In: Proceedings of the 2010 ACM International Conference on Pervasive Services (2010) Kiukkonen, N., Blom, J., Dousse, O., Gatica-Perez, D., Laurila, J.: Towards rich mobile phone datasets: Lausanne data collection campaign. In: Proceedings of the 2nd International Conference on Simulation Tools and Techniques, SIMUTools ’09.
CHITCHAT IN SIMULATOR
Keränen, A., Ott, J., Kärkkäinen, T.: The ONE Simulator for DTN Protocol Evaluation. In: Proceedings of the 2006 International Conference on Wireless Communications and Mobile Computing, IWCMC ’06, pp. Jindal, A., Psounis, K.: Performance analysis of epidemic routing under contention. In: 2018 19th IEEE International Conference on Mobile Data Management (MDM), pp. Jethawa, H., Madria, S.: Reputation and credit based incentive mechanism for data-centric message delivery in DTNS. In: Proceedings of the 2004 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, SIGCOMM ’04, pp. Jain, S., Fall, K., Patra, R.: Routing in a delay tolerant network. Hui, P., Crowcroft, J., Yoneki, E.: Bubble rap: social-based forwarding in delay-tolerant networks. Guo, H., Wang, X., Cheng, H., Huang, M.: A location aided controlled spraying routing algorithm for delay tolerant networks. Gao, W., Cao, G., La Porta, T., Han, J.: On exploiting transient social contact patterns for data forwarding in delay-tolerant networks. 93–102 (2018)Įagle, N., Pentland, A.S., Lazer, D.: Inferring friendship network structure by using mobile phone data. In: 2018 IEEE 37th Symposium on Reliable Distributed Systems (SRDS), pp.
ACMĭatta, S., Madria, S., Milligan, J., Linderman, M.: Secure information forwarding through fragmentation in delay-tolerant networks. In: Proceedings of the 8th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc ’07, pp. 15(1), 151–165 (2018)ĭaly, E.M., Haahr, M.: Social network analysis for routing in disconnected delay-tolerant manets. 27(5), 387–408 (2012)Ĭho, J., Chen, I.: Provest: provenance-based trust model for delay tolerant networks. 19(8), 1979–1993 (2013)Ĭasteigts, A., Flocchini, P., Quattrociocchi, W., Santoro, N.: Time-varying graphs and dynamic networks. 81–89 (2018)Ĭabaniss, R., Vulli, S.S., Madria, S.: Social group detection based routing in delay tolerant networks. In: IEEE INFOCOM 2018-IEEE Conference on Computer Communications, pp. 734, 1–74 (2018)īedogni, L., Fiore, M., Glacet, C.: Temporal reachability in vehicular networks.
30(2), 46–53 (2016)īarbosa, H., Barthelemy, M., Ghoshal, G., James, C.R., Lenormand, M., Louail, T., Menezes, R., Ramasco, J.J., Simini, F., Tomasini, M.: Human mobility: models and applications. Through simulations using the two highest-sparsity real-world datasets, ChitChat is capable of achieving more successful deliveries against three recent state-of-the-art DTN routing schemes while incurring lower costs against flooding.Ībdelkader, T., Naik, K., Nayak, A., Goel, N., Srivastava, V.: A performance comparison of delay-tolerant network routing protocols.
An analysis of network sparsity is conducted against five real-world datasets. In turn, this information is used to make distributed routing decisions based on the likelihood an encountered node will connect with others capable of successfully delivering a message. ChitChat is a hybrid geographic/data-centric routing system designed to exploit each user’s social (or mission) interests to opportunistically learn of multi-hop paths through the network, and to derive the social semantics of geographic locations using user travel itineraries and multi-hop social relationships. In this paper, a novel social-context based message routing system, called ChitChat, is proposed with the focus on message delivery through sparsely-connected DTNs. One persistent challenge for DTNs is achieving sufficient message delivery due to the dynamic, unpredictable, and opportunistic nature of inter-device connections this challenge is exacerbated when such connections are sparsely available. DTNs also provide opportunities for various other interesting applications such as location-based social networking, interests-based data dissemination, and geolocal advertising. This type of network is useful in a variety of applications where other form of network communication strategies are unavailable, such as an on-the-ground tactical military network in an active battlefield or an emergency network formed immediately after a catastrophic disaster.
CHITCHAT IN PORTABLE
Delay tolerant networks (DTNs) have garnered much interest with the wide-spread adoption of portable smart devices capable of wirelessly connecting with one another, thus enabling the formation of a network for opportunistic data dissemination.
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