single-au.php

IJAT Vol.9 No.3 pp. 210-215
doi: 10.20965/ijat.2015.p0210
(2015)

Paper:

Node Deployment Algorithm Based on Perception Model of Wireless Sensor Network

Hengchang Jing

College of Management, Henan University of Science and Technology
Henan Luoyang 471023, China

Received:
December 10, 2014
Accepted:
March 12, 2015
Published:
May 5, 2015
Keywords:
node deployment algorithm, perception model, wireless sensor network
Abstract
With the aim of solving the coverage problem of a wireless sensor network, a node deployment algorithm for the wireless sensor network, one based on a perception model, is designed in this work. The simulation results show that this algorithm can effectively deploy the wireless sensor network node, improve the network’s coverage, reduce the energy consumption of the network node, and help the network to function longer.
Cite this article as:
H. Jing, “Node Deployment Algorithm Based on Perception Model of Wireless Sensor Network,” Int. J. Automation Technol., Vol.9 No.3, pp. 210-215, 2015.
Data files:
References
  1. [1] H. Jing, “Improved array SAFT imaging algorithm,” 2012 Int. Symposium on Instrumentation and Measurement, Sensor Network and Automation, Vol.1, pp. 147-150, 2012.
  2. [2] H. Jing, “Improving SAFT imaging technology for ultrasonic detection of concrete structures.” Journal of Applied Sciences, 2013, Vol.13, No.21, pp. 4363-4370, 2013.
  3. [3] H. Jing, “Improved ultrasonic CT imaging algorithm of concrete structures based on simulated annealing,” Sensors and Transducers, 2014, Vol.162, No.1, pp. 238-243, 2014.
  4. [4] H. Zhang, G. Bai, and C. Liu, “Improved Simulated Annealing Algorithm for Broadcast Routing of Wireless Sensor Network,” Journal of Computational Information Systems, Vol.9, No.6, pp. 2303-2310, 2013.
  5. [5] L. Wei and Z. Qin, “On-line Bi-objective Coverage Hole Healing in Hybrid Wireless Sensor Networks,” Journal of Computational Information Systems, Vol.8, No.13, pp. 5649-5658, 2012.
  6. [6] H. Yan, C. Ji, G. Chen, and S. Zhao, “Coverage and Deployment Analysis of 3D Sensor Nodes in Wireless Multimedia Sensor Networks,” Journal of Computational Information Systems, Vol.8, No.15, pp. 6159-6166, 2012.
  7. [7] X. Li and Y. He, “A Solution to the Optimal Density of Heterogeneous Surveillance Sensor Network in Pin-packing Coverage Condition,” Journal of Computational Information Systems, Vol.8, No.17, pp. 7029-7036, 2012.
  8. [8] X. Zhao, K. Mao, F. Yang, W. Wang, and Q. Chen, “Research on Detecting Sensing Coverage Hole Algorithm Based on OGDC for Wireless Sensor Networks,” Journal of Computational Information Systems, Vol.8, No.20, pp. 8561-8568, 2012.
  9. [9] H. Chizari, M. Hosseini, T. Poston, S. A. Razak, and A. H. Abdullah, “Delaunay Triangulation as a New Coverage Measurement Method in Wireless Sensor Network,” Sensors, Vol.11, No.3, pp. 3163-3176, 2011.
  10. [10] A. Chen, S. Kumar, and T. H. Lai, “Local Barrier Coverage in Wireless Sensor Networks,” IEEE Trans. on Mobile Computing, Vol.9, No.4, pp. 491-504, 2010.
  11. [11] C. Zhang, X. Bai, J. Teng, D. Xuan, and W. Jia, “Constructing Low-Connectivity and Full-Coverage Three Dimensional Sensor Networks,” IEEE Journal on Selected Areas in Communications, Vol.28, No.7, pp. 984-993, 2010.
  12. [12] G. Fan, R. Wang, H. Huang, L. Sun, and C. Sha, “Coverage-Guaranteed Sensor Node Deployment Strategies for Wireless Sensor Networks,” Sensors, Vol.10, No.3, pp. 2064-2087, 2010.
  13. [13] H. M. Ammari and S. K. Das, “A Study of k-Coverage and Measures of Connectivity in 3D Wireless Sensor Networks,” IEEE Trans. on Computers, Vol.59, No.2, pp. 243-257, 2010.
  14. [14] L. Ming and S. Weiren, “Optimal multi-objective sensor deployment scheme based on differential evolution algorithm in heterogeneous sensor networks,” Chinese Journal of Scientific Instrument, Vol.31, No.8, pp. 1896-1903, 2010.
  15. [15] C. Ozturk, D. Karaboga, and B. Gorkemli, “Probabilistic Dynamic Deployment of Wireless Sensor Networks by Artificial Bee Colony Algorithm,” Sensors, Vol.11, No.6, pp. 6056-6065, 2011.
  16. [16] N. Unaldi, S. Temel, and V. K. Asari, “Method for Optimal Sensor Deployment on 3D Terrains Utilizing a Steady State Genetic Algorithm with a Guided Walk Mutation Operator Based on the Wavelet Transform,” Sensors, Vol.12, No.4, pp. 5116-5133, 2012.
  17. [17] Z. Rongbiao, Z. Fu, R. Li, and S. Min, “A fuzzy graph theory based redundant node deployment algorithm for multi-hop WSN,” Chinese High Technology Letters, Vol.21, No.3, pp. 223-227, 2011.
  18. [18] Z. Zhenjiang and X. Yue, “An algorithm for guiding mobile nodes in wireless sensor networks based on a fuzzy logic controller,” Chinese High Technology Letters, Vol.21, No.6, pp. 562-568, 2011.
  19. [19] Z. Heshen, Z. Zhuonan, P. Chen, Y. Jun, and J. Limin, “Particle swarm optimization approach of wireless sensor network node deployment for traffic information acquisition,” Chinese Journal of Scientific Instrument, Vol.31, No.9, pp. 1991-1996, 2010.
  20. [20] L. Ming, and S. Weiren, “Virtual force-directed differential evolution algorithm based coverage-enhancing algorithm for heterogeneous mobile sensor networks,” Chinese Journal of Scientific Instrument, Vol.32, No.5, pp. 1043-1050, 2011.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 01, 2024