Comprehensive event based estimation of sensor node distribution strategies using classical flooding routing protocol in wireless sensor networks (original) (raw)

References

  1. Romer, K., & Mattern, F. (2004). The design space of wireless sensor networks. IEEE Wireless Communications, 11(6), 54–61.
    Article Google Scholar
  2. Clouqueur, T., Saluja, K. K., & Ramanathan, P. (2004). Fault tolerance in collaborative sensor networks for target detection. IEEE Transactions on Computers, 53, 320–333.
    Article Google Scholar
  3. Phipatanasuphorn, V., & Ramanathan, P. (2004). Vulnerability of sensor networks to unauthorized traversal and monitoring. IEEE Transactions on Computers, 53(3), 364–369.
    Article Google Scholar
  4. Haas, Z. J., & Small, T. (2006). A new networking model for biological applications of ad hoc sensor networks. IEEE/ACM Transactions on Networking, 14(1), 27–40.
    Article Google Scholar
  5. Brooks, R. R., Ramanathan, P., & Sayeed, A. A. (2003). Distributed target classification and tracking in sensor networks. Proceedings of the IEEE, 91, 1163–1171.
    Article Google Scholar
  6. Qi, H., Xu, Y., & Wang, X. (2003). Mobile-agent-based collaborative signal and information processing in sensor networks. Proceedings of the IEEE, 91, 1172–1183.
    Article Google Scholar
  7. Estrin, D., & Cerpa, A. (2004). ASCENT: Adaptive self-configurable sensor networks topologies. IEEE Transactions on Mobile Computing, 3(3), 272–285.
    Article Google Scholar
  8. Chen, B., Jamieson, K., Balakrishnan, H., & Morris, R. (2001). Span: An energy-efficient co-ordination algorithm for topology maintenance in ad hoc wireless networks. In Proc. ACM/IEEE Int’l conference mobile computing and networking, pp. 85–96.
  9. Yen, Y. S., et al. (2011). Flooding-limited and multi-constrained QoS multicast routing based on the genetic algorithm for MANETs. Mathematical and Computer Modelling, 53(11), 2238–2250.
    Article Google Scholar
  10. Liu, Y., et al. (2010). Multi-layer clustering routing algorithm for wireless vehicular sensor networks. IET Communications, 4(7), 810–816.
    Article Google Scholar
  11. Cheng, H., et al. (2012). Nodes organization for channel assignment with topology preservation in multi-radio wireless mesh networks. Ad Hoc Networks, 10(5), 760–773.
    Article Google Scholar
  12. Li, P., et al. (2012). CodePipe: An opportunistic feeding and routing protocol for reliable multicast with pipelined network coding. In INFOCOM, Proceedings IEEE, pp. 100–108.
  13. Zeng, Y., et al. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173.
    Article Google Scholar
  14. Busch, C., et al. (2012). Approximating congestion + dilation in networks via “Quality of Routing” games. IEEE Transactions on Computers, 61(9), 1270–1283.
    Article MathSciNet Google Scholar
  15. Spyropoulos, T., et al. (2010). Routing for disruption tolerant networks: Taxonomy and design. Wireless Networks, 16(8), 2349–2370.
    Article Google Scholar
  16. Li, M., et al. (2013). A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues. Proceedings of the IEEE, 101(12), 2538–2557.
    Article Google Scholar
  17. Xiang, L., et al. (2011). Compressed data aggregation for energy efficient wireless sensor networks. In IEEE SECON 2011.
  18. Youssef, M., et al. (2014). Routing metrics of cognitive radio networks: A survey. IEEE Communications Surveys and Tutorials, 16(1), 92–109.
    Article Google Scholar
  19. Yang, X., et al. (2012). Tight performance bounds of multihop fair access for MAC Protocols in wireless sensor networks and underwater sensor networks. IEEE Transaction on Mobile Computing, 11(10), 1538–1554.
    Article Google Scholar
  20. Wang, X., et al. (2012). A survey of green mobile networks: Opportunities and challenges. MONET, 17(1), 4–20.
    Google Scholar
  21. Chilamkurti, N., et al. (2009). Cross-layer support for energy efficient routing in wireless sensor networks. Journal of Sensors, 2009, 1–9.
  22. Normal distribution. http://www.en.wikipedia.org/wiki/Normal_distribution.
  23. Luo, Z. (2013). Parameter estimation in wireless sensor networks with normally distributed sensor gains. International Journal of Soft Computing and Engineering (IJSCE), 2(6). ISSN: 2231-2307.
  24. Gamma distribution. http://www.en.wikipedia.org/wiki/Gamma_distribution.
  25. Smith, S. G., Skalski, J. R., Schlechte, J. W., Hoffmann, A., & Cassen, V. (1994). Statistical survival analysis of fish and wildlife tagging studies SURPH.1. Center for Quantitative Science School of Fisheries University of Washington, December 1994.
  26. Ali, N. A., Eljasmy, A., & Shuaib, K. (2008). Measured delay distribution in a wireless mesh network test-bed. IEEE/ACS international conference on computer systems and applications, pp. 236–240, AICCSA, March 31–April 4 2008.
  27. Exponential distribution. http://www.en.wikipedia.org/wiki/Exponential_distribution.
  28. Pathak, A., & Lobiyal, D. K. (2012). Maximization the lifetime of wireless sensor network by minimizing energy hole problem with exponential node distribution and hybrid routing. Engineering and Systems (SCES), 2012 Students Conference on. IEEE, 2012.
  29. Pathak, A., et al. (2012). Improvement of lifetime of wireless sensor network by jointly effort of exponential node distribution and mixed routing. Communication Systems and Network Technologies (CSNT), 2012 International Conference on. IEEE, 2012.
  30. Beta distribution. http://www.en.wikipedia.org/wiki/Beta_distribution.
  31. Momani, M., & Challa, S. (2010). Probabilistic modelling and recursive bayesian estimation of trust in wireless sensor networks. In Bayesian networks (pp. 381–403). Croatia: Sciyo.
  32. Folks, J. L., & Chhikara, R. S. (1978). The inverse Gaussian distribution and its statistical application—a review. Journal of the Royal Statistical Society of Great Britain, 40, 263–289.
    MathSciNet MATH Google Scholar
  33. Takagi, K., Kumagai, S., Matsunagaf, I., & Kusakaj, Y. (1997). Application of inverse Gaussian distribution to occupational exposure data. British Occupational Hygiene Society, 41(5), 505–514.
    Article Google Scholar
  34. Trigui, I., Laourine, A., Affes, S., & Stéphenne, A. (2012). The inverse Gaussian distribution in wireless channels: Second order statistics and channel capacity. IEEE Transactions on Communications, 60(11), 3167–3173.
    Article Google Scholar
  35. Poisson distribution. http://en.wikipedia.org/wiki/Poisson_distribution.
  36. Song, L., & Hatzinakos, D. (2006). Cooperative transmission in poisson distributed wireless sensor networks: Protocol and outage probability. IEEE Transactions on Wireless Communications, 5(10), 2834–2843.
  37. Dargie, W., et al. (2009). A topology control protocol for 2D Poisson distributed wireless sensor networks. IEEE international conference on advanced information networking and applications workshops, WAINA’09.
  38. Cauchy distribution. http://en.wikipedia.org/wiki/Cauchy_distribution.
  39. Heinzelman, W. R., Kulik, J., & Balakrishnan, H. (1999). Adaptive protocols for information dissemination in wireless sensor networks. In Proceedings of the fifth annual ACM/IEEE international conference on mobile computing and networking (MobiCom ‘99), Seattle, Washington, August 15–20, pp. 174–185.
  40. Ni, S.-Y., Tseng, Y.-C., Chen, Y.-S., & Sheu, J.-P. (1999). The broadcast storm problem in a mobile ad hoc network. In Proceedings of the 5th annual ACM/IEEE international conference on mobile computing and networking, ser. MobiCom ’99, pp. 151–162.
  41. Maróti, M., Kusy, B., Simon, G., & L´edeczi, A. (2004). The flooding time synchronization protocol. In SenSys ’04: Proceedings of the 2nd international conference on embedded networked sensor systems, pp. 39–49.
  42. SnetSim Simulator Software Package. http://www.naval-academy.ab-archive.net/software/snetsim.html.
  43. Carrillo, R. E., Aysal, T. C., & Barner, K. E. (2010). A generalized cauchy distribution frame work for problems requiring robust behavior. EURASIP Journal on Advances in Signal Processing, 2010, 1–19.
  44. Durresi, A., Paruchuri, V. K., Iyengar, S. S., & Kannan, R. (2005). Optimized broadcast protocol for sensor networks. IEEE Transaction on Computers, 54, 1013–1024.
    Article Google Scholar
  45. Sabbineni, H., & Chakrabarty, K. (2005). Location-aided flooding: An energy-efficient data dissemination protocol for wireless-sensor networks. IEEE Transactions on Computers, 54(1), 36–46.
    Article Google Scholar
  46. Peng, M., et al. (2011). Impacts of sensor node distributions on coverage in sensor networks. Journal of Parallel and Distributed Computer, 71(12), 1578–1591.
    Article MATH Google Scholar

Download references