首页    期刊浏览 2024年09月18日 星期三
登录注册

文章基本信息

  • 标题:Partial Topology-Aware Data Distribution within Large Unmanned Surface Vehicle Teams
  • 本地全文:下载
  • 作者:Agyemang Isaac Osei ; Adjei-Mensah Isaac
  • 期刊名称:International Journal of Computer Networks and Applications (IJCNA)
  • 电子版ISSN:2395-0455
  • 出版年度:2020
  • 卷号:7
  • 期号:2
  • 页码:19-27
  • 语种:English
  • 出版社:EverScience Publications
  • 摘要:In a distributed team of Unmanned Surface Vehicles (USV), distributing data to attain full coverage but not to overwhelm the network is a peculiar problem as in most cases USV's within the overlay network formed have little knowledge about the network. This is associated to decision theoretical problems thus NEXPTIME. This paper presents a novel data distribution approach based on Distributed Hash Table (DHT). The proposed mechanism is partially proactive, USV's relay data to its neighbors by selecting a neighbor with the closest hash to the data hash. The data distribution is decomposed into three stagesinitial data distribution, data request, and data forwarding. The decomposition leads to a very simple but effective and efficient data distribution mechanism. Presentation of the details of the proposed data distribution algorithm is presented in respective sections of this paper with further discussions and simulated results which depict that the proposed data distribution algorithm is effective and efficient in terms of scalability, adaptability, coverage, latency, and redundancy when compared with some existing data distribution algorithms.
  • 关键词:Data Distribution;Unmanned Surface Vehicle (USV);Hashing;Request/Response
国家哲学社会科学文献中心版权所有