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题名: Location prediction-based data dissemination using swarm intelligence in opportunistic cognitive networks
作者: 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
刊名: Mathematical Problems in Engineering
ISSN号: 1024-123X
出版日期: 2014
卷号: 2014
收录类别: SCI ; EI
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.
WOS记录号: WOS:000344278600001
WOS标题词: Science & Technology ; Technology ; Physical Sciences
类目[WOS]: Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
关键词[WOS]: SUPPORT VECTOR MACHINE ; OPTIMIZATION ; COLONY ; SYSTEMS ; TUNNEL ; MODEL
研究领域[WOS]: Engineering ; Mathematics
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/15647
Appears in Collections:工业控制网络与系统研究室_期刊论文

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