ReMIoT: Reputation-based Network Selection in Multimedia IoT

Cristina Desogus;Matteo Anedda;Maurizio Murroni;Daniele Giusto;
2019-01-01

Abstract

This paper goes beyond classic Internet of Things (IoT) and focuses on the concept of Multimedia-based Internet of Things (M-IoT). Smart heterogeneous multimedia things can interact and cooperate with each another and with other things connected to the Internet to facilitate multimedia-based services and applications that are globally available to the users. Nowadays, the access network selection for heterogeneous multimedia devices is not managed taking into account the reputation that a given network has at a given instant. In order to solve these issues ReMIoT, a Reputation-based M-IoT architecture is introduced in this paper and presented alongside a novel solution to improve multimedia content delivery quality. The solution includes three distinct operational stages: (i) multimedia service detection, (ii) network reputation detection, and (iii) M-IoT network selection. The performance of the proposed solution is compared against that of a traffic type-based differentiated reputation algorithm for radio resource allocation (TYDER). This performance was evaluated in terms of QoS parameters such as throughput, packet delay and packet loss ratio.
2019
Inglese
2019 IEEE Broadcast Symposium (BTS)
9781728127842
Institute of Electrical and Electronics Engineers Inc.
6
69th IEEE Broadcast Symposium, BTS 2019
Contributo
Comitato scientifico
October 2019
Hartford (CT)
internazionale
scientifica
5G; broadcast applications smart cities; broadcast multimedia IoT; immersive media; QoS; radio access network; reputation network selection;
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Desogus, Cristina; Anedda, Matteo; Murroni, Maurizio; Giusto, Daniele; Muntean, Gabriel-Miro
273
5
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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