移动无线传感器网络中数据传输可靠性评估

J. Ge, Yuan Xue
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引用次数: 0

摘要

尽管近年来互联网有了很大的改进,但很少有人经常使用它。尽管人们可以通过许多途径在网上分享和收集信息,但在线社交网络已经迅速成为主要的传播手段。以往的许多研究都存在计算过程笨拙、效率低下等问题,而社交网络中节点和交互的庞大数量对隐私保护提出了重大挑战。在本文中,我们使用社交网站(SNS)的动态设置作为研究背景,集中讨论移动无线传感器网络(wsn)在可扩展性、信息简单性和延迟容忍度方面的可靠性的关键问题。讨论了各种可靠性问题,包括但不限于:工程领域应用中的拓扑可靠性评估技术,蜂窝无线传感器网络的移动最大化对数据收集效率和网络可靠性的影响,依赖于智能学习方法的可靠信息传输,数据融合,以及群体智能的仿生优化
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Assessment of Data Transmission Reliability in Mobile Wireless Sensor Networks
Despite the significant improvements made to the internet in recent years, fewer individuals are utilizing it on a regular basis. Although there are many avenues via which people may share and gather information online, online social networks have quickly risen to prominence as a primary means of dissemination. Many of the previous researches have issues, such as clumsy computing processes and poor efficiency, while the sheer volume of nodes and interactions in social networks provide significant challenges for privacy protection. In this article, we use the dynamic setting of Social Networking Sites (SNS) as a study context, zeroing in on the critical concerns of mobile Wireless Sensor Networks (WSNs) dependability in terms of scalability, information simplicity, and delay tolerance.Various issues of dependability are discussed, including but not limited to: topological reliability evaluation techniques in engineeringfield applications, the implications of mobile maximization of cellular WSNs on the efficiency of data collection and reliability of network, dependable information transmission reliant of the approaches of smart learning, data fusion, and the bionic optimization of swarm intelligence
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