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基于移动agent的机坪机会传输控制方法 被引量:5

Opportunistic transmission control method based on mobile agent of apron network
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摘要 针对民航机坪设备监控网络中存在过量数据分组而造成的数据拥塞和网络时延等问题,提出基于机会转发的路由算法.结合机坪与特种车辆的工况运行特点,建立了基于机会网络的机坪设备监控系统和节点移动模型;详述了基于移动agent的机坪机会网络路由算法机制,即依据消息权重计算消息副本的产生数量,将节点移动方向和自由度考虑进消息副本的产生与二叉发送中,再根据消息分组的优先级和缓存时长确定数据的缓存与释放顺序;在ONE环境下进行了试验验证.仿真结果表明:优化后的算法能有效减缓消息副本数量过多造成的数据冗余,降低路由开销和通信时延,将消息投递率提升27.78%;在路由资源有限的情况下,保障机坪设备工况数据在传输时具有稳定性和时效性. To solve the data congestion and network delay caused by excessive data packets in monitoring network of civil aviation aircraft,a routing algorithm was proposed based on opportunistic network.With the consideration of special vehicle′s working condition,the model of node motion and monitoring system was established.The routing algorithm mechanism of opportunity network was described in detail.The number of message copies was calculated according to the weight of the message.Movement direction and freedom degree of a node were considered in message generation and transmission.Data cache and release policy were determined according to message packet′s priority and cache length.The experimental verification was carried out in the ONE environment.The simulation results show that the algorithm can reduce data redundancy effectively and increase the message delivery rate by 27.78%.For the limited routing resources,the proposed algorithm can guarantee the stability and timeliness of data transmission.
作者 陈维兴 张天娇 林家泉 刘贵行 CHEN Weixing;ZHANG Tianjiao;LIN Jiaquan;LIU Guihang(College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China)
出处 《江苏大学学报(自然科学版)》 EI CAS CSCD 北大核心 2018年第3期309-315,共7页 Journal of Jiangsu University:Natural Science Edition
基金 国家自然科学基金委员会-中国民航局民航联合研究基金资助项目(U1433107) 中央高校基本科研业务基金中国民航大学专项项目(3122017002) 中央高校基本科研业务项目(3122016D008)
关键词 机坪设备 机会网络 路由策略 移动代理 数据分组 apron equipment opportunistic network routing strategy mobile agent data packet
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  • 1陆克中,陈国良,冯禹洪,刘刚,毛睿.无线传感器网络最小中继节点布置问题的近似算法[J].中国科学:信息科学,2010,40(11):1473-1482. 被引量:2
  • 2王万军.多元联系数集对模型及其评价应用[J].甘肃联合大学学报(自然科学版),2007,21(4):76-78. 被引量:23
  • 3Lu H, Li J, Guizani M. Secure and efficient data transmission for cluster-based wireless sensor net- works [J]. IEEE Trans Parall Distr Sys, 2014, 25 (3) : 750.
  • 4Reza S, Mort N P, Dmitri P, etal. Optimal proba- bilistic encryption for secure detection in wireless sensor networks [J]. IEEE Trans Inf Foren Sec, 2014, 9(3): 375.
  • 5Girao J, Westhoff D, Schneider M. CDA: Con- cealed data aggregation for reverse muhicast traffic in wireless sensor networks [C]// Proceedings of IEEE International Conference on Communications. Arlington, USA: IEEE Cornputer Society, 2005.
  • 6Castelluccia C, Myklentn E, Tsudik G. Efficient aggregation of encrypted data in wireless sensor net- works[C]// Proceedings of the 2nd Annual Inter-national Conference on Mobile and Ubiquitous Sys- tems: Networking and Services. San Diego, CA, USA: IEEE Press, 2005.
  • 7Mykletun E, Girao J, Westhoff D. Public key based crypto schemes for data concealment in wireless sen- sor networks [C]// Proceedings of IEEE Interna- tional Conference on Communications. Helsinki: IEEE, 2006.
  • 8Ganeriwal S, Srivastava M. Reputation based framework for high integrity sensor net works [C]// Proceedings of the ACM Workshop on Secur- ity of Ad Hoc and Sensor Networks. USA: ACM, 2004.
  • 9Ganeriwal S, Balzano L K, Srivastava M. Reputa- tion based framework for high integrity sensor net- works [J]. ACM Trans Sens Networks, 2008, 4 (3) : 1.
  • 10Srinivasan A, Teitelbaum J, Wu J. DRBTS: dis- tributed reputation based beacon trust system [C]// Proceedings of the IEEE International Symposium on Dependable. USA: IEEE Press, 2006.

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