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Multiconstrained QoS multipath routing in wireless sensor networks

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Abstract

Sensor nodes are densely deployed to accomplish various applications because of the inexpensive cost and small size. Depending on different applications, the traffic in the wireless sensor networks may be mixed with time-sensitive packets and reliability-demanding packets. Therefore, QoS routing is an important issue in wireless sensor networks. Our goal is to provide soft-QoS to different packets as path information is not readily available in wireless networks. In this paper, we utilize the multiple paths between the source and sink pairs for QoS provisioning. Unlike E2E QoS schemes, soft-QoS mapped into links on a path is provided based on local link state information. By the estimation and approximation of path quality, traditional NP-complete QoS problem can be transformed to a modest problem. The idea is to formulate the optimization problem as a probabilistic programming, then based on some approximation technique, we convert it into a deterministic linear programming, which is much easier and convenient to solve. More importantly, the resulting solution is also one to the original probabilistic programming. Simulation results demonstrate the effectiveness of our approach.

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References

  1. P.V. Mieghem and F.A. Kuipers, On the complexity of QoS routing, Computer Communications 26(4) (2003) 376–387.

    Article  Google Scholar 

  2. S. Chen and K. Nahrstedt, Distributed quality-of-service routing in ad hoc networks, IEEE Journal on Selected Areas in Communications 17(8) (August 1999).

  3. P.V. Mieghem and F.A. Kuipers, Concepts of exact QoS routing algorithms, IEEE/ACM Trans. on Networking 12(5) (October 2004) 851–864.

    Google Scholar 

  4. S. Chen and K. Nahrstedt, An overview of quality-of-service routing for the next generation high speed networks: problems and solutions, IEEE Network, Special Issue on Transmission and Distribution of Digital Video 12(6) (November/December 1998) 64–79.

    Google Scholar 

  5. A. Tsirigos and Z.J. Hass, Analysis of multipath routing, part 2: mitigation of the effects of frequently changing network topologies, IEEE Trans. on Wireless Communications 3(2) (March 2004) 500–511.

    Article  Google Scholar 

  6. G. Liu and K.G. Ramakrushnam, A*Prune: an algorithm for finding K shortest paths subject to multiple constraints, IEEE INFOCOM 2001 2 (April 2001) 743–749.

    Google Scholar 

  7. T. Korkmaz and M. Krunz, Multi-constrained optimal path selection, IEEE INFOCOM 2001 2 (April 2001) 834–843.

    Google Scholar 

  8. X. Yuan, Heuristic algorithms for multiconstrained quality-of-service routing, IEEE/ACM Trans. on Networking 10(2) (April 2002) 244–256.

    Google Scholar 

  9. P. Khadivi, S. Samavi, T.D. Todd and H. Saidi, Multi-constraint QoS routing using a new single mixed metric, 2004 IEEE Intl. Conference on Communications 4 (June 2004) 2042–2046.

  10. W. Xiao, Y. Luo, B.H. Soong, A. Xu, C.L. Law and K.V. Ling, An efficient heuristic algorithm for multi-constrained path problems, Vehicular Technology Conference 2002 3 (September 2002) 24–28.

  11. J.M. Jaffe, Algorithms for finding paths with multiple constraints, Networks 14 (Spring 1984) 95–116.

    Article  MathSciNet  MATH  Google Scholar 

  12. H.D. Neve and P.V. Mieghem, A multiple quality of service routing algorithm for PNNI, in: Proceedings Of the ATM workshop IEEE (May 1998) pp. 324–328.

  13. D. Bhatnagar, B. Deb and B. Nath, Service differentiation in sensor networks, Fourth International Symposium on Wireless Personal Multimedia Communications (September 2001).

  14. T.F. Znati and R. Melhem, Node delay assignment strategies to support end-to-end requirement in heterogeneous networks, IEEE/ACM Trans. on Networking 12(5) (October 2004) 879–892.

    Google Scholar 

  15. B. Deb, S. Bhatnagar and B. Nath, ReInForM: Reliable information forwarding using multiple paths in sensor networks, Local Computer Networks 2003, In: Proceedings. 28th Annual IEEE International Conference on (October 2003) pp. 406–415.

  16. T. Korkmaz and M. Krunz, Bandwidth-delay constrained path selection under inaccurate state information, IEEE/ACM Trans. on Networking 11(3) (June 2003) 384–398.

    Google Scholar 

  17. Y. Xiao and K. Thulasiraman, Approximation and heuristic algorithms for delay constrained path selection under inaccurate state information, In: Proceedings of the First Intl. Conf. on Quality of Service in Heterogenenous Wired/Wireless Networks(QSHINE’04) (October 2004) pp. 130–137.

  18. S. Bhatnagar, B. Deb and B. Nath, Service differentiation in sensor networks, Fourth Intl. Symposium on Wireless Personal Multimedia Communications (September 2001).

  19. S.R. Das, A. Mukherjee, B. Bandyopadhyay, K. Paul and D. Saha, Improving quality-of-service in ad hoc wireless networks with adaptive multi-path routing, IEEE Globecom 2000 1 (November 2000) 261–265.

    Google Scholar 

  20. K. Akkaya and M. Younis, An energy-aware QoS routing protocol for wireless sensor networks, Distributed Computing Systems Workshops in: Proceedings. 23rd Intl. Conference on (May 2003) pp. 710–715.

  21. D. Raz and Y. Shavitt, Optimal partition of QoS requirements with discrete cost functions, IEEE Journal on selected areas in communications 18(12) (December 2000) 2593–2602.

    Article  Google Scholar 

  22. S. Wang, D. Xuan, R. Bettati and W. Zhao, Providing absolute differentiated services for real-time applications in static-priority scheduling networks, IEEE/ACM Trans. on Networking 12(2) (April 2004) 326–339.

    Google Scholar 

  23. M.S. Bazaraa, J.J. Jarvis and H.D. Sherali, Linear Programming and Network Flows, Third Edition (December 2004).

  24. J.R. Birge and F. Louveaux, Introduction to stochastic programming (1997).

  25. A. Orda and A. Sprintson, Efficient algorithm for computing disjoint QoS paths, IEEE INFOCOM 2004 1 (March 2004) 727–738.

    Article  Google Scholar 

  26. N. Ota, D. Hooks, P. Wright, D. Ausiander and T. Peffer, Poster abstract: wireless sensor networks characterization-application to demand response energy pricing, ACM SenSys’03 (November 2003) pp. 334–335.

  27. J. Zhao and R. Govindan, Understanding packet delivery performance in dense wireless sensor networks, ACM SenSys’03 (November 2003) pp. 1–13.

  28. A. Woo, T. Tong and D. Culler, Taming the underlying challenges of reliable multihop routing in sensor networks, ACM SenSys’03 (November 2003) pp. 14–27.

  29. D. Ganesan, R. Govindan, S. Shenker and D. Estrin, Highly-resilient, energy-efficient multipath routing in wireless sensor networks, Mobile Computing and Communications Review(MC2R) 1(2) (2002).

  30. E. Felemban, C.G. Lee, R. Boder and S. Vural, Probabilistic QoS guarantee in reliability and timeliness domains in wireless sensor networks, Proceedings of IEEE INFOCOM 2005 (March 2005).

  31. http://pcl.cs.ucla.edu/projects/parsec/.

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Correspondence to Yuguang Fang.

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This work was supported in part by the U.S. National Science Foundation under grant DBI-0529012, the National Science Foundation Faculty Early Career Development Award under grant ANI-0093241 and the Office of Naval Research under Young Investigator Award N000140210464.

Xiaoxia Huang received her BS and MS in the Electrical Engineering from Huazhong University of Science and Technology in 2000 and 2002, respectively. She is completing her Ph.D. degree in the Department of Electrical and Computer Engineering at the University of Florida. Her research interests include mobile computing, QoS and routing in wireless ad hoc networks and wireless sensor networks.

Yuguang Fang received a Ph.D. degree in Systems Engineering from Case Western Reserve University in January 1994 and a Ph.D degree in Electrical Engineering from Boston University in May 1997. He was an assistant professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology from July 1998 to May 2000. He then joined the Department of Electrical and Computer Engineering at University of Florida in May 2000 as an assistant professor, got an early promotion to an associate professor with tenure in August 2003 and to a full professor in August 2005. He holds a University of Florida Research Foundation (UFRF) Professorship from 2006 to 2009. He has published over 200 papers in refereed professional journals and conferences. He received the National Science Foundation Faculty Early Career Award in 2001 and the Office of Naval Research Young Investigator Award in 2002. He has served on several editorial boards of technical journals including IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing and ACM Wireless Networks. He have also been activitely participating in professional conference organizations such as serving as The Steering Committee Co-Chair for QShine, the Technical Program Vice-Chair for IEEE INFOCOM’2005, Technical Program Symposium Co-Chair for IEEE Globecom’2004, and a member of Technical Program Committee for IEEE INFOCOM (1998, 2000, 2003–2007).

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Huang, X., Fang, Y. Multiconstrained QoS multipath routing in wireless sensor networks. Wireless Netw 14, 465–478 (2008). https://doi.org/10.1007/s11276-006-0731-9

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