Adaptive Discrete Vector Field in Sensor Networks
AbstractHomology groups are a prime tool for measuring the connectivity of a network, and their computation in a distributed and adaptive way is mandatory for their use in sensor networks. In this paper, we propose a solution based on the construction of an adaptive discrete vector field from where, thanks to the discrete Morse theory, the generators of the homology groups are extracted. The efficiency and the adaptability of our approach are tested against two applications: the detection and the localization of the holes in the coverage, and the selection of active sensors ensuring complete coverage. View Full-Text
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Zhang, M.; Goupil, A. Adaptive Discrete Vector Field in Sensor Networks. Sensors 2018, 18, 2642.
Zhang M, Goupil A. Adaptive Discrete Vector Field in Sensor Networks. Sensors. 2018; 18(8):2642.Chicago/Turabian Style
Zhang, Mengyi; Goupil, Alban. 2018. "Adaptive Discrete Vector Field in Sensor Networks." Sensors 18, no. 8: 2642.
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