Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Applied Computer Systems

The Journal of Riga Technical University

2 Issues per year

Open Access
See all formats and pricing
More options …

Developing the Reconfiguration Method to Increase Life Expectancy of Dynamic Wireless Sensor Network in Container Terminal

Aleksejs Jurenoks
Published Online: 2017-01-23 | DOI: https://doi.org/10.1515/acss-2016-0010


Nowadays control and management logistics solutions that are used in terminals apply sensor based technologies to identify and localize containers in the yard. Nevertheless, because of the limits in the existing sensor technical specification, the position of nodes is still affected by some errors or sometimes it cannot be determined in real-time systems due to battery fall.

The sensor nodes pertaining to information storage and processing are mainly equipped with an uninterrupted power supply, independent distribution network connectivity and low performance computing system. The capacity of data traffic near a coordinator node is much higher than in the distant points; as a result, the existing elements close to processing nodes faster than others stop operating due to a lack of electricity and, as a result, the network ceases its overall work.

The article describes the modification of network routing protocols for energy balancing in nodes, using the mobility of the coordinator node, which provides dynamic network reconfiguration possibilities.

Keywords: Industry 4.0; life expectancy; sensor network


  • [1] S. Basagni, A. Carosi and C. Petrioli, “Controlled vs. uncontrolled mobility in wireless sensor networks: Some performance insights,” in IEEE 66th Vehicular Technology Conference, Baltimore, MD, 2007, pp. 269–273. https://doi.org/10.1109/VETECF.2007.70Crossref

  • [2] D. M. Blough and P. Santi, “Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks,” in Proceedings of the 8th annual international conference on Mobile computing and networking. (MobiCom ’02), New York, NY, 2002, pp. 183–192. https://doi.org/10.1145/570645.570668Crossref

  • [3] C. A. Chestek, V. Gilja, P. Nuyujukian, R. J. Kier, F. Solzbacher, S. I. Ryu, R. R. Harrison and K. V. Shenoy, “HermesC: Low-Power wireless neural recording system for freely moving primates,” EEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 17, no. 4, pp. 330–338, Aug. 2009. https://doi.org/10.1109/TNSRE.2009.2023293Crossref

  • [4] Y. Chen and Q. Zhao, “On the lifetime of wireless sensor networks,” Communications Letters, IEEE. vol. 9, no. 11, pp. 976–978, Nov. 2015. https://doi.org/10.1109/LCOMM.2005.11010Crossref

  • [5] S. E. Collier, “The Emerging Enernet: convergence of the smart grid with the Internet of Things,” in 2015 IEEE Rural Electric Power Conference (REPC), Asheville, NC, 2015, pp. 65–68. https://doi.org/10.1109/repc.2015.24Crossref

  • [6] H. Miranda, V. Gilja, C. A. Chestek, K. V. Shenoy and T. Meng, “A high-rate long-range wireless transmission system for multichannel neural recording applications,” in 2009 IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, 2009, pp. 1265–1268. https://doi.org/10.1109/iscas.2009.5117993Crossref

  • [7] S. Halder, A. Ghosal, A. Chaudhuri and S. DasBit, “A probability density function for energy-balanced lifetime-enhancing node deployment in WSN,” in Proceedings of the 2011 International Conference on Computational Science and Its Applications, ICCSA’11 (Lecture Notes in Computer Science), Berlin, Heidelberg: Springer-Verlag, 2011, pp. 472–487. https://doi.org/10.1007/978-3-642-21898-9_40Crossref

  • [8] I. S. Hammoodi, B. Stewart, A. Kocian, S. McMeekin, “A comprehensive performance study of OPNET modeler for ZigBee wireless sensor networks,” in 2009 3rd International Conference on Next Generation Mobile Applications, Services and Technologies, NGMAST ’09, Cardiff, Wales, 2009, pp. 357–362. https://doi.org/10.1109/ngmast.2009.12Crossref

  • [9] A. Jurenoks and L. Novickis, “Wireless sensor network live circle simulation tools to balance energy consumption in the network nodes,” in Proceedings of 29th European Simulation and Modelling Conference (ESM 2015), Leicester, UK, 2015, pp. 245–249. ISBN 978-9077381-908.Google Scholar

  • [10] R. Mautz and S. Tilch, “Survey of optical indoor positioning systems,” in 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Guimaraes, 2011, pp. 1–7. https://doi.org/10.1109/ipin.2011.6071925Crossref

  • [11] G. Miezītis, V. Zagurskis and R. Taranovs, “Multiple mobile gateways in wireless sensor networks,” Technologies of Computer Control, vol. 13, pp. 38–42, 2012.Google Scholar

  • [12] P. Munz, I. Hudea, J. Imad R. Smith, “Mathematical modelling of network structure,” in Proceeding in the Infectious Disease Modelling Research Progress, 2009, pp. 133–150. ISBN 978-1-60741-347-9.Google Scholar

  • [13] R. Harrison, R. Kier, C. Chestek, V. Gilja, P. Nuyujukian, S. Ryu, B. Greger, F. Solzbacher and K. Shenoy, “Wireless neural recording with single low-power integrated circuit,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 17, no. 4, pp. 322–329, Aug. 2009. https://doi.org/10.1109/TNSRE.2009.2023298Crossref

  • [14] R. Taranovs, V. Jesilevskis, G. Miezītis, D. Bļizņuks, Ē. Kļaviņš, A. Kalniņš and V. Zagurskis, “An approach for meeting room activity monitoring and analysis,” Technologies of Computer Control, vol. 15, pp. 63–68, 2014. https://doi.org/10.7250/tcc.2014.009Crossref

  • [15] S. S. Baskakov, “Issledovanie sposobov povyšenija èffektivnosti maršrutizacii po virtualnym koordinatam v besprovodnyh sensornyh setjah,” Vestnik MGTU im. N. È. Baumana. Ser. Priborostroenie, no. 2, pp. 112–124, 2009.Google Scholar

  • [16] M. M. Komarov and L. S. Voskov, “Pozicionirovanie datčikov besprovodnoj seti kak sposob ènergosbereženija,” Datčiki i sistemy, no. 1, pp. 34–38, 2012.Google Scholar

About the article

Published Online: 2017-01-23

Published in Print: 2016-12-01

Citation Information: Applied Computer Systems, Volume 20, Issue 1, Pages 15–20, ISSN (Online) 2255-8691, DOI: https://doi.org/10.1515/acss-2016-0010.

Export Citation

© 2016 Riga Technical University. This work is licensed under the Creative Commons Attribution 4.0 Public License. BY 4.0

Comments (0)

Please log in or register to comment.
Log in