@inproceedings{42b1886228de429d8dc766e22c80100e,
title = "CAE Adaptive Compression, Transmission Energy and Cost Optimization for m-Health Systems",
abstract = "The rapid increase in the number of patients requiring constant monitoring inspires researchers to investigate the area of mobile health (m-Health) systems for intelligent and sustainable remote healthcare applications. Extensive real-time medical data transmission using battery-constrained devices is challenging due to the dynamic network and the medical system constraints. Such requirements include end-to-end delay, bandwidth, transmission energy consumption, and application-level Quality of Services (QoS) requirements. As a result, adaptive data compression based on network and application resources before data transmission would be beneficial. A minimal distortion can be assured by applying Convolutional Auto-encoder (CAE) compression approach. This paper proposes a cross-layer framework that considers the patients' movement while compressing and transmitting EEG data over heterogeneous wireless environments. The main objective of the framework is to minimize the trade-off between the transmission energy consumption along with the distortion ratio and monetary costs. Simulation results show that an optimal trade-off between the optimization objectives is achieved considering networks and application QoS requirements for m-Health systems.",
keywords = "Compression, EEG, Energy Consumption, Optimization, STEPS, m-Health",
author = "Al-Marridi, \{Abeer Z.\} and Amr Mohamed and Aiman Erbad and Mohsen Guizani",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 22nd IEEE International Conference on High Performance Switching and Routing, HPSR 2021 ; Conference date: 07-06-2021 Through 10-06-2021",
year = "2021",
month = jun,
day = "7",
doi = "10.1109/HPSR52026.2021.9481807",
language = "English",
series = "IEEE International Conference on High Performance Switching and Routing, HPSR",
publisher = "IEEE Computer Society",
booktitle = "2021 IEEE 22nd International Conference on High Performance Switching and Routing, HPSR 2021",
address = "United States",
}