervasive architecture for cooperative work and activity coordination in mobile ad hoc networks (MANET), was investigated. The predictive algorithm, called as Mobile Gambler's Ruin (MGR) algorithm, is based on the Markov chain model of the well-known gambler's ruin problem. The approach used for the investigation combines local connection management among devices with global management of both network topology and task assignment. The results show that the coordinator applies algorithms for choosing a bridge and/or executes workflow task reassignment when needed.",
author = "{De Rosa}, Fabio and Alessio Malizia and Massimo Mecella",
year = "2005",
month = jul,
doi = "10.1109/MPRV.2005.55",
language = "English",
volume = "4",
pages = "62--70",
journal = "IEEE Pervasive Computing",
issn = "1536-1268",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Disconnection prediction in mobile Ad hoc networks for supporting cooperative work

AU - De Rosa, Fabio

AU - Malizia, Alessio

AU - Mecella, Massimo

PY - 2005/7

Y1 - 2005/7

N2 - A predictive technique, which serves as the basic layer of an innovative pervasive architecture for cooperative work and activity coordination in mobile ad hoc networks (MANET), was investigated. The predictive algorithm, called as Mobile Gambler's Ruin (MGR) algorithm, is based on the Markov chain model of the well-known gambler's ruin problem. The approach used for the investigation combines local connection management among devices with global management of both network topology and task assignment. The results show that the coordinator applies algorithms for choosing a bridge and/or executes workflow task reassignment when needed.

AB - A predictive technique, which serves as the basic layer of an innovative pervasive architecture for cooperative work and activity coordination in mobile ad hoc networks (MANET), was investigated. The predictive algorithm, called as Mobile Gambler's Ruin (MGR) algorithm, is based on the Markov chain model of the well-known gambler's ruin problem. The approach used for the investigation combines local connection management among devices with global management of both network topology and task assignment. The results show that the coordinator applies algorithms for choosing a bridge and/or executes workflow task reassignment when needed.

UR - http://www.scopus.com/inward/record.url?scp=30544453619&partnerID=8YFLogxK

U2 - 10.1109/MPRV.2005.55

DO - 10.1109/MPRV.2005.55

M3 - Review article

VL - 4

SP - 62

EP - 70

JO - IEEE Pervasive Computing

JF - IEEE Pervasive Computing

SN - 1536-1268

IS - 3

ER -