ReMIoT: Reputation-based Network Selection in Multimedia IoT

Cristina Desogus, M. Anedda, M. Murroni, D. Giusto, Gabriel-Miro Muntean
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引用次数: 3

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.
ReMIoT:多媒体物联网中基于声誉的网络选择
本文超越了传统的物联网(IoT)概念,重点介绍了基于多媒体的物联网(M-IoT)概念。智能异构多媒体事物可以相互交互和协作,也可以与连接到Internet的其他事物交互和协作,以促进用户可以在全球范围内使用基于多媒体的服务和应用。目前,异构多媒体设备的接入网选择没有考虑到给定网络在给定时刻的声誉。为了解决这些问题,本文介绍了基于声誉的M-IoT架构,并提出了一种改进多媒体内容交付质量的新解决方案。该解决方案包括三个不同的操作阶段:(i)多媒体服务检测,(ii)网络声誉检测,以及(iii) M-IoT网络选择。将该算法与基于业务类型的差分信誉算法(TYDER)的性能进行了比较。根据吞吐量、数据包延迟和丢包率等QoS参数对该性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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