An assessment of the energy efficiency of a Wireless Sensor Network in relation to the positioning of the sink node

  • Melissa Bonfim Alcantud IFSP
  • César Alberto da Silva IFSP / UFMG
  • Andrea Padovan Jubileu IFSP
  • Linnyer Beatryz Ruiz UFMG / UEM

Abstract


The research on the use of wireless technologies in several areas propelled this study regarding the energy efficiency of Wireless Sensor Networks (WSN), considering the variation of the number of sensor nodes, the time of data collection of these nodes and the positioning of the sink node. For this study, the Castalia simulator was used as an instrument to analyze the behavior of an WSN in a real environment, reducing cost and time.

References

Bhatti, R. e Kaur, G. (2017). Virtual Grid based energy efficient mobile sink routing algorithm for WSN, In: 2017 11th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, pp. 30-33.

Gupta, A., Thakur, A., Saini, H. S., Kumar, R. e Kumar, N. (2016). H-IECBR: HBO based-Improved Energy Efficient Chain Based Routing protocol in WSN, In: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), Delhi, pp. 1-4.

Kumar, D. (2014). Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks, in IET Wireless Sensor Systems, vol. 4, no. 1, pp. 9-16, March 2014.

Kumar, D., Aseri, T.C., e Patel, R.B. (2009). EEHC: energy efficient heterogeneous clustered scheme for wireless sensor networks, In: Elsevier Comput. Commun, 32, (4), pp. 662–667.

Mondal, S., Dutta, P., Ghosh, S. e Biswas, U. (2016). Energy efficient rough fuzzy set based clustering and cluster head selection for WSN, In: 2016 2nd International Conference on Next Generation Computing Technologies (NGCT), Dehradun, India, pp. 439-444.

Pantazis, N. A., Nikolidakis, S. A. e Vergados, D. D. (2013). Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey, In: IEEE Communications Surveys & Tutorials, vol. 15, no. 2, pp. 551-591.

Ruiz, L. B., Loureiro, A. A. F., Silva, F. A., Silva, T. R. M. B., Pozza, R. S., Costa, J. C. C., Gonçalves, P. C. e Silva, C. A. (2011). Engenharia de computação invisível. In: DE SOUZA, A. F.; MEIRA JR., W. (Org.), Atualizações em Informática 2011, capítulo 8. PUC-Rio.

Stattner, E., Vidot, N., Hunel, P. e Collard, M. (2012). Wireless sensor network for habitat monitoring: A counting heuristic. In: 2012 IEEE 37th Conference on Local Computer Networks Workshops (LCN Workshops), p. 753–760.

Tanenbaum, A. S e Wetherall, D. (2011). Redes de computadores. Tradução: Daniel Vieira. 5ª ed. São Paulo: Person.

Xin, G., Yong, X. W. e Fang, L. (2008). “An energy-efficient clustering technique for wireless sensor networks”. Proc. Int. Conf. IEEE Networking, Architecture, and Storage, pp. 248–252.
Published
2017-07-02
ALCANTUD, Melissa Bonfim; DA SILVA, César Alberto; JUBILEU, Andrea Padovan; RUIZ, Linnyer Beatryz. An assessment of the energy efficiency of a Wireless Sensor Network in relation to the positioning of the sink node. In: NATIONAL COMPUTING MEETING OF FEDERAL INSTITUTES (ENCOMPIF), 4. , 2017, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . p. 232-235. ISSN 2763-8766. DOI: https://doi.org/10.5753/encompif.2017.9932.