The Limits of Pairwise Correlation to Model the Joint Entropy. Comment on Nguyen Thi Thanh et al. Entropy Correlation and Its Impacts on Data Aggregation in a Wireless Sensor Network. Sensors 2018, 18, 3118

Benoît Legat; Luc Rocher

doi:10.3390/s21113700

The Limits of Pairwise Correlation to Model the Joint Entropy. Comment on Nguyen Thi Thanh et al. Entropy Correlation and Its Impacts on Data Aggregation in a Wireless Sensor Network. Sensors 2018, 18, 3118

Sensors (Basel). 2021 May 26;21(11):3700. doi: 10.3390/s21113700.

Authors

Benoît Legat¹, Luc Rocher^{2

3}

Affiliations

¹ Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Université Catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium.
² Department of Computing, Imperial College London, London SW7 2AZ, UK.
³ Data Science Institute, Imperial College London, London SW7 2AZ, UK.

Abstract

Information theory is a unifying mathematical theory to measure information content, which is key for research in cryptography, statistical physics, and quantum computing [...].