Investigating the performance of a worn optical wireless device with mobility

Kaba, Alassane; Sahuguède, Stéphanie; Julien-Vergonjanne, Anne

doi:10.1109/csndsp49049.2020.9249604

Cited by 1 publication

(2 citation statements)

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“…Several studies focusing on OWC channel behavior have highlighted the impact of body and/or movements when designing dynamic WBSN systems [ 22 , 23 , 24 , 25 , 26 , 27 , 28 ]. For a realistic modeling in the case of a walking exercise, the overall body movements depend on the mobility scenario including the random path, while the movements of the body parts such as the legs and the arms are more related to the body shape.…”

Section: Introductionmentioning

confidence: 99%

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Channel Modeling of an Optical Wireless Body Sensor Network for Walk Monitoring of Elderly

Kaba

Sahuguède

Julien-Vergonjanne

2021

Sensors

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The growing aging of the world population is leading to an aggravation of diseases, which affect the autonomy of the elderly. Wireless body sensor networks (WBSN) are part of the solutions studied for several years to monitor and prevent loss of autonomy. The use of optical wireless communications (OWC) is seen as an alternative to radio frequencies, relevant when electromagnetic interference and data security considerations are important. One of the main challenges in this context is optical channel modeling for efficiently designing high-reliability systems. We propose here a suitable optical WBSN channel model for tracking the elderly during a walk. We discuss the specificities related to the model of the body, to movements, and to the walking speed by comparing elderly and young models, taking into account the walk temporal evolution using the sliding windowing technique. We point out that, when considering a young body model, performance is either overestimated or underestimated, depending on which windowing parameter is fixed. It is, therefore, important to consider the body model of the elderly in the design of the system. To illustrate this result, we then evaluate the minimal power according to the maximal bandwidth for a given quality of service.

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Section: Introductionmentioning

confidence: 99%

“…In [ 24 , 25 , 26 ], simple surfaces or volumes only considering body position distribution within the environment were first used to represent the body shape of the person. In [ 27 ], a model considering the arm presence and wrist rotations was proposed. However, the arm movement linked to the walk was not considered.…”

Section: Introductionmentioning

confidence: 99%