Data Reduction Techniques in Delay-Tolerant Wireless Sensor Networks

  • Israel Vasconcelos UFAL
  • Andre Aquino UFAL

Abstract


This work presents a delay-tolerant sensor network model for environmental applications where a data-aware drop strategy is applied to improve the phenomenon coverage. We design a model for applications that monitor the forest temperature incidence for wildlife observation. The proposed solution modeling comprises of: (i) Phenomenon generation based on Gaussian random field; (ii) Sensing nodes with a mobile sink; (iii) Data processing based on a data-aware drop strategy; and (iv) Phenomenon reconstruction based on simple kriging interpolation. Besides the satisfactory application of our model, the results show that the performance of our strategy is approximately twice better than traditional ones.

Keywords: Wireless Sensor Networks, Data Sample Algorithms, Application Modeling.

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Published
2019-07-01
VASCONCELOS, Israel; AQUINO, Andre. Data Reduction Techniques in Delay-Tolerant Wireless Sensor Networks. In: SBC UNDERGRADUATE RESEARCH CONTEST (CTIC-SBC), 38. , 2019, Belém. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 .