QoE Assessment for IoT-Based Multi Sensorial Media Broadcasting

Jalal, Lana; Anedda, Matteo; Popescu, Vlad; Murroni, Maurizio

doi:10.1109/tbc.2018.2823914

Cited by 45 publications

(36 citation statements)

References 23 publications

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“…Under this content-centric IoT, the goal is to allocate cache capacity between content-centric computing nodes and process transmission rates within the total network cost and Mean Opinion Score (MOS) limits for the entire IoT. Paper [9] presents an IoT-based architecture for multi sensorial media delivery to TV users in a home entertainment scenario. Paper [10] formulates a computation offloading game to model the competition between IoT users and allocate the limited processing power of fog nodes efficiently.…”

Section: A Qoe Guarantee Methodsmentioning

confidence: 99%

New Cross-Domain QoE Guarantee Method Based on Isomorphism Flow

Wang

Chen

Wang

et al. 2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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This paper investigates the issue of Quality of Experience (QoE) for multimedia services in Internet of Things (IoT), introduces a new concept of "Isomorphism Flow"(iFlow) for multimedia traffic in IoT, which is inspired by abstract algebra based on experimental research and is aggregated from the multimedia traffics with similar Quality of Experience (QoE) requirements for different users, and improves typical QoE evaluation method for multimedia traffic in IoT.Then a new cross-domain QoE guarantee method based on the iFlow QoE is proposed in this paper to adjust the network resource from the perspective of user perception. The proposed scheme is validated through simulation, which indicates the proposed scheme outperforms the current scheme. Specifically, simulation results show that the proposed scheme achieves an enhancement in QoE performance for the multimedia traffics. Furthermore, it retains the perceived QoE of the real-time application users within high satisfaction levels.

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Section: A Qoe Guarantee Methodsmentioning

confidence: 99%

New Cross-Domain QoE Guarantee Method Based on Isomorphism Flow

Wang

Chen

Wang

et al. 2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…The QoS requirements and the capabilities of HIC systems vary considerably with the dynamics of the interaction with the remote participant [26], [27], [44]. In the dialoging mode, where the interaction is highly dynamic (e.g., therapist-patient interaction, where the therapist remotely operates a local robotic avatar to assist the local patient to perform rehabilitation exercises), delays and reliability of haptic data communication are paramount for safe communication (a latency requirement of 0-50 ms).…”

Section: U S E C a S E S A N D R E Q U I R E M E N T Smentioning

confidence: 99%

The IEEE 1918.1 “Tactile Internet” Standards Working Group and its Standards

et al. 2019

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“…Jalal et al 18 assessed the quality of experience of users using the PlaySEM SER as a tool to compose their IoT-based architecture for mulsemedia delivery to TV users in a home entertainment scenario. The authors champion that one of the targets of the next generation of TV broadcast services is to provide realistic media content to the users.…”

Section: Quality Of Experience Assessment Using the Playsem Platformmentioning

confidence: 99%

“…The environment assembled by Jalal et al 18 included three RGB Smart Philips LED light devices for lighting effect, an air conditioner for air flow, and a smartphone for vibration effects. The assessment involved 40 participants, 2 per session, to give feedback about a video sequence enriched with mulsemedia.…”

Section: Quality Of Experience Assessment Using the Playsem Platformmentioning

confidence: 99%