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An adaptive and secure routes migration model for the sustainable cloud of things
Journal article   Peer reviewed

An adaptive and secure routes migration model for the sustainable cloud of things

Naveed Islam, Khalid Haseeb, Amjad Rehman, Teg Alam and Gwanggil Jeon
Cluster computing, Vol.26(2), pp.1631-1642
31/03/2023

Abstract

Computer Science, Information Systems Computer Science, Theory & Methods Science & Technology Mobile network Technological development Risk assessment Intelligent computing Cloud of things Computer Science Technology
Software-defined networks (SDN) have gained a lot of attention in recent years as a technique to develop smart systems with a help of the Internet of Things (IoT). Its powerful and centralized architecture makes a balanced contribution to the management of sustainable applications through efficient processes. These networks also systematically keep track of mobile devices and decrease the extra overheads in the communication cost. Many solutions are proposed to cope with data transferring for the critical system, however, mobile devices, on the other hand, require long-distance communication links with minimal retransmissions. Furthermore, the mobile network is highly infected by security attacks and compromised the IoT architecture for both the intermediate layers and end-users. Therefore, this paper presents an adaptive routes migration model for sustainable applications with the collaboration of SDN architecture and limits the disconnectivity time in data transporting along with efficient management of network services. Moreover, its centralized controller fetches the updated information from low-level smart devices and supervised their monitoring efficiently. The proposed model also secures the cloud of things (CoTs) from network threats and protects private data. It provides three levels of security algorithms and supports adaptive computing systems. The proposed model was tested using simulations, and the findings showed that it outperformed other existing studies in terms of packet delivery ratio by 13%, packet loss rate by 15%, transmission error by 22%, computing cost by 17%, and latency by 18%.
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