BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks

By Pan Hui, Jon Crowcroft, Eiko Yoneki. IEEE Transactions on Mobile Computing, 2008

2,219 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/a92dc3718d8ca65693f1a8c39e8b1805ef90109b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Zhili Sun
2. Guohong Cao
3. Rongxing Lu
4. Xuemin Shen
5. Marco Conti
6. Xiaodong Lin
7. Lixia Zhang
8. Qinghua Li

In Statistical and Nonlinear Physics

1. Guohong Cao
2. Qinghua Li
3. Sencun Zhu
4. Bin Xu
5. Daqing Zhang
6. Deborah Estrin
7. Wei Gao
8. Yingnan Zhu

Citations in the corpus

• MobiClique: middleware for mobile social networking (2009, background): “Several recent studies [9, 5, 3] propose to use various properties of the social graph such as node centrality and community structures to make efficient forwarding decisions.”
• Named Data Networking (NDN) Project (2010, background): “This approach is conceptually similar to emerging “social overlay” routing in a variety of networks [21, 62, 48, 63, 14, 64] where the destination of information propagation is a specific individual or content.”
• From opportunistic networks to opportunistic computing (2010, background): “• Users prefer shorter paths to longer ones [6]; that is, users usually travel over short distances and sometimes move farther away.”
• PeopleRank: Social Opportunistic Forwarding (2010, background): “In such opportunistic ad hoc networks [5], a device has to decide whether or not to forward data to an intermediate node that it encounters.”
• Routing in Delay/Disruption Tolerant Networks: A Taxonomy, Survey and Challenges (2013, background): “Although BUBBLE makes use of the distributed computation to ensure message diffusion, it requires the knowledge about the address and the social group of destination, which is unfair to the algorithms requiring only the address.”
• A Survey of Social-Based Routing in Delay Tolerant Networks: Positive and Negative Social Effects (2013, background): “[31] also relied on two social characteristics (community and centrality).”
• Cellular Traffic Offloading through WiFi Networks (2011, background): “To improve the delivery efficiency, the system can identify the social networks of the users and deliver specific contents to a particular social group [7].”
• Routing in Socially Selfish Delay Tolerant Networks (2010, methodology): “We use the same parameters as in [2], and age the delivery predictability upon every contact as done in [6].”
• SMART: A Secure Multilayer Credit-Based Incentive Scheme for Delay-Tolerant Networks (2009, background): “2020105 communicate without network infrastructure [5], [6], pocketswitched networks [7], underwater networks [8], etc.”
• Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things (2013, background): “models [17, 18], co-location patterns [19, 20], and social network structure [21] as key pieces of human behavior/context information to predict nodes’ activeness and estimate”
• Understanding user behavior in online social networks: a survey (2013, methodology): “BUB- BLE Rap [13] is a social-based forwarding method for PSNs.”
• Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber-physical convergence (2012, neutral): “Models describing the behavior of social-aware routing protocols [57,58] could shed light on which parameters of the user social behavior determine the performance of routing in opportunistic networks.”
• Multicasting in delay tolerant networks: a social network perspective (2009, methodology): “3 Comparison with other social-based schemes In this section, we compare the performance of our SDM scheme with other social-based forwarding schemes including SimBet [4] and BUBBLE Rap [9].”