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基于免疫信息SV捎带的机会网络低开销路由算法 被引量:3

Low-overhead routing algorithm for opportunistic networks based on immunity information piggybacked by SV
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摘要 提出一种新的低开销路由算法——LRPI(low-overhead routing with piggybacked immunity information),它包含以下4种新机制:基于SV(summary vector)捎带的免疫信息存储和传送,免疫信息跨层快速产生,改进的SV交换,SV自适应压缩。通过采用这些新机制,LRPI算法不仅不需要专门的数据结构来存发免疫信息,而且能够更快速地实现同样的免疫功能。理论分析和仿真结果表明,LRPI算法在控制开销、节点缓存分组数和数据分组端到端时延等方面的性能均优于Epidemic路由算法和它的多个改进版本。 A novel routing algorithm, LRPI (low-overhead routing with piggybacked immunity information) was pro-posed. LRPI contains the following four new mechanisms: piggybacking the immune information with SV(surnmaryvectors), fast generation of the immune information through a cross-layer method, an improved exchange mechanism ofSV, and adaptive compression of SV. Based on the above new mechanism, LRPI not only avoids using special datastructure but also can achieve the same immune function more quickly. Theoretical analysis and simulation results showthat LRPI outperforms the classical epidemic routing algorithm and a few of its improvements in terms of control over-head, the number of ~aved packets, and average end-to-end delay.
出处 《通信学报》 EI CSCD 北大核心 2014年第10期81-88,共8页 Journal on Communications
基金 国家自然科学基金资助项目(61379159) 长江学者和创新团队发展计划基金资助项目(IRT1299) 重庆市自然科学基金资助项目(cstc2012jj A40051) 重庆市教委基金资助项目(Kjzh11206)~~
关键词 机会网络 路由算法 免疫机制 开销 opportunistic networks routing algorithms immune mechanisms overhead
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  • 1Hull B, Bychkovsky V, Zhang Y, Chen K, Goraczko M, Miu A, Shih E, Balakrishnan H, Madden S. CarTel: A distributed mobile sensor computing system. In: Proc. of the 4th Int'l Conf. on Embedded Networked Sensor Systems. Boulder: ACM, 2006. 125-138. 被引量:1
  • 2Pan H, Chaintreau A, Scott J, Gass R, Crowcroft J, Diot C. Pocket switched networks and human mobility in conference environments. In: Proc. of the 2005 ACM SIGCOMM Workshop on Delay-Tolerant Networking. Philadelphia: ACM. 2005. 244-251. 被引量:1
  • 3Juang P, Oki H, Wang Y, Martonosi M, Peh LS, Rubenstein D. Energy-Efficient computing for wildlife tracking: Design tradeoffs and early experiences with ZebraNet. In: Proc. of the 10th Int'l Conf. on Architectural Support for Programming Languages and Operating Systems. New York: ACM, 2002.96-107. DO1=http://doi.acm.org/10.1145/605397.605408 被引量:1
  • 4Pelusi L, Passarella A, Conti M. Opportunistic networking: data forwarding in disconnected mobile ad hoc networks. Communications Magazine, 2006,44(11): 134-141. 被引量:1
  • 5Conti M, Giordano S. Multihop ad hoe networking: The reality. Communications Magazine, 2007,45(4):88-95. 被引量:1
  • 6Fall K. A delay-tolerant network architecture for challenged Internets. In: Proc. of the 2003 Conf. on Applications, Technologies, Architectures, and Protocols for Computer Communications. Karlsruhe: ACM, 2003.27-34. 被引量:1
  • 7Akyildiz IF, Akan B, Chert C, Fang J, Su W. InterPlaNetary Intemet: State-of-the-Art and research challenges. Computer Networks, 2003,43(2):75-112. 被引量:1
  • 8Gupta P, Kumar P. The capacity of wireless networks. IEEE Trans. on Information Theory, 2000,46(2):388-404. 被引量:1
  • 9Grossglauser M, Tse DNC. Mobility increases the capacity of ad hoc wireless networks. IEEE/ACM Trans. on Networking, 2002, 10(4):477-486. 被引量:1
  • 10Small T, Haas ZJ. The shared wireless infostation model: A new ad hoc networking paradigm (or where there is a whale, there is a way). In: Proc. of the 4th ACM Int'l Symp. on Mobile Ad Hoc Networking. Annapolis: ACM, 2003. 233-244. 被引量:1

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