DocumentCode
2768009
Title
P2P File Sharing System over MANET based on Swarm Intelligence: A Cross-Layer Design
Author
Hoh, Cheng-Chang ; Hwang, Ren-Hung
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Chung-Cheng Univ.
fYear
2007
fDate
11-15 March 2007
Firstpage
2674
Lastpage
2679
Abstract
The dynamic nature of MANET causes many challenges in designing robust and scalable P2P system. Although flooding-based techniques are shown to be robust in highly dynamic network, it leads to poor efficiency in terms of bandwidth usage and scalability. In this paper, we propose an efficient and scalable P2P file sharing system based on swarm intelligence for MANET, referred to as P2PSI. By applying the behavior of the real ant colonies, P2PSI owns the capability of adaptive learning and is able to cope with mobility problem without flooding. Moreover, we also present a cross-layer architecture for P2PSI to reduce the redundant message overhead and query latency. Performance of our cross-layer design P2PSI is compared with two existing cross-layer design service discovery protocols, namely, CLdsr and CLdsr through simulations. The simulation results show that our cross-layer design P2PSI achieves better performance in terms of control overhead, request success ratio, and path length.
Keywords
ad hoc networks; learning (artificial intelligence); mobile communication; particle swarm optimisation; peer-to-peer computing; MANET; P2P file sharing system; adaptive learning; cross-layer design; flooding-based techniques; query latency; redundant message overhead; service discovery protocols; swarm intelligence; Broadcasting; Communications Society; Cross layer design; Delay; Mobile ad hoc networks; Particle swarm optimization; Peer to peer computing; Protocols; Robustness; Scalability;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
Conference_Location
Kowloon
ISSN
1525-3511
Print_ISBN
1-4244-0658-7
Electronic_ISBN
1525-3511
Type
conf
DOI
10.1109/WCNC.2007.497
Filename
4224742
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