Journal of Computing and Natural Science

An Assessment of Data Transmission Reliability in Mobile Wireless Sensor Networks

Journal of Computing and Natural Science

Received On : 10 September 2022

Revised On : 15 November 2022

Accepted On : 25 January 2023

Published On : 05 July 2023

Volume 03, Issue 03

Pages : 136-146


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


Wireless Sensor Networks (WSNs), Social Networking Sites (SNS), Social Network Optimization (SNO).

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Cite this article

J Xin Ge and Yuan Xue, “An Assessment of Data Transmission Reliability in Mobile Wireless Sensor Networks”, Journal of Computing and Natural Science, vol.3, no.3, pp. 136-146, July 2023. doi: 10.53759//181X /JCNS/202303013.


© 2023 J Xin Ge and Yuan Xue. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.