摘要
针对群智感知网络数据收集中的效率问题,需要整合数据收集能量、延迟优化节点、参数设置、网络路由和通信协议等多方面优势,建立符合实际的群智感知网络的智能高效数据收集策略。本文设计了一种能够减少数据冗余、提高数据覆盖率的群体感知策略,从如何选择数据收集者,降低平台开销,提高网络覆盖率来保证应用的服务质量,为群智感知网络高效数据收集提供参考依据。
aiming at the efficiency of data collection in swarm intelligence aware network, integrate the advantages of data collection energy, delay optimization nodes, parameter settings, network routing and communication protocols, and establish an intelligent and efficient data collection strategy that conforms to the reality of swarm intelligence aware network. This paper designs a group awareness strategy that can reduce data redundancy and improve data coverage, from how to select data collectors, reduce platform overhead, and improve network coverage to ensure the quality of service of applications, so as to provide a reference for group intelligence to perceive the efficient data collection of the network.
作者
胡同花
HU Tonghua(Department of Library Network Center,Yongzhou vocational and Technical College,Yongzhou,China,425100)
出处
《福建电脑》
2022年第11期49-53,共5页
Journal of Fujian Computer
基金
永州市2021年指导性科技计划项目《群体感知网络中保障服务质量的高效数据收集策略研究》(No.2021-YZKJZD-016)资助。
关键词
群智感知
数据收集
高效
策略
Group Intelligence Perception
Data Collection
Efficient
Strategy