Abstract
There are some important features of opportunistic networks such as mobility of nodes, randomness of information transmission and no links in transmission. These features are similar with the information transmission among human beings in social activities in which people choose the objects they need to transmit information according to the situation of information sending and receiving. Traditional methods in opportunistic networks can not receive good result in the application of social network since the neglecting of societal and subjectivity of human beings. Thus, this paper suggests a routing scheme: Optimal Cooperation Objects Selection Routing in opportunistic networks based on the features of the opportunistic network. In this scheme, dependability ratio, usability ratio and weight factor are counted as weight in the human activity topology to get the optimal cooperation objects. This scheme is proved as a better method by the simulation compare with the traditional methods in opportunistic networks.
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Wu, J. & Chen, Z. (2016). Reducing energy consumption and overhead based on mobile health in big data opportunistic networks. Wireless Personal Communications, 1–21. doi:10.1007/s11277-016-3610-4.
Wu, J. & Chen, Z. (2016). Data decision and transmission based on mobile data health records on sensor devices in wireless networks. Wireless Personal Communications, 90(4), 2073–2087. doi:10.1007/s11277-016-3438-y.
Huang, T. K., Lee, C. K., & Chen, L. J. (2010). Prophet+: An adaptive prophet-based routing protocol for opportunistic network. In 2010 24th IEEE international conference on advanced information networking and applications (AINA) (pp. 112–119). IEEE.
Yune, T. W., Kim, D., & Im, G. H. (2011). Opportunistic network-coded cooperative transmission with demodulate-and-forward protocol in wireless channels. IEEE Transactions on Communications, 59(7), 1791–1795.
Xu, M., Song, W. Z., & Zhao, Y. (2013). Collaborative data collection with opportunistic network erasure coding. IEEE Transactions on Parallel and Distributed Systems, 24(10), 1941–1950.
Chen, W., Letaief, K., & Cao, Z. (2007). Opportunistic network coding for wireless networks. In IEEE international conference on communications, 2007 (ICC’07) (pp. 4634–4639). IEEE.
Katti, S., Hu, W., Médard, M., et al. (2005). The importance of being opportunistic: Practical network coding for wireless environments. In Proceedings of the annual Allerton conference on communication control and computing.
Yomo, H., & Popovski, P. (2007). Opportunistic scheduling for wireless network coding. IEEE Transactions on Wireless Communications, 8(6), 5610–5615.
Koshiba, M. (2014). Optical waveguide theory by the finite element method. Ieice Transactions on Electronics, 97(7), 625–635.
Kou, T., Toda, T., Neubig, G., et al. (2014). A hybrid approach to electrolaryngeal speech enhancement based on noise reduction and statistical excitation generation. Ieice Transactions on Information & Systems, 92(6), 1429–1437.
Grossglauser, M., & Tse, D. N. C. (2002). Mobility increases the capacity of ad hoc wireless networks. In: IEEE/ACM transactions on networking.
Wang, G., Wang, B., & Gao, Y. (2010). Dynamic spray and wait routing algorithm with quality of node in delay tolerant network. In 2010 international conference on communications and mobile computing (CMC) (Vol. 3, pp. 452–456). IEEE.
Spyropoulos, T., Psounis, K., & Raghavendra, C. S. (2005). Spray and wait: An efficient routing scheme for intermittently connected mobile networks. In Proceedings of the 2005 ACM SIGCOMM workshop on delay-tolerant networking (pp. 252–259). ACM.
Leguay, J., Friedman, T., Conan, V. (2005). DTN routing in a mobility pattern space. In Proceedings of the 2005 ACM SIGCOMM workshop on delay-tolerant networking (pp. 276–283). ACM.
Burgess, J., Gallagher, B., Jensen, D, et al. (2006). MaxProp: Routing for vehicle-based disruption-tolerant networks. In INFOCOM (Vol. 6, pp. 1–11).
Burns, B., Brock, O., & Levine, B. N. (2008). MORA routing and capacity building in disruption-tolerant networks. Ad Hoc Netw., 6(4), 600–620.
Kavitha, V., & Altman, E. (2010). Analysis and design of message ferry routes in sensor networks using polling models. In 2010 proceedings of the 8th international symposium on modeling and optimization in mobile, ad hoc and wireless networks (WiOpt) (pp. 247–255). IEEE.
Wu, J., Chen, Z., & Yi, X. (2014). Optimal objects of cooperation selection for human activity in opportunistic networks. SmartCR, 4(2), 118–129.
Nekovee, M. (2009). Epidemic algorithms for reliable and efficient information dissemination in vehicular. Intelligent Transport Systems, 3(2), 104–110.
Ramesh, S., & Kumar, P. G. (2013). Spray and wait routing with agents in intermittently connected MANETs. Journal of Artificial Intelligence, 6, 123–133.
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This work was supported in part by the National Natural Science Foundation of China (61379057, 61309001, 61272149); Doctoral Fund of Ministry of Education of China (20120162130008); Innovation Foundation For Postgraduate (2014zzts043).
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Wu, J., Chen, Z. Human Activity Optimal Cooperation Objects Selection Routing Scheme in Opportunistic Networks Communication. Wireless Pers Commun 95, 3357–3375 (2017). https://doi.org/10.1007/s11277-017-4001-1
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DOI: https://doi.org/10.1007/s11277-017-4001-1