Social-Similarity-based Multicast Algorithm in impromptu mobile social networks

Xu, Yuan; Xiao, Chunxia

doi:10.1109/glocom.2014.7036832

Cited by 13 publications

(5 citation statements)

References 12 publications

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“…Currently, due to streaming technology and sound source protection in mobile environments, the system is changing into a central server type. The above-mentioned application was built with WiFi-based cloud computing technology and has the important advantage of preventing wasting server resources and related costs [23][24][25][26]. The application allows users or listeners to recreate and reshare music based on their experiences and skills.…”

Section: Maas Music Sharing Servicementioning

confidence: 99%

Design and Implementation of Impromptu Mobile Social Karaoke for Digital Cultural Spaces in the New Normal Era

Shin,

Lim

2023

Applied Sciences

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Although music singing and sharing is a most common cultural activity, users are not allowed to instantly share their own songs due to fixed streaming and listening services on the music service platforms. In order to deal with instant singing and listening together with other users, this research was conducted to propose a mobile social karaoke system that supports group creation and music sharing via smartphones. The proposed karaoke system consists of a social music cloud that provides impromptu mobile singing and sharing services on the user’s devices. The social music cloud manages a group of users and supports data streaming and message sharing among the users’ devices. The users’ devices enable users to utilize karaoke services based on touch and voice-based natural interfaces in consideration of mobile specifications. After testing the system’s usability and stability, the results illustrated that the voice-based interface was effective in controlling and using the service according to the devices’ mobility and availability. In addition, when karaoke services are utilized in small groups, music transmission/reception is possible without being affected by the number of users. This study has three implications: first, it presented an important possibility for the creation of more active digital cultural spaces and changing mobile life by providing users with a recreation function; second, it provides convenient touch and voice UI for mobile users; and, third, it improves performance and management through its distributed processing.

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Section: Maas Music Sharing Servicementioning

confidence: 99%

Design and Implementation of Impromptu Mobile Social Karaoke for Digital Cultural Spaces in the New Normal Era

Shin,

Lim

2023

Applied Sciences

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“…is defined based on frequency [17] as follows: Here, we come up with definition (2) for the enhanced dynamic social features which will be proved to satisfy our needs in the later analysis section.…”

Section: Dynamic Social Featuresmentioning

confidence: 99%

“…The Infocom 2006 trace has been widely used to test routing algorithms in mobile social networks [16,17]. The trace recorded conference attenders' encounter history using Bluetooth small devices (iMotes) for four days at the conference.…”

Section: The Infocom 2006 Tracementioning

confidence: 99%

“…Most of the existing multicast algorithms are proposed for the generalpurpose DTNs [11,12,13,14,15] without social characteristics. There are a few multicast algorithms involving social factors [16,17] and taking advan- Language and its values can be English, Spanish, and so on. Social features and their values can be obtained from user profiles when they register for an event.…”

Section: Introductionmentioning

confidence: 99%

“…Deng et al propose a social profile-based multicast algorithm (SPM) [16] based on static social features in user profiles. In our previous work [17], we argued that static social features may not always reflect nodes' dynamic contact behavior and introduced dynamic social features to capture nodes' contact frequency with people having a certain social feature and then developed a social similarity-based multicast algorithm named Multi-Sosim based on dynamic social features. Simulation results showed that Multi-Sosim outperforms SPM.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient Multicast Algorithms in Opportunistic Mobile Social Networks using Community and Social Features

et al. 2016

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Opportunistic Mobile Social Networks (OMSNs), formed by people moving around carrying mobile devices, enhance spontaneous communication among users that opportunistically encounter each other without additional infrastructure. Multicast is an important communication service in OMSNs. Most of the existing multicast algorithms neglect or adopt static social factors that are inadequate to catch nodes' dynamic contact behavior. In this paper, we introduce dynamic social features and its enhancement to capture nodes' contact behavior, consider more social relationships among nodes, and adopt community structure in the multicast compare-split schemes to select the best relay nodes to improve multicast efficiency. We propose two multicast algorithms based on these new features. The first one Multi-CSDO involves destination nodes only in community detection while the second one Multi-CSDR involves both the destination nodes and the relay candidates in community detection. The analysis of the algorithms is given and simulation results using two real OMSN traces show that our new algorithms outperform the existing ones in delivery rate, latency, and number of forwardings.

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Message Transmission Scheme Based on the Detection of Interest Community in Mobile Social Networks

Cai¹,

Hou²,

Fan³

et al. 2018

Communications in Computer and Information Science

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Social-Similarity-based Multicast Algorithm in impromptu mobile social networks

Cited by 13 publications

References 12 publications

Design and Implementation of Impromptu Mobile Social Karaoke for Digital Cultural Spaces in the New Normal Era

Design and Implementation of Impromptu Mobile Social Karaoke for Digital Cultural Spaces in the New Normal Era

Efficient Multicast Algorithms in Opportunistic Mobile Social Networks using Community and Social Features

Message Transmission Scheme Based on the Detection of Interest Community in Mobile Social Networks

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