Stable clustering through mobility prediction for large-scale multihop intelligent ad hoc networks

S. Sivavakeesar; G. Pavlou; A. Liotta

doi:10.1109/WCNC.2004.1311663

Stable clustering through mobility prediction for large-scale multihop intelligent ad hoc networks

S. Sivavakeesar, G. Pavlou, A. Liotta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

57 Citations (Scopus)

Abstract

In this paper we present a framework for dynamically organizing mobile nodes (MNs) in large-scale mobile ad hoc networks (MANETs), with the eventual aim to support quality of service (QoS). Our dynamic, distributed clustering approach is based on intelligent mobility prediction that enables each MN to anticipate the availability of its neighbors. We present a scalable way to predict the mobility, and thus availability, of MNs, achieved with the introduction of geographically-oriented virtual clusters. We name the proposed model as the (p, t, d)-clustering model that facilitates the formation of stable clusters. Simulation results demonstrate the performance advantages of our approach.

Original language	English
Title of host publication	Proceedings 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004, Atlanta, Georgia, USA, March 21-25, 2004
Publisher	Institute of Electrical and Electronics Engineers
Pages	1488-1493
ISBN (Print)	0-7803-8344-3
DOIs	https://doi.org/10.1109/WCNC.2004.1311663
Publication status	Published - 2004

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Sivavakeesar, S., Pavlou, G., & Liotta, A. (2004). Stable clustering through mobility prediction for large-scale multihop intelligent ad hoc networks. In Proceedings 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004, Atlanta, Georgia, USA, March 21-25, 2004 (pp. 1488-1493). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/WCNC.2004.1311663

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title = "Stable clustering through mobility prediction for large-scale multihop intelligent ad hoc networks",

abstract = "In this paper we present a framework for dynamically organizing mobile nodes (MNs) in large-scale mobile ad hoc networks (MANETs), with the eventual aim to support quality of service (QoS). Our dynamic, distributed clustering approach is based on intelligent mobility prediction that enables each MN to anticipate the availability of its neighbors. We present a scalable way to predict the mobility, and thus availability, of MNs, achieved with the introduction of geographically-oriented virtual clusters. We name the proposed model as the (p, t, d)-clustering model that facilitates the formation of stable clusters. Simulation results demonstrate the performance advantages of our approach.",

author = "S. Sivavakeesar and G. Pavlou and A. Liotta",

year = "2004",

doi = "10.1109/WCNC.2004.1311663",

language = "English",

isbn = "0-7803-8344-3",

pages = "1488--1493",

booktitle = "Proceedings 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004, Atlanta, Georgia, USA, March 21-25, 2004",

publisher = "Institute of Electrical and Electronics Engineers",

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Sivavakeesar, S, Pavlou, G & Liotta, A 2004, Stable clustering through mobility prediction for large-scale multihop intelligent ad hoc networks. in Proceedings 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004, Atlanta, Georgia, USA, March 21-25, 2004. Institute of Electrical and Electronics Engineers, pp. 1488-1493. https://doi.org/10.1109/WCNC.2004.1311663

Stable clustering through mobility prediction for large-scale multihop intelligent ad hoc networks. / Sivavakeesar, S.; Pavlou, G.; Liotta, A.
Proceedings 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004, Atlanta, Georgia, USA, March 21-25, 2004. Institute of Electrical and Electronics Engineers, 2004. p. 1488-1493.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Liotta, A.

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AB - In this paper we present a framework for dynamically organizing mobile nodes (MNs) in large-scale mobile ad hoc networks (MANETs), with the eventual aim to support quality of service (QoS). Our dynamic, distributed clustering approach is based on intelligent mobility prediction that enables each MN to anticipate the availability of its neighbors. We present a scalable way to predict the mobility, and thus availability, of MNs, achieved with the introduction of geographically-oriented virtual clusters. We name the proposed model as the (p, t, d)-clustering model that facilitates the formation of stable clusters. Simulation results demonstrate the performance advantages of our approach.

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DO - 10.1109/WCNC.2004.1311663

M3 - Conference contribution

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BT - Proceedings 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004, Atlanta, Georgia, USA, March 21-25, 2004

PB - Institute of Electrical and Electronics Engineers

ER -

Stable clustering through mobility prediction for large-scale multihop intelligent ad hoc networks

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