A Comparative Analysis of Intelligent Algorithms for Localization in Wireless Sensor Networks (original) (raw)

Access this article

Log in via an institution

Subscribe and save

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Mao, G., Fidan, B., & Anderson, B. D. O. (2007). Wireless sensor network localization techniques. Science Direct, Computer Networks, 51, 2529–2553.
    Article MATH Google Scholar
  2. Han, G., Xu, H., Duong, T. Q., Jiang, J., & Hara, T. (2011). Localization algorithms of wireless sensor networks: A survey. Telecommunication Systems, 52(4), 2419–2436.
  3. Karl, H., & Willig, A. (2005). Protocols and architectures for wireless sensor networks. New York: Wiley.
    Book Google Scholar
  4. Kulkarni, R. V., Förster, A., & Venayagamoorthy, G. K. (2011). Computational intelligence in wireless sensor networks: A survey. IEEE Communications Surveys & Tutorials, 13(1), 68–96.
    Article Google Scholar
  5. Ren, X., Gao, C., & Xi, Y. (2013). A node localization algorithm based on simple particle swarm optimization in wireless sensor networks. Journal of Computational Information Systems, 9(22), 9203–9210.
    Google Scholar
  6. Guo, H., Low, K.-S., & Nguyen, H.-A. (2011). Optimizing the localization of a wireless sensor network in real time based on a low-cost microcontroller. IEEE Transactions on Industrial Electronics, 58(3), 741–749.
    Article Google Scholar
  7. Mao, G., & Fidan, B. (2009). Localization algorithms and strategies for wireless sensor networks: Monitoring and surveillance techniques for target tracking (pp. 1–32). Hershey, PA: IGI Global.
  8. Salman, N., Ghogho, M., & Kemp, A. H. (2014). Optimized low complexity sensor node positioning in wireless sensor networks. IEEE Sensors Journal, 14(1), 39–46.
    Article Google Scholar
  9. Shi, Q., He, C., Chen, H., & Jiang, L. (2010). Distributed wireless sensor network localization via sequential greedy optimization algorithm. IEEE Transactions on Signal Processing, 58(6), 3328–3340.
    Article MathSciNet Google Scholar
  10. Brownlee, J. (2011). _Clever algorithms: Nature_-inspired programming recipes.
  11. Kulkarni, R. V., & Venayagamoorthy, G. K. (2011). Particle swarm optimization in wireless sensor networks: A brief survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 41(2), 262–267.
    Article Google Scholar
  12. Binitha, S., & Sathya, S. S. (2012). A survey of bio inspired optimization algorithms. International Journal of Soft Computing and Engineering (IJSCE), 2(2), 137–151; ISSN: 2231-2307.
  13. Storn, R., & Price, K. (1997). Differential evolution—A simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization, 11, 341–359.
    Article MathSciNet MATH Google Scholar
  14. Vaisakh, K., & Srinivas, L. R. (2008). Differential evolution approach for optimal power flow solution. Journal of Theoretical and Applied Information Technology, 4(4), 261–268.
  15. Yang, X. S. (2008). Nature-inspired meta-heuristic algorithms. Beckington: Luniver Press.
    Google Scholar
  16. Apostolopoulos, T., & Vlachos, A. (2011). Application of the firefly algorithm for solving the economic emissions load dispatch problem. Hindawi Publishing Corporation International Journal of Combinatorics. doi:10.1155/2011/523806.
  17. Yang, X.-S., Hosseini, S. S. S., & Gandomic, A. H. (2012). Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect. Elsevier Applied Soft Computing, 12, 1180–1186.
    Article Google Scholar

Download references