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Signal power random fading based interference-aware routing for wireless sensor networks

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Abstract

Power loss and interference coexist in wireless transmissions where random uncertainty is aggravated due to the mobility of sensor nodes. A probability interference model was proposed, based on the physical model and random fading of the received signal power, to depict the uncertainty of wireless interference. In addition, an interference-aware routing metric was designed, in which interference, routing convergence and residual energies of nodes were integrated. Furthermore, an interference-aware probabilistic routing algorithm was proposed for mobile wireless sensor networks, and its correctness and time and space complexities were proved. The NS-2 simulation experiments showed that the proposed algorithm can achieve higher packet delivery ratio than Greedy Perimeter Stateless Routing in various cases like the pause time and maximum moving speed. Simultaneously, the energy consumption of a packet and average delay were taken into consideration to better meet the needs of mobile scenarios with higher reliability.

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References

  1. Rappaport, T. S. (2001). Wireless communications: Principles and practice. Upper Saddle River, NJ: Prentice Hall PTR.

    Google Scholar 

  2. Moazzez Estanjini, R., Wang, J., & Paschalidis, I. C. (2013). Scheduling mobile nodes for cooperative data transport in sensor networks. IEEE/ACM Transactions on Networking, 21(3), 974–989.

    Article  Google Scholar 

  3. Gupta, P., & Kumar, P. R. (2000). The capacity of wireless networks. IEEE Transactions on Information Theory, 46(2), 388–404.

    Article  MathSciNet  MATH  Google Scholar 

  4. Teo, J. Y., Ha, Y., & Tham, C. K. (2008). Interference-minimized multipath routing with congestion control in wireless sensor network for high-rate streaming. IEEE Transactions on Mobile Computing, 7(9), 1124–1137.

    Article  Google Scholar 

  5. Levin, L., Segal, M., & Shpungin, H. (2013). Interference-free energy efficient scheduling in wireless ad hoc networks. Ad Hoc Networks, 11(1), 201–212.

    Article  Google Scholar 

  6. Tang, J., Xue, G., Chandler, C., & Zhang, W. (2005). Interference-aware routing in multihop wireless networks using directional antennas. In Proceedings of the 24th annual joint conference of the IEEE Computer and Communications Societies (INFOCOM 2005), pp. 751–760, Miami, FL, USA.

  7. Li, Z., Li, D., & Liu, M. (2010). Interference and power constrained broadcast and multicast routing in wireless ad hoc networks using directional antennas. Computer Communications, 33(12), 1428–1439.

    Article  Google Scholar 

  8. Kandah, F., Zhang, W., Wang, C., & Li, J. (2012). Diverse path routing with interference and reusability consideration in wireless mesh networks. Mobile Networks and Applications, 17(1), 100–109.

    Article  Google Scholar 

  9. Huang, H., Hu, G., Yu, F., & Zhang, Z. (2011). Energy-aware interference-sensitive geographic routing in wireless sensor networks. IET Communications, 5(18), 2692–2702.

    Article  MathSciNet  Google Scholar 

  10. Shi, Y., Hou, Y. T., Liu, J., & Kompella, S. (2013). Bridging the gap between protocol and physical models for wireless networks. IEEE Transactions on Mobile Computing, 12(7), 1404–1416.

    Article  Google Scholar 

  11. Li, H., Wu, C., Hua, Q. S., & Lau, F. C. M. (2011). Latency-minimizing data aggregation in wireless sensor networks under physical interference model. Ad Hoc Networks. doi:10.1016/j.adhoc.2011.12.004.

  12. Lu, J., & Wang, X. (2012). Interference-aware probabilistic routing for wireless sensor networks. Tsinghua Science and Technology, 17(5), 575–585.

    Article  Google Scholar 

  13. Ji, S., He, J., Pan, Y., & Li, Y. (2013). Continuous data aggregation and capacity in probabilistic wireless sensor networks. Journal of Parallel and Distributed Computing, 73(6), 729–745.

    Article  MATH  Google Scholar 

  14. Chafekar, D., Anil Kumar, V. S., Marathe, M. V., Parthasarathy, S., & Srinivasan, A. (2011). Capacity of wireless networks under SINR interference constraints. Wireless Networks, 17(7), 1605–1624.

    Article  Google Scholar 

  15. Resta, G., & Santi, P. (2012). The fundamental limits of broadcasting in dense wireless mobile networks. Wireless Networks, 18(6), 679–695.

    Article  Google Scholar 

  16. Jain, K., Padhye, J., Padmanabhan, V. N., & Qiu, L. (2005). Impact of interference on multi-hop wireless network performance. Wireless Networks, 11(4), 471–487.

    Article  Google Scholar 

  17. Zeng, Y., Xiong, N., Park, J. H., & Yang, L. T. (2012). An interference-aware multichannel media access control protocol for wireless sensor networks. The Journal of Supercomputing, 60(3), 437–460.

    Article  Google Scholar 

  18. Namboothiri, P. G., & Sivalingam, K. M. (2013). Throughput analysis of multiple channel based wireless sensor networks. Wireless Networks, 19(4), 461–476.

    Article  Google Scholar 

  19. Zhang, X., Yu, H., Liang, W., & Zheng, M. (2011). Joint routing, scheduling, and power control for multichannel wireless sensor networks with physical interference. Journal of Control Theory and Applications, 9(1), 93–105.

    Article  MathSciNet  Google Scholar 

  20. Kan, B. Q., & Fan, J. H. (2012). Interference activity aware multi-path routing protocol. EURASIP Journal on Wireless Communications and Networking, 2012, 267–279.

    Article  Google Scholar 

  21. Camp, T., Boleng, J., & Davies, V. (2002). A survey of mobility models for ad hoc network research. Wireless Communication and Mobile Computing, 2(5), 483–502.

    Article  Google Scholar 

  22. Wang, T., & Low, C. P. (2013). Evaluating inter-arrival time in general random waypoint mobility model. Ad Hoc Networks, 11(1), 124–137.

    Article  Google Scholar 

  23. Karp, B., & Kung, H. T. (2000). GPSR: Greedy perimeter stateless routing for wireless networks. In Proceedings of the 6th annual international conference on mobile computing and networking(MobiCom 2000), pp. 243–254, Boston, MA, USA.

  24. Iyer, A., Rosenberg, C., & Karnik, A. (2009). What is the right model for wireless channel interference?. IEEE Transactions on Wireless Communications, 8(5), 2662–2671.

    Article  Google Scholar 

  25. Haenggi, M. (2005). Analysis and design of diversity schemes for ad hoc wireless networks. IEEE Journal on Selected Areas in Communications, 23(1), 19–27.

    Article  Google Scholar 

  26. Ye, F., Yim, R., Roy, S., & Zhang, J. (2011). Efficiency and reliability of one-hop broadcasting in vehicular ad hoc networks. IEEE Journal on Selected Areas in Communications, 29(1), 151–160.

    Article  Google Scholar 

  27. Xiang, Y., Liu, Z., Liu, R., Sun, W., & Wang, W. (2013). GeoSVR: A map-based stateless VANET routing. Ad Hoc Networks, 11(7), 2125–2135.

    Article  Google Scholar 

  28. Rango, F. D., Guerriero, F., & Fazio, P. (2012). Link-stability and energy aware routing protocol in distributed wireless networks. IEEE Transactions on Parallel and Distributed Systems, 23(4), 713–726.

    Article  Google Scholar 

  29. Hyytia, E., Lassila, P., & Virtamo, J. (2006). Spatial node distribution of the random waypoint mobility model with applications. IEEE Transactions on Mobile Computing, 5(6), 680–694.

    Article  Google Scholar 

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Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grants 60970054, 61173094 and 61373083, and the Fundamental Research Funds for the Central Universities of China under Grant GK201302024.

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Authors and Affiliations

  1. School of Computer Science, Shaanxi Normal University, Xi’an, 710062, China

    Junling Lu, Xiaoming Wang & Lichen Zhang

Authors
  1. Junling Lu
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  2. Xiaoming Wang
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  3. Lichen Zhang
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Corresponding author

Correspondence to Xiaoming Wang.

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Lu, J., Wang, X. & Zhang, L. Signal power random fading based interference-aware routing for wireless sensor networks. Wireless Netw 20, 1715–1727 (2014). https://doi.org/10.1007/s11276-014-0704-3

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