Norm Characterization for Body-Centric Networks | Zendy

Xiaodong Yang | Zendy

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Norm Characterization for Body-Centric Networks

Author(s) -

Xiaodong Yang

Publication year - 2016

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2016.2582958

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Body-centric wireless communication (BCWC) is affected by many uncertain factors. Available propagation models aim to characterize the radio propagation behavior for a specific scenario; model selection is based on the a posteriori knowledge from previous experience. To generalize existing parametric propagation models, the ℓ₁-norm probability propagation model, which is independent of a posteriori knowledge, was developed in this paper. To validate the ℓ₁-based model, Duke phantom was used as the carrier in the finite-difference time-domain calculation. Simulation and experimental results demonstrated that the generalized ℓ₁-norm propagation model is very appropriate for BCWC, which always undergoes various changes in practice.

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