ABSTRACT
Abstract movement models, such as Random Waypoint, do not capture reliably the properties of movement in the real life scenarios. We present and analyse a movement model for delay-tolerant network simulations that is able to produce inter-contact time and contact time distributions that follow closely the ones found in the traces from the real-world measurement experiments. We validate the movement model using the ONE simulator.
- Cai, H., and Eun, D. Y. Crossing over the bounded domain: from exponential to power-law inter-meeting time in manet. In MOBICOM (2007), E. Kranakis, J. C. Hou, and R. Ramanathan, Eds., ACM, pp. 159--170. Google ScholarDigital Library
- Camp, T., Boleng, J., and Davies, V. A survey of mobility models for ad hoc network research. Wireless Communications and Mobile Computing 2, 5 (2002), 483--502.Google ScholarCross Ref
- Chaintreau, A., Hui, P., Crowcroft, J., Diot, C., Gass, R., and Scott, J. Pocket switched networks: Real-world mobility and its consequences for opportunistic forwarding. Tech. Rep. UCAM-CL-TR-617, University of Cambridge, Computer Laboratory, Feb. 2005.Google Scholar
- Chaintreau, A., Hui, P., Crowcroft, J., Diot, C., Gass, R., and Scott, J. Impact of human mobility on the design of opportunistic forwarding algorithms. In Proc. INFOCOM'06 (2006).Google ScholarCross Ref
- Habetha, J., Nadler, M., and Calvo, d. Dynamic clustering with quality of service guarantees and forwarder selection in wireless ad hoc networks. In Proc. Asia Pacific Conference on Communications (Seoul, Korea, Nov. 2000).Google Scholar
- Hog, X., Gerla, M., Pei, G., and Chiang, C.-C. A group mobility model for ad hoc wireless networks. In Proc. ACM/IEEE MSWiM '99 (Seattle, WA, Aug. 1999). Google ScholarDigital Library
- jen Hsu, W., and Helmy, A. IMPACT: Investigation of mobile-user patterns across university campuses using WLAN trace analysis. CoRR abs/cs/0508009 (2005). informal publication.Google Scholar
- jen Hsu, W., Spyropoulos, T., Psounis, K., and Helmy, A. Modeling time-variant user mobility in wireless mobile networks. In Proc. INFOCOM'07 (2007), pp. 758--766.Google ScholarDigital Library
- Johnson, D. B., and Maltz, D. A. Dynamic source routing in ad hoc wireless networks. In Mobile Computing, Imielinski and Korth, Eds., vol. 353. Kluwer Academic Publishers, 1996.Google Scholar
- Karagiannis, T., Boudec, J.-Y. L., and Vojnovic, M. Power law and exponential decay of inter contact times between mobile devices. In Proc. MOBICOM'07 (2007), E. Kranakis, J. C. Hou, and R. Ramanathan, Eds., pp. 183--194. Google ScholarDigital Library
- Keränen, A., and Ott, J. Increasing reality for DTN protocol simulations. Technical Report, Helsinki University of Technology, Networking Laboratory, July 2007.Google Scholar
- Kim, M., Kotz, D., and Kim, S. Extracting a mobility model from real user traces. In Proc. INFOCOM'06 (2006).Google ScholarCross Ref
- Minder, D., Marrón, P. J., Lachenmann, A., and Rothermel, K. Experimental construction of a meeting model for smart office environments. In Proc. First Workshop on Real-World Wireless Sensor Networks (REALWSN 2005), SICS Technical Report T2005:09 (June 2005).Google Scholar
- Musolesi, M., and Mascolo, C. A community based mobility model for ad hoc network research. In Proc. 2nd ACM/SIGMOBILE International Workshop on Multi-hop Ad Hoc Networks: from theory to reality (REALMAN'06) (May 2006). Google ScholarDigital Library
- Rhee, I., Shin, M., Hong, S., Lee, K., and Chong, S. On the Levy-walk nature of human mobility: Do humans walk like monkeys? Technical Report, North Carolina State University, 2007.Google Scholar
- Scott, J., Gass, R., Crowcroft, J., Hui, P., Diot, C., and Chaintreau, A. CRAWDAD trace cambridge/haggle/imote/infocom (v. 2006-01-31). Downloaded from http://crawdad.cs.dartmouth.edu/cambridge/haggle/imote/infocom, Jan. 2006.Google Scholar
- Song, L., and Kotz, D. F. Evaluating opportunistic routing protocols with large realistic contact traces. In Proc. CHANTS'07 (New York, NY, USA, 2007), pp. 35--42. Google ScholarDigital Library
- Wang, W., Srinivasan, V., and Motani, M. Adaptive contact probing mechanisms for delay tolerant applications. In MOBICOM (2007), E. Kranakis, J. C. Hou, and R. Ramanathan, Eds., ACM, pp. 230--241. Google ScholarDigital Library
Index Terms
- Working day movement model
Recommendations
An advanced taxi movement model in the working day movement for delay-tolerant networks
Vehicle safety communications is an important technology for preventing automobile accidents. The number of neighbor nodes is important in the automobile industry, which is becoming increasingly more customer-oriented. The Opportunistic Network ...
Performance analysis of certain topology based routing protocols of mobile ad hoc network
RACS '12: Proceedings of the 2012 ACM Research in Applied Computation SymposiumMobile Ad hoc Networks are self-organizing and self-configuring multi hop wireless networks where, the structure of the network changes dynamically due to nodes mobility. A routing protocol for ad hoc network should be designed to adapt to changing ...
Understanding the wireless and mobile network space: a routing-centered classification
CHANTS '07: Proceedings of the second ACM workshop on Challenged networksResearch into wireless data networks with mobile nodes has mostly considered Mobile Ad Hoc Networks (or MANETs). In such networks, it is generally assumed that end-to-end, possibly multi-hop paths between node pairs exist most of the time. Routing ...
Comments