Hybrid retrieval mechanisms in vehicle-based P2P networks

Xu, Quanqing, Shen, Heng Tao, Chen, Zaiben, Cui, Bin, Zhou, Xiaofang and Dai, Yafei (2009). Hybrid retrieval mechanisms in vehicle-based P2P networks. In: Gabrielle Allen, Jaroslaw Nabrzyski, Edward Seidel, Geert Dick van Albada, Jack Dongarra and Peter M.A. Sloot, Computational science - ICCS 2009 : 9th International Conference, Baton Rouge, LA., USA, May 25-27, 2009 : Proceedings. Computational Science – ICCS 2009, Baton Rouge, LA, U.S.A., (303-314). 25-27 May 2009. doi:10.1007/978-3-642-01970-8_30

Author Xu, Quanqing
Shen, Heng Tao
Chen, Zaiben
Cui, Bin
Zhou, Xiaofang
Dai, Yafei
Title of paper Hybrid retrieval mechanisms in vehicle-based P2P networks
Conference name Computational Science – ICCS 2009
Conference location Baton Rouge, LA, U.S.A.
Conference dates 25-27 May 2009
Proceedings title Computational science - ICCS 2009 : 9th International Conference, Baton Rouge, LA., USA, May 25-27, 2009 : Proceedings   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2009
Sub-type Fully published paper
DOI 10.1007/978-3-642-01970-8_30
ISBN 139783642019692; 103642019692
ISSN 0302-9743
Editor Gabrielle Allen
Jaroslaw Nabrzyski
Edward Seidel
Geert Dick van Albada
Jack Dongarra
Peter M.A. Sloot
Volume 5544
Issue Pt. 1
Start page 303
End page 314
Total pages 12
Language eng
Abstract/Summary Mobile P2P networks have potential applications in many fields, making them a focus of current research. However, mobile P2P networks are subject to the limitations of transmission range, wireless bandwidth, and highly dynamic network topology, giving rise to many new challenges for efficient search. In this paper, we propose a hybrid search approach, which is automatic and economical in mobile P2P networks. The region covered by a mobile P2P network is partitioned into subregions, each of which can be identified by a unique ID and known to all peers. All the subregions then construct a mobile Kademlia (MKad) network. The proposed hybrid retrieval approach aims to utilize flooding-based and DHT-based schemes in MKad for indexing and searching according to designed utility functions. Our experiments show that the proposed approach is more accurate and efficient than existing methods. © Springer
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

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Created: Tue, 16 Nov 2010, 14:58:26 EST by Dr Heng Tao Shen on behalf of School of Information Technol and Elec Engineering