Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 41 tok/s Pro
GPT-5 Medium 27 tok/s Pro
GPT-5 High 22 tok/s Pro
GPT-4o 84 tok/s Pro
Kimi K2 195 tok/s Pro
GPT OSS 120B 433 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

A Survey on Routing and Data Dissemination in Opportunistic Mobile Social Networks (1311.0347v5)

Published 2 Nov 2013 in cs.NI and cs.SI

Abstract: Opportunistic mobile social networks (MSNs) are modern paradigms of delay tolerant networks that consist of mobile users with social characteristics. The users in MSNs communicate with each other to share data objects. In this setting, humans are the carriers of mobile devices, hence their social features such as movement patterns, similarities, and interests can be exploited to design efficient data forwarding algorithms. In this paper, an overview of routing and data dissemination issues in the context of opportunistic MSNs is presented, with focus on (1) MSN characteristics, (2) human mobility models, (3) dynamic community detection methods, and (4) routing and data dissemination protocols. Firstly, characteristics of MSNs which lead to the exposure of patterns of interaction among mobile users are examined. Secondly, properties of human mobility models are discussed and recently proposed mobility models are surveyed. Thirdly, community detection and evolution analysis algorithms are investigated. Then, a comparative review of state-of-the-art routing and data dissemination algorithms for MSNs is presented, with special attention paid to critical issues like context-awareness and user selfishness. Based on the literature review, some important open issues are finally discussed.

Citations (37)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube