Social-Aware Data Diffusion in Delay Tolerant MANETs

Zhang, Yang; Gao, Wei; Porta, Thomas La; Krishnamachari, Bhaskar; Iyengar, Arun

doi:10.1007/978-1-4614-0857-4_15

Cited by 25 publications

(9 citation statements)

References 30 publications

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“…Hence, the node with a greater utility for a particular interest than the node carrying the current message will get copies based on the content-matching approach. Zhang et al [141] studied a data diffusion problem aimed at diffusing data messages to all moving nodes. Thus, any node that has an interest in getting these data can easily receive them either from stranger nodes or corresponding friend nodes.…”

Section: B Data Distribution Approachesmentioning

confidence: 99%

Socially-aware congestion control in ad-hoc networks: Current status and the way forward

Liaqat

Ali

Qadir

et al. 2019

Future Generation Computer Systems

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Ad-hoc social networks (ASNETs) represent a special type of traditional ad-hoc network in which a user's social properties (such as the social connections and communications metadata as well as application data) are leveraged for offering enhanced services in a distributed infrastructureless environments. However, the wireless medium, due to limited bandwidth, can easily suffer from the problem of congestion when social metadata and application data are exchanged among nodes-a problem that is compounded by the fact that some nodes may act selfishly and not share its resources. While a number of congestion control schemes have been proposed for the traditional ad-hoc networks, there has been limited focus on incorporating social awareness into congestion control schemes. We revisit the existing traditional ad-hoc congestion control and data distribution protocols and motivate the need for embedding social awareness into these protocols to improve performance. We report that although some work is available in opportunistic network that uses sociallyaware techniques to control the congestion issue, this area is largely unexplored and warrants more research attention. In this regards, we highlight the current research progress and identify multiple future directions of research.

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Section: B Data Distribution Approachesmentioning

confidence: 99%

Socially-aware congestion control in ad-hoc networks: Current status and the way forward

Liaqat

Ali

Qadir

et al. 2019

Future Generation Computer Systems

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“…In cloud, this is because the multiple private agent threads can be maintain efficiently and dynamically based on the time varying of user demands. Social network service ( SNS ) is one of the most popular service in cloud computing which proposes to improve quality of content delivery [23] [24]. In this service user may comment, share, repost videos between the friend and member of same group in which user may watch the videos that his/her friend have recommended.…”

Section: Disadvantagesmentioning

confidence: 99%

Review on AMES-Cloud Using Preservation, Fetching and Decisive Video Streaming Over Cloud Computing

Krishnarao¹

2015

IJRITCC

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Abstract-The video traffic demands are increasing over a mobile network through wireless link cannot corporate with the demand of video traffics. The increasing traffic demand is accounted by video streaming and downloading. Hence, there is a gap between link capacity and traffic demands along with the time varying condition which is result in the poor quality of video streaming service over a mobile network such as sending long buffering time and intermittent disruptions due to limited bandwidth and link condition. By leveraging cloud computing technology, we propose a new mobile video streaming framework which has two main parts : Efficient social video sharing and Adaptive mobile video streaming which built a private agent which provides video streaming service for each mobile user in the network efficiently. To demonstrate its performance we implement a prototype of AMES-Cloud framework. Thus, it is crucial to improve the video quality service of streaming while using the computing resource and networking efficiently and also provides preservation over cloud computing.

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“…The authors concentrate on node interest such that the utility is calculated with a node interest metric and a data description metric. SADD [21] is a routing protocol similar to user centric, with the absence of pub/sub paradigm.…”

Section: Related Workmentioning

confidence: 99%

Landmark-Centric Routing for Wireless Sensor Networks in Mobile Delay Tolerant Environments

Chen

Tang

et al. 2014

International Journal of Distributed Sensor Networks

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Wireless sensor networks (WSNs) have wide applications in many fields sharing common grounds as their major technical challenges. This paper focuses on a high-level information association issue and designs an efficient routing protocol accordingly for delay tolerant mobile sensor networks (DTMSNs). In this paper, after making an analysis about the effect of social network theory on forwarding scheme and node mobility, we exploit landmark, a new social-aware metric indicating the geographical location corresponding to a node interest or a node community. To the best of our knowledge, this is the first work in which landmark is utilized to assist message forwarding in DTMSNs. Additionally, we propose the landmark-centric routing protocol utilizing the metric to accurately predict node mobility geographically. We can take full advantage of node mobility in our protocol while preserving the positive effects of existing social-aware metrics on protocol performance. Simulation results show that the proposed protocol achieves the highest packet delivery ratio outperforming SocialCast and doubling SGBR with more than 50% delivery cost reducing.

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Social-Aware Data Diffusion in Delay Tolerant MANETs

Cited by 25 publications

References 30 publications

Socially-aware congestion control in ad-hoc networks: Current status and the way forward

Socially-aware congestion control in ad-hoc networks: Current status and the way forward

Review on AMES-Cloud Using Preservation, Fetching and Decisive Video Streaming Over Cloud Computing

Landmark-Centric Routing for Wireless Sensor Networks in Mobile Delay Tolerant Environments

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