Hybrid Retrieval Mechanisms in Vehicle-Based P2P Networks

  • Authors:

  • Quanqing Xu;Heng Tao Shen;Zaiben Chen;Bin Cui;Xiaofang Zhou;Yafei Dai

  • Affiliations:

  • State Key Lab for Adv Opt Commun Syst & Networks, Peking University, Beijing, China 100871;School of ITEE, The University of Queensland, Brisbane, Australia QLD 4072;School of ITEE, The University of Queensland, Brisbane, Australia QLD 4072;State Key Lab for Adv Opt Commun Syst & Networks, Peking University, Beijing, China 100871;School of ITEE, The University of Queensland, Brisbane, Australia QLD 4072;State Key Lab for Adv Opt Commun Syst & Networks, Peking University, Beijing, China 100871

  • Venue:
  • ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
  • Year:
  • 2009

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Abstract

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.