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Volume 24 Issue 4
July  2009
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San-Cheng Peng, Wei-Jia Jia, Guo-Jun Wang. Survivability Evaluation in Large-Scale Mobile Ad-Hoc Networks[J]. Journal of Computer Science and Technology, 2009, 24(4): 761-774.
Citation: San-Cheng Peng, Wei-Jia Jia, Guo-Jun Wang. Survivability Evaluation in Large-Scale Mobile Ad-Hoc Networks[J]. Journal of Computer Science and Technology, 2009, 24(4): 761-774.
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Survivability Evaluation in Large-Scale Mobile Ad-Hoc Networks

  • 1School of Information Science and Engineering, Central South University, Changsha 410083, China
    2School of Computer and Communication, Hunan University of Technology, Zhuzhou 412008, China
    3Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China

Funds: This work is supported by the National Basic Research 973 Program of China under Grant No. 2003CB317003, the Research Grants Council of the Hong Kong Special Administrative Region, China under Grant No. 9041350 (CityU 114908), CityU Applied R&D Funding (ARD-(Ctr-)) under Grant Nos. 9681001 and 9678002, the Hunan Provincial Natural Science Foundation of China for Distinguished Young Scholars under Grant No. 07JJ1010, the National Natural Science Foundation of China for Major Research Plan under Grant No. 90718034, and the Program for Changjiang Scholars and Innovative Research Team in University under Grant No. IRT0661.
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  • Author Bio:

    San-Cheng Peng received his M.S. degree in computer science from Yanshan University in 2004. He is a student member of China Computer Federation (CCF). He is currently a Ph.D. candidate of the Central South University. He is also a research associate at City University of Hong Kong during 2008—2009. His current research interests include computer networks, survivability and trusted computing.

    Wei-Jia Jia is currently a full professor in the Department of Computer Science and the Director of Future Networking Center, Shenzhen Research Institute of City University of Hong Kong (CityU). He received the B.Sc. and M.Sc. degrees from Central South University, China in 1982 and 1984, and Master of Applied Sci. and Ph.D. degrees from Polytechnic Faculty of Mons, Belgium in 1992 and 1993 respectively, both in computer science. He joined German National Research Center for Information Science (GMD) in Bonn (St. Augustine) from 1993 to 1995 as a research fellow. In 1995, he joined Department of Computer Science, CityU as an assistant professor.His research interests include next generation wireless communication, protocols and heterogeneous networks, distributed systems, multicast and anycast QoS routing protocols. In these fields, he has over 300 publications in the prestige international journals (IEEE Transactions, e.g., TPDS, TC, TMC), books/chapters and refereed international conference proceedings (e.g., ACM MobiHoc, SenSys, IEEE ICDCS, INFOCOM).He (with W. Zhou) published a book "Distributed Network Systems" by Springer where the book contains extensive research materials and implementation examples. He has received the best paper award in a prestige (IEEE) conference and (with J. Chen et al.) proposed an improved algorithm for well-known Vertex Cover and Set-packing NP-hard problems with time bounds of O(kn+1.2852 k) and O((5.7k)kn) respectively. He is chair professor of Central South University, Changsha, China, guest professor of University of Science and Technology of China, Beijing Jiaotong University, and Jinan University, Guangzhou, China. He has served as the editor and guest editor for international journals, PC chairs and members/keynote speakers for various prestige international conferences. He has been listed in Marquis Who's Who (VIP) in the World (2000-2008). He is a senior member of IEEE and member of ACM.

    Guo-Jun Wang received the B.Sc. degree in geophysics, M.Sc. degree in computer science, and Ph.D. degree in computer science, from Central South University, in 1992, 1996, and 2002, respectively. He is currently a professor at Central South University, China. He is the director of the Trusted Computing Institute, formerly the Mobile Computing Institute, in the University. He is also a vice dean of the Department of Computer Science and Technology in the University. He is currently a visiting scholar at Florida Atlantic University in USA. He was a research fellow at the Hong Kong Polytechnic University, during 2003~2005, and a visiting researcher in the University of Aizu, Japan, during 2006~2007. His research interests include trusted computing, pervasive computing, mobile computing, and software engineering. He has published more than 140 technical papers and books/chapters in the above areas. He is an associate editor or on the editorial board of some international journals including Security and Communication Networks, Journal of Computer Systems, Networking, and Communications, and International Journal of Multimedia and Ubiquitous Engineering. He has also served as guest editor-in-chief or guest editor for some international journals including IEICE Transactions on Information and Systems, Journal of Supercomputing (Springer), Security and Communication Networks (Wiley), and Journal of Computers (Academy Publisher). He is a senior member of the China Computer Federation.

  • Received Date: November 24, 2008
  • Revised Date: May 10, 2009
  • Published Date: July 04, 2009
    Abstract
  • Survivability refers to the ability of a network system to fulfill critical services in a timely manner to end users in the presence of failures and/or attacks. In order to establish a highly survivable system, it is necessary to measure its survivability to evaluate the performance of the system's services under adverse conditions. According to survivability requirements of large-scale mobile ad-hoc networks (MANETs), we propose a novel model for quantitative evaluation on survivability. The proposed model considers various types of faults and connection states of mobile hosts, and uses the continuous time Markov chain (CTMC) to describe the survivability of MANETs in a precise manner. We introduce the reliability theory to perform quantitative analysis and survivability evaluation of segment-by-segment routing (SSR), multipath-based segment-by-segment routing (MP-SSR), and segment-by-segment-based multipath routing (SS-MPR) in large-scale MANETs. The proposed model can be used to analyze the network performance much more easily than a simulation-based approach. Numerical validation shows that the proposed model can be used to obtain a better evaluation result on the survivability of large-scale MANETs.
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