Effective management through prediction-based clustering approach in the next-generation ad hoc networks

S. Sivavakeesar; G. Pavlou; C. Bohoris; Antonio Liotta

doi:10.1109/ICC.2004.1313364

Effective management through prediction-based clustering approach in the next-generation ad hoc networks

S. Sivavakeesar, G. Pavlou, C. Bohoris, Antonio Liotta

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

14 Citations (Scopus)

Abstract

A framework for a proactive network management with the eventual aim to support quality of service (QoS) provisioning in ad hoc networks is proposed in this paper. This process is facilitated through our novel hierarchical clustering approach. This clustering approach is dynamic and distributed, and enables each mobile node (MN) to anticipate the availability of its neighbors through a scalable intelligent mobility prediction algorithm. With the formation of stable clusters, our clustering algorithm enables adaptability, autonomy, economy, scalability and survivability requirements in managing ad hoc networks by adopting policy-based management technique with mobile agent concepts. Initial results demonstrate the stability improvement of our approach.

Original language	English
Title of host publication	Proceedings 2004 IEEE International Conference on Communications (ICC 2004)
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	4326-4330
Number of pages	5
ISBN (Print)	0-7803-8533-0
DOIs	https://doi.org/10.1109/ICC.2004.1313364
Publication status	Published - 2004
Event	2004 IEEE International Conference on Communications - Paris, France Duration: 20 Jun 2004 → 24 Jun 2004

Conference

Conference	2004 IEEE International Conference on Communications
Country/Territory	France
City	Paris
Period	20/06/04 → 24/06/04

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10.1109/ICC.2004.1313364

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title = "Effective management through prediction-based clustering approach in the next-generation ad hoc networks",

abstract = "A framework for a proactive network management with the eventual aim to support quality of service (QoS) provisioning in ad hoc networks is proposed in this paper. This process is facilitated through our novel hierarchical clustering approach. This clustering approach is dynamic and distributed, and enables each mobile node (MN) to anticipate the availability of its neighbors through a scalable intelligent mobility prediction algorithm. With the formation of stable clusters, our clustering algorithm enables adaptability, autonomy, economy, scalability and survivability requirements in managing ad hoc networks by adopting policy-based management technique with mobile agent concepts. Initial results demonstrate the stability improvement of our approach.",

author = "S. Sivavakeesar and G. Pavlou and C. Bohoris and Antonio Liotta",

year = "2004",

doi = "10.1109/ICC.2004.1313364",

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pages = "4326--4330",

booktitle = "Proceedings 2004 IEEE International Conference on Communications (ICC 2004)",

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note = "2004 IEEE International Conference on Communications ; Conference date: 20-06-2004 Through 24-06-2004",

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Sivavakeesar, S, Pavlou, G, Bohoris, C & Liotta, A 2004, Effective management through prediction-based clustering approach in the next-generation ad hoc networks. in Proceedings 2004 IEEE International Conference on Communications (ICC 2004) . Institute of Electrical and Electronics Engineers, Piscataway, pp. 4326-4330, 2004 IEEE International Conference on Communications, Paris, France, 20/06/04. https://doi.org/10.1109/ICC.2004.1313364

Effective management through prediction-based clustering approach in the next-generation ad hoc networks. / Sivavakeesar, S.; Pavlou, G.; Bohoris, C. et al.
Proceedings 2004 IEEE International Conference on Communications (ICC 2004) . Piscataway: Institute of Electrical and Electronics Engineers, 2004. p. 4326-4330.

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

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AU - Bohoris, C.

AU - Liotta, Antonio

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AB - A framework for a proactive network management with the eventual aim to support quality of service (QoS) provisioning in ad hoc networks is proposed in this paper. This process is facilitated through our novel hierarchical clustering approach. This clustering approach is dynamic and distributed, and enables each mobile node (MN) to anticipate the availability of its neighbors through a scalable intelligent mobility prediction algorithm. With the formation of stable clusters, our clustering algorithm enables adaptability, autonomy, economy, scalability and survivability requirements in managing ad hoc networks by adopting policy-based management technique with mobile agent concepts. Initial results demonstrate the stability improvement of our approach.

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DO - 10.1109/ICC.2004.1313364

M3 - Conference contribution

SN - 0-7803-8533-0

SP - 4326

EP - 4330

BT - Proceedings 2004 IEEE International Conference on Communications (ICC 2004)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2004 IEEE International Conference on Communications

Y2 - 20 June 2004 through 24 June 2004

ER -

Effective management through prediction-based clustering approach in the next-generation ad hoc networks

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