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iSocialDrone: QoS aware MQTT middleware for social internet of drone things in 6G-SDN slice

Authors: Amartya Mukherjee; Nilanjan Dey; Atreyee Mondal; Debashis De; Rubén González Crespo;

iSocialDrone: QoS aware MQTT middleware for social internet of drone things in 6G-SDN slice

Abstract

The Internet of Things (IoT) paradigm is a predominant research domain for smart cities, smart villages, society, and industry 4.0. The introduction of Unmanned Aircraft Systems (UAS) in an ultra-low latency network with fog, dews, and edge computing gives the researcher ample scope to establish a decentralized architecture for ultra-high-speed message exchange between IoT devices. This work mainly focused on Social Internet of Things ecosystem and its design to efficiently handle large group social gatherings, events, and emergency service management. We propose a layered message transfer framework for the social IoT scenario. We also establish network connection through flying ad hoc network architecture. The standard IoT message transfer protocol is redesigned by amalgamating with an opportunistic routing mechanism and deployed within 6G software-defined network (SDN) slice. We use seven distinguished network slices for different services and corresponding access. The study reveals nearly 99% of message delivery rate with a latency upper bound of 2300 ms by opportunistic message transfer scheme in a dense network scenario for QoS 2. It also shows 95% of the bandwidth utilization per slice and 97% of network coverage under SDN in quality of service level 2. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

SDN, network slice, SIoDT, opportunistic forwarding, JCR, MQTT-QoS, Scopus, SIoT

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
Green