Abstract
Opportunistic Network as a novel networking, taking advantage of meeting opportunities of mobile nodes, completes the message transmission from the source node to the destination node through the way of each hop. Mobility model decides how the nodes move and is used to analyze network performance with various protocols, such as routing protocols, data dissemination protocols, etc. Currently many mobility models are proposed by researchers. To evaluate these mobility models, an analysis method is proposed. So we propose a method by analyzing mobile distance to assess node mobility models. This paper firstly introduced the commonly used mobility models based on ONE simulation platform, and then a calculation method of node mobile distance is put forward. Next, it was simulated and discussed that we have considered the nodes mobility features by mobile distance. Finally, we use the node contact duration and node inter-contact time as a validation, to make an evaluation for node mobility model.
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References
Hasan, Z., Boostanimehr, H., Bhargava, V.K.: Green cellular networks: a survey, some research issues and challenges. IEEE Commun. Surv. Tutor. 13(4), 524–540 (2011)
Correia, L.M., Zeller, D., Blume, O., et al.: Challenges and enabling technologies for energy aware mobile radio networks. IEEE Commun. Mag. 48(11), 66–72 (2010)
Damnjanovic, A., Montojo, J., Wei, Y., et al.: A survey on 3GPP heterogeneous networks. IEEE Wirel. Commun. 18(3), 10–21 (2011)
Zhang, N., Cheng, N., Gamage, A., Zhang, K., Mark, J.W., Shen, X.: Cloud assisted HetNets toward 5G wireless networks. IEEE Commun. Mag. 53(6), 59–65 (2015)
Ismail, M., Zhuang, W., Serpedin, E., Qaraqe, K.: A survey on green mobile networking: From the perspectives of network operatorsand mobile users. IEEE Commun. Surv. Tutor. 17(3), 1535–1556 (2014)
Andrews, J., et al.: What will 5G be? IEEE J. Sel. Areas Commun. 32(6), 1065–1082 (2013)
Zhuo, X., Gao, W., Cao, G., et al.: Win-Coupon: an incentive framework for 3G traffic offloading. In: IEEE International Conference on Network Protocols, pp. 206–215. IEEE Computer Society (2011)
Zhuo, X., Gao, W., Cao, G., et al.: An incentive framework for cellular traffic offloading. IEEE Trans. Mob. Comput. 13(3), 541–555 (2014)
Usman, M., Vastberg, A., Edler, T.: Energy efficient high capacity HETNET by offloading high QoS users through femto. In: IEEE International Conference on Networks, pp. 19–24. IEEE Computer Society (2011)
Arshad, M.W., Vastberg, A., Edler, T.: Energy efficiency gains through traffic offloading and traffic expansion in joint macro pico deployment. In: 2012 IEEE Communications and Networking Conference (WCNC), pp. 2203–2208. IEEE (2012)
Dhillon, H., Li, Y., Nuggehalli, P., Pi, Z., Andrews, J.: Fundamentals of heterogeneous cellular networks with energy harvesting. IEEE Trans Wirel. Commun. 13(5), 2782–2797 (2014)
Zhang, S., Zhang, N., Zhou, S., et al.: Energy-aware traffic offloading for green heterogeneous networks. IEEE J. Sel. Areas Commun. 34(5), 1116–1129 (2016)
Zhang, X., Zheng, Z., Shen, Q., Liu, J., Shen, X., Xie, L.: Optimizing network sustainability and efficiency in green cellular networks. IEEE Trans. Wirel. Commun. 13(2), 1129–1139 (2014)
Yang, J., Ulukus, S.: Optimal packet scheduling in an energy harvesting communication systems. IEEE Trans. Wirel. Commun. 60(1), 220–230 (2012)
Nakagawa, K.: On the series expansion for the stationary probabilities of an M/D/1 queue. J. Oper. Res. Soc. Jpn 48(2), 111–122 (2005)
Yu, P.S., Lee, J., Quek, T.Q.S., et al.: Traffic offloading in heterogeneous networks with energy harvesting personal cells - network throughput and energy efficiency. IEEE Trans. Wirel. Commun. 15(2), 1146–1161 (2016)
Wei, Y., Ren, C., Song, M., Yu, R.: The offloading model for green base stations in hybrid energy networks with multiple objectives. Int. J. Commun Syst 29(11), 1805–1816 (2016)
Acknowledgment
This work was supported by the National Natural Science Foundation of China. (No. 61372117), and the State Major Science and Technology Special Projects of China under Grant 2016ZX03001017-004.
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Wu, K., Wei, Y., Li, Q., Guo, D., Song, M. (2018). The Energy Efficiency Research of Traffic Offloading Mechanism for Green Heterogeneous Networks. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_31
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DOI: https://doi.org/10.1007/978-3-319-74521-3_31
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