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Location prediction-based data dissemination using swarm intelligence in opportunistic cognitive networks
Li J(李婕); Wang XW(王兴伟); Jia J(贾杰); Wang, Pengfei; Zhou Y(周岩); Zhao, Zhijie
作者部门工业控制网络与系统研究室
关键词Ant Colony Optimization Artificial Intelligence Forecasting Hybrid Systems Mobile Telecommunication Systems Routing Protocols
发表期刊Mathematical Problems in Engineering
ISSN1024-123X
2014
卷号2014
收录类别SCI ; EI
EI收录号20144800264041
WOS记录号WOS:000344278600001
产权排序1
摘要Swarm intelligence is widely used in the application of communication networks. In this paper we adopt a biologically inspired strategy to investigate the data dissemination problem in the opportunistic cognitive networks (OCNs). We model the system as a centralized and distributed hybrid system including a location prediction server and a pervasive environment deploying the large-scale human-centric devices. To exploit such environment, data gathering and dissemination are fundamentally based on the contact opportunities. To tackle the lack of contemporaneous end-to-end connectivity in opportunistic networks, we apply ant colony optimization as a cognitive heuristic technology to formulate a self-adaptive dissemination-based routing scheme in opportunistic cognitive networks. This routing strategy has attempted to find the most appropriate nodes conveying messages to the destination node based on the location prediction information and intimacy between nodes, which uses the online unsupervised learning on geographical locations and the biologically inspired algorithm on the relationship of nodes to estimate the delivery probability. Extensive simulation is carried out on the real-world traces to evaluate the accuracy of the location prediction and the proposed scheme in terms of transmission cost, delivery ratio, average hops, and delivery latency, which achieves better routing performances compared to the typical routing schemes in OCNs.
语种英语
WOS标题词Science & Technology ; Technology ; Physical Sciences
WOS类目Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
关键词[WOS]SUPPORT VECTOR MACHINE ; OPTIMIZATION ; COLONY ; SYSTEMS ; TUNNEL ; MODEL
WOS研究方向Engineering ; Mathematics
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/15647
专题工业控制网络与系统研究室
通讯作者Li J(李婕)
作者单位1.Computing Center, Northeastern University, Shenyang, China
2.Key Laboratory of Networked Control System, Chinese Academy of Sciences, Shenyang, China
3.College of Information Science and Engineering, Northeastern University, Shenyang, China
4.Software College, Northeastern University, Shenyang, China
5.Information and Technology Center of China Mobile Group Liaoning Co., Ltd., Liaoning, China
推荐引用方式
GB/T 7714
Li J,Wang XW,Jia J,et al. Location prediction-based data dissemination using swarm intelligence in opportunistic cognitive networks[J]. Mathematical Problems in Engineering,2014,2014.
APA Li J,Wang XW,Jia J,Wang, Pengfei,Zhou Y,&Zhao, Zhijie.(2014).Location prediction-based data dissemination using swarm intelligence in opportunistic cognitive networks.Mathematical Problems in Engineering,2014.
MLA Li J,et al."Location prediction-based data dissemination using swarm intelligence in opportunistic cognitive networks".Mathematical Problems in Engineering 2014(2014).
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