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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Narmawala, Z., Srivastava, S.: Improved heterogeneous human walk mobility model with hub and gateway identification. In: Chatterjee, M., Cao, J.-n., Kothapalli, K., Rajsbaum, S. (eds.) ICDCN 2014. LNCS, vol. 8314, pp. 469–483. Springer, Heidelberg (2014)
Zhen, W., Xin-hua, W., Jing-qi, S.: Extending research for ONE simulator of opportunistic network. Appl. Res. Comput. 29(1), 272–277 (2012)
Wu, F., Chen, T., Zhong, S., et a1.: A bargaining—based approach for incentive-compatible message forwarding in opportunistic networks. In: IEEE International Conference on Communications (ICC), pp. 789–793 (2012)
Gang, C., Yun-yong, Z., Yong, Z., Mei, S.: Period dividing opportunistic networks mobility model based on human realistic scenarios. J. Commun. (JOC) 34(Z1), 182–189 (2013)
Rhee, I., Shin, M., Hong, S., Lee, K., Kim, S.J., Chong, S.: On the levy-walk nature of human mobility. IEEE/ACM Trans. Netw. (TON) 19(3), 630–643 (2011)
Chaintreau, A., Hui, P., Crowcroft, J., Diot, C., Gass, R., Scott, J.: Impact of human mobility on opportunistic forwarding algorithms. IEEE Trans. Mob. Comput. 6(6), 606–620 (2007)
Karagiannis, T., Boudec, J.Y.L., Vojnovic, M.: Power law and exponential decay of inter-contact times between mobile devices. Microsoft Research, pp. 1377–1390 (2007)
Hui, P., Crowcroft, J., Yoneki, E.: Bubble rap: Social-based forwarding in delay tolerant networks. IEEE Trans. Mob. Comput. 10(11), 1576–1589 (2011)
Acknowledgements
The authors would like to thank the reviewers for their detailed reviews and constructive comments, which have helped improve the quality of this paper. This work is supported by the National Natural Science Foundation of China under Grant No.61372117 and No.61171097.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Li, R., Zhang, Y., Guo, D., Chen, Z., Hou, C. (2016). Investigation on Mobility Model in Opportunistic Network. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-31854-7_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31853-0
Online ISBN: 978-3-319-31854-7
eBook Packages: Computer ScienceComputer Science (R0)