JACIII Vol.16 No.6 pp. 741-747
doi: 10.20965/jaciii.2012.p0741


Localization with a Mobile Anchor Using ABC-GA Hybrid Algorithm in Wireless Sensor Networks

Rongbin Qi*, Sijin Li*, Tianyi Ma**, and Feng Qian*

*Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China

**Department of Computer Science and Technology, Shanghai Business School, Shanghai 200235, China

February 17, 2012
June 26, 2012
September 20, 2012
artificial bee colony, genetic algorithm, evolutionary computing, wireless sensor networks, node localization
Nodes localization plays an important role in applications of wireless sensor networks. In this paper, a localization scheme with a mobile anchor using a hybrid algorithm (ABC-GA) which combines Artificial Bee Colony (ABC) algorithm with the advantages of Genetic Algorithm (GA) is proposed. The localization scheme determines location of unknown node by the mobile anchor. It has high accuracy without any additional requirements for the hardware of unknown node. The core problem of the scheme is to find the shortest path to traverse all unknown nodes by the proposed hybrid algorithm. Simulation results show that ABC-GA hybrid algorithm has high convergence rate and strong global search capability, and the accuracy of localization scheme is satisfactory.
Cite this article as:
R. Qi, S. Li, T. Ma, and F. Qian, “Localization with a Mobile Anchor Using ABC-GA Hybrid Algorithm in Wireless Sensor Networks,” J. Adv. Comput. Intell. Intell. Inform., Vol.16 No.6, pp. 741-747, 2012.
Data files:
  1. [1] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A Survey on Sensor Networks,” IEEE Communications Magazine, Vol.40, No.8, pp. 102-114, Aug. 2002.
  2. [2] J. Hightower and G. Borriello, “Location Systems for Ubiquitous Computing,” IEEE Computer, Vol.34, No.8, pp. 57-66, Aug. 2001.
  3. [3] U. dischoff, M. Strohbach, M.Hazas, and G. Kortuem, “Constraintbased distance estimation in ad-hoc wireless sensor networks,” In Proc. of the 3rd European workshop on Wireless Sensor networks, pp. 54-68, 2006.
  4. [4] F. Caballero, L. Merino, P. Gil, I. Maza, and A. Ollero, “A Probabilistic Frameworks for Entire WSN Localization Using A Mobile Robot,” Robotics and Autonomous Systems, Vol.56, pp. 798-806, 2008.
  5. [5] D. Karaboga and B. Basturk, “A powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm,” J. of Global Optimization, Vol.39, No.3, pp. 459-171, Nov. 2007.
  6. [6] D. Karaboga, S. Okdem, and C. Ozturk, “Cluster based wireless sensor network routings using Artificial Bee Colony Algorithm,” In Proc. of Int. Conf. on Autonomous and Intelligent Systems, Povoa de Varzim, pp. 1-4, June 2010.
  7. [7] S. Hussain, A. W. Matin, and O. Islam, “Genetic Algorithm for Hierarchical Wireless Sensor Networks,” J. of Networks, Vol.2, No.5, Sep. 2007.
  8. [8] G. Mao, B. Fidan, and B. Anderson, “Wireless sensor network localization techniques,” Computer Networks, Vol.51, No.10, pp. 2529-2553, 2007.
  9. [9] T. He, C. Huang, B. M. Blum, J. A. Stankovic, and T. Abdelzaher, “Range-Free Localization Schemes for Large Scale Sensor Networks,” In Proc. of the ACM MobiCom 2003, San Diego, pp. 81-95, 2003.
  10. [10] S. M. Graham, A. Joshi, and Z. Pizlo, “The Traveling Salesman Problem: a Hierarchical Model,” J. of Memory and Cognition, Vol.28, pp. 1191-1204, 2000.
  11. [11] F. Qin, C. Wei, and L. Kezhong, “Node Localization with a Mobile Beacon Based on Ant Colony Algorithm in Wireless Sensor Networks,” In Proc. of Int. Conf. on Communications and Mobile Computing, pp. 303-307, Apr. 2010.
  12. [12] D. Niculescu and B. Nath, “Ad Hoc Positioning System (APS),” In Proc. of the IEEE GLOBECOM 2001, San Antonio, pp. 2926-2931, 2001.
  13. [13] Y. Shang, W. Ruml, Y. Zhang, and M. Fromherz, “Localization from Mere Connectivity,” In Proc. of the ACM MobiHoc, Annapolis, MD, pp. 201-212, June 2003.
  14. [14] A. Savvides, C. C. Han, and M. B. Srivastava, “Dynamic finegrained localization in Ad-Hoc networks of sensors,” In: Proc. of the 5th Annual Int. Conf. on Mobile Computing and Networking, Rome, pp. 166-179, 2001.

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