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An Efficient Relocation Algorithm in Mobile Sensor Network Based on Improved Artificial Bee Colony

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Advances in Electronic Commerce, Web Application and Communication

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 148))

Abstract

The effectiveness of distributed mobile sensor network depends on the coverage provided by the mobile sensor deployment. In order to maximize the effective coverage area and minimum the movement distance, an improved artificial bee colony (IABC) approach is proposed to relocate mobile sensors. New schemes of onlooker bees and scouts are presented to accelerate the convergence of the algorithm and avoid local optimization. Simulation results show that compared with other algorithms, the proposed relocation algorithm has better performances on effective coverage area and has a faster convergence. And the IABC also obtain the shortest movement distance.

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References

  1. Estrin, D., Girod, L., Pottie, G., Srivastava, M.: Instrumenting the World with Wireless Sensor Networks. In: International Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, Utah (May 2001)

    Google Scholar 

  2. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: wireless sensor network: A survey. Computer Networks 38(4), 393–422 (2002)

    Article  Google Scholar 

  3. Chelappan, S., Bai, X., Ma, B., Xuan, D.: Sensor networks deployment using flip-based sensors. In: IEEE International Conference on MASS, Washington DC, US, pp. 298–305 (2005)

    Google Scholar 

  4. Chellappan, S., Bai, X., Ma, B., Xuan, D., Xu, C.: Mobility limited flip-based sensor networks deployment. IEEE Transactions on Parallel Distributed Systems 18(2), 199–211 (2007)

    Article  Google Scholar 

  5. Pei, Z.Q., Xu, C.Q., Teng, J.: Relocation algorithm for non-uniform distribution in mobile sensor network. Journal of Electronics 26(2), 222–228 (2009)

    Google Scholar 

  6. Zhang, S., Bao, X.R., Chen, J.: Optimal distribution of mobile nodes in wireless sensor network. Journal of Northeastern University 28(4), 489–492 (2007)

    Google Scholar 

  7. Jin, L.-Z., Chang, G.-R., Jia, J.: Node distribution optimization in mobile sensor networks based on differential evolution algorithm. Control and Decision 25(12), 1857–1860 (2010)

    MathSciNet  Google Scholar 

  8. Karaboga, D., Akay, B.: A comparative study of Artificial Bee Colony algorithm. Applied Mathematics and Computation 214, 108–132 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. Tereshko, V., Lee, T.: How information mapping patterns determine foraging behaviour of a honeybee colony. J. Open Systems and Information Dynamics 9, 181–193 (2002)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Wei Zheng .

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Zheng, W., Shu, J. (2012). An Efficient Relocation Algorithm in Mobile Sensor Network Based on Improved Artificial Bee Colony. In: Jin, D., Lin, S. (eds) Advances in Electronic Commerce, Web Application and Communication. Advances in Intelligent and Soft Computing, vol 148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28655-1_70

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  • DOI: https://doi.org/10.1007/978-3-642-28655-1_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28654-4

  • Online ISBN: 978-3-642-28655-1

  • eBook Packages: EngineeringEngineering (R0)

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