DOI QR코드

DOI QR Code

Energy-efficient Joint Control of Epidemic Routing in Delay Tolerant Networks

  • Wu, Yahui (Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology) ;
  • Deng, Su (Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology) ;
  • Huang, Hongbin (Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology)
  • Received : 2012.10.03
  • Accepted : 2013.02.12
  • Published : 2013.02.28

Abstract

Due to the uncertain of connections in Delay Tolerant Networks (DTNs), most routing algorithms in DTNs need nodes to forward the message to others based on the opportunistic contact. The contact is related with the beaconing rate. In particular, nodes have more chances to encounter with each other with bigger beaconing rate, but more energy will be used. On the other hand, if the nodes forward the message to every node all the time, the efficiency of the routing algorithm is better, but it needs more energy, too. This paper tries to exploit the optimal beaconing rate and forwarding rate when the total energy is constraint. First, a theoretical framework is proposed, which can be used to evaluate the performance with different forwarding rate and beaconing rate. Then, this paper formulates a joint optimization problem based on the framework. Through Pontryagin's Maximal Principle, this paper obtains the optimal policy and proves that both the optimal forwarding and beaconing rates conform to threshold form. Simulation results show the accuracy of the theoretical framework. Extensive numerical results show that the optimal policy obtained in this paper is the best.

Keywords

References

  1. K. Fall, "A delay-tolerant network architecture for challenged internets," in Proc. of ACM SIGCOMM, pp.27-34, 2003.
  2. H G. Papastergios, I. Psaras and V. Tsaoussidis, "Deep-space transport protocol: a novel transport scheme for space DTNs," Computer Communications, vol.32, no.16, pp.1757-1767, 2009. https://doi.org/10.1016/j.comcom.2009.02.012
  3. Yahui Wu, Su Deng, and Hongbin Huang, "Information propagation through opportunistic communication in mobile social networks," ACM/Springer Mobile Networks and Applications, 2012.
  4. H. Zhu, S. Chang, M. Li, S, Naik, and X. Shen, "Exploiting temporal dependency for opportunistic forwarding in urban vehicular networks," in Proc. of IEEE INFOCOM, pp.2192-2200, 2011.
  5. F. Kargal, E. Schoch, B. Wiedersheim, and T. Leinmuller, "Secure and efficient beaconing for vehicular networks," in Proc. of ACM Conf. on Vehicular Inter-Networking, pp.82-83, 2008.
  6. Y. Li, P. Hui, D. Jin, L. Su, and L. Zeng, "Performance evaluation of routing schemes for energy-constraint delay tolerant netowrks," in Proc. of IEEE ICC, 2011.
  7. A. Vahdat and D.Becker, "Epidemic routing for partially-connected ad hoc networks," Technical Report, Duke University, 2000.
  8. M. Martonosi, "Embedded systems in the wild: ZebraNet software, hardware, and deployment experiences,". ACM SIGPLAN Notices, 2006.
  9. E. Altman, A. P. Azad, T. Basar, and F. D. Pellegrini, "Combined optimal control of activation and transmission in delay tolerant networks," IEEE/ACM Transactions on Networking, 2012.
  10. Y. Li, Z. Wang, D. Jin, L. Su, L. Zeng, and S. Chen, "Optimal beaconing control for epidemic routing in delay-tolerant networks," IEEE Transactions on Vehicular Technology, vol.61, no.1, pp.311-320, 2012. https://doi.org/10.1109/TVT.2011.2174262
  11. E. Altman, G. Neglia, F. D. Pellegrini and D. Miorandi, "Decentralized stochastic control of delay tolerant networks," in Proc. of INFOCOM, pp.1134-1142, 2009.
  12. Y. Li, Y. Jiang, D. Jin, L. Su, L. Zeng and D. Wu, "Energy-efficient optimal opportunistic forwarding for delay-tolerant networks," IEEE Transactions on Vehicular Technology, vol.59, no.9, pp.4500-4512, 2010. https://doi.org/10.1109/TVT.2010.2070521
  13. MHR. Khouzani, S. Eshghi, S. Sarkar, S. S. Venkatesh, and N. B. Shroff, "Optimal energy-aware epidemic routing in DTNs," in Proc. of ACM MobiHoc, 2012.
  14. Yahui Wu, Su Deng, and Hongbin Huang, "Optimal control of two-hop routing in DTNs with time-varying selfish behavior," KSII Transactions on Internet and Information Systems, vol.6, no.9, Sep 2012.
  15. B. J. Choi, H. Liang, X. Shen, and W. Zhuang, "DCS: distributed asynchronous clock synchronization in delay tolerant networks," IEEE Transactions on Parallel and Distributed Systems, vol.23, no.3, pp.491-504, 2012. https://doi.org/10.1109/TPDS.2011.179
  16. E. Altman, P. Nain, and J. -C. Bermond, "Distributed storage management of evolving files in delay tolerant ad hoc networks," in Proc. of IEEE INFOCOM, pp.1431-1439, 2009.
  17. S. Jain, K. Fall, and R. Patra, "Routing in a delay tolerant networks," in Proc. of ACM SIGCOMM, pp.145-158, 2004.
  18. W. Zhao, M. Ammar, and E. Zegura, "A message ferrying approach for data delivery in sparse mobile ad hoc networks," in Proc. of ACM MobiHoc, pp.187-198, 2004.
  19. Q. Yuan, I. Cardei, and J. Wu, "An efficient prediction-based routing in disruption-tolerant networks," IEEE Transactions on Parallel and Distributed Systems, vol.23, no.1, pp.19-31, 2012. https://doi.org/10.1109/TPDS.2011.140
  20. E. Day, M. Haahr, "Social network analysis for routing in disconnected delay-tolerant MANETs," in Proc. of ACM MobiHoc, pp.32-40, 2007.
  21. M. Vojnovic, A. Proutiere, "Hop limited flooding over dynamic networks," in Proc. of IEEE INFOCOM, Shanghai, China, pp. 685-693, 2011.
  22. X. Zhang, G. Neglia, J. Kurouse, and D. Towsely, "Performance modeling of epidemic routing." Computer Networks, vol.51. no.10, pp.28676-2891, 2007.
  23. R. J. Baxter, "Exactly solved models in statistical mechanics," Academic Press, 1982.
  24. R. Bakhshi, L. Cloth, W. Fokkink, and B. Haverkort, "Mean -field framework for performance evaluation of push-pull gossip protocols," Performance Evaluation, vol.68, no.2, pp.157-179, 2011. https://doi.org/10.1016/j.peva.2010.08.025
  25. M. Benaim, J.-Y. L. Boudec, "A class of mean field interaction models for computer and communication systems," Performance Evaluation, pp.823-838, 2008.
  26. Y. K. Ip, W. -C. Lau, O. -C Yue, "Performance modeling of epidemic routing with heterogeneous node types, " in Proc. of IEEE international conference on communications (ICC), pp.219-224, 2008.
  27. Y. Lin, B. Liang, B. Li, "Performance modeling of network coding in epidemic routing," in Proc. of MobiSys workshop on Mobile opportunistic networking (MobiOpp), pp.67 -74, 2007.
  28. Y. Wu, S. Deng, H. Huang, "On modeling the impact of selfish behaviors on limited epidemic routing in delay tolerant networks," Wireless Personal Communications, 2012.
  29. T. Karagiannis, L. Boudec and M. Zojnovic, "Power law and exponential decay of inter contact times between mobile devices," in Proc. of ACM MobiCom, pp.183-194, 2007.
  30. H. Cai and D. Eun, "Crossing over the bounded domain: from exponential to power-law intermeeting time in mobile ad hoc networks," IEEE/ACM Transactions on Networking, vol.17, no.5, pp.1578-1591, 2009. https://doi.org/10.1109/TNET.2008.2011734
  31. W. Gao, Q. Li, B. Zhao and G. Cao, "Multicasting in delay tolerant networks: a social network perspective," in Proc. of ACM MobiHoc, pp.299-308, 2009.
  32. H. Zhu, L. Fu, G. Xue, Y. Zhu, M. Li and M. Li, "Recognizing exponential inter-contact time in VANETs," in Proc. of INFOCOM, pp.1-5, 2010.
  33. D. Grass, J. Caulkins, G. Feichtinger, G. Tragler and D. Behrens, "Optimal control of nonlinear processes: with applications in drugs, corruption, and terror," Springer Verlag, 2008.
  34. A. Keranen, J. Ott and T. Karkkainen, "The ONE simulator for DTN protocol evaluation," in Proc. of SIMUTOOLS, 2009.
  35. C. Bettstetter and C. Wagner, "The spatial node distribution of the random waypoint mobility model," in Proc. of WMAN, pp.41-58, 2002.
  36. Shanghai Taxi Trace Data [Online], Available: http://wirelesslab.sjtu.edu.cn.
  37. P. Hui, A. Chaintreau, J. Scott, R. Gass, and J. Crowcroft, and C. Diot, "Pocket switched networks and human mobility in conference environments," in Proc of ACM SIGCOMM Workshop on Delay-Tolerant Networking, 2005.

Cited by

  1. A New Green Clustering Algorithm for Energy Efficiency in High-Density WLANs vol.8, pp.2, 2013, https://doi.org/10.3837/tiis.2014.02.001
  2. Optimal Beaconing Control in Delay-Tolerant Networks With Multiple Destinations vol.9, pp.4, 2015, https://doi.org/10.1109/jsyst.2014.2344733