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 | |
刊名 | Mathematical Problems in Engineering |
2014 | |
卷号 | 2014 |
关键词 | Ant colony optimization Artificial intelligence Forecasting Hybrid systems Mobile telecommunication systems Routing protocols |
ISSN号 | 1024-123X |
通讯作者 | 李婕 |
产权排序 | 1 |
中文摘要 | 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标题词 | Science & Technology ; Technology ; Physical Sciences |
类目[WOS] | Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications |
研究领域[WOS] | Engineering ; Mathematics |
关键词[WOS] | SUPPORT VECTOR MACHINE ; OPTIMIZATION ; COLONY ; SYSTEMS ; TUNNEL ; MODEL |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000344278600001 |
公开日期 | 2015-02-04 |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/15647] |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
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). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论