Effects of power conservation, wireless coverage and cooperation on data dissemination among mobile devices
By M. Papadopouli, Henning Schulzrinne. ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2001
301 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/c9210c229e7138c6015261e1fe493e64981c29a2
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
- Leonard Kleinrock
- Mario Gerla
- Uichin Lee
- Aravind Srinivasan
- Antonio Corradi
- Madhav V. Marathe
- Paolo Bellavista
- Pavan Nuggehalli
Citations in the corpus
- Supporting cooperative caching in ad hoc networks (2004, unknown): “Similar to the idea of cooperative caching, Papadopouli and Schulzrinne [15] proposed a 7DS architecture, in which a couple of protocols are defined to share and disseminate data among users that experience intermittent connectivity to the Internet.”
- Mobeyes: smart mobs for urban monitoring with a vehicular sensor network (2006, background): “Finally, even if not specifically addressing VANET deployment, it is worth considering the 7DS system, which proposes periodic advertisements to randomly mobile neighbor peers [15].”
- PeopleNet: engineering a wireless virtual social network (2005, background): “7DS [19] is a peer-to-peer resource sharing system, aimed at providing data access to wireless mobile devices.”
- Vehicular networks and the future of the mobile internet (2011, methodology): “Building upon previously proposed techniques for epidemic information dissemination in mobile ad hoc networks with pedestrian mobility [24] [35], a lightweight strategy for proactive urban monitoring is proposed in MobEyes [21].”
- MDDV: a mobility-centric data dissemination algorithm for vehicular networks (2004, background): “Studies concerning data dissemination in adhoc networks assume either that mobile nodes move randomly and any two nodes can be expected to be close to each other from time to time because they are confined in a limited area [12, 18, 26], or alternatively, slow or zero node mobility so that topology ”
- Mobile Data Offloading through Opportunistic Communications and Social Participation (2012, background): “As a result, information diffusion/dissemination has been widely studied in traditional social networks [15], [29], [41] and wireless networks [31], [36], [38] Information diffusion has been extensively investigated through viral marketing [41] and social networks [15], [29].”
- Cellular traffic offloading through opportunistic communications: a case study (2010, methodology): “7DS [26] is a peer-to-peer data dissemination and sharing system for mobile devices, aiming at increasing the data availability for users who have intermittent connectivity.”