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ReMIoT: Reputation-based Network Selection in Multimedia IoT

Authors :
Gabriel-Miro Muntean
Matteo Anedda
Daniele D. Giusto
Maurizio Murroni
Cristina Desogus
Source :
2019 IEEE Broadcast Symposium (BTS).
Publication Year :
2019
Publisher :
IEEE, 2019.

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.

Details

Database :
OpenAIRE
Journal :
2019 IEEE Broadcast Symposium (BTS)
Accession number :
edsair.doi...........8654f23fc7b62769fd241720d736ae5a
Full Text :
https://doi.org/10.1109/bts45698.2019.8975410