Environmental Monitoring by Wireless Communication Networks
By Hagit Messer, Artem Zinevich, Pinhas Alpert. Science, 2006
488 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Atmospheric Science
View Paper: https://www.semanticscholar.org/paper/d2b3239be8b368b27abbf8029528bf166ee8cb7e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Yonina C. Eldar
- Jie Xu
- Fan Liu
- Christos Masouros
- Yuanhao Cui
- Tony X. Han
- Stefano Buzzi
- Christian Jutten
In Atmospheric Science
Citations in the corpus
- Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields (2012, background): “Recently, additionally to radar and gauge precipitation data there are also some remote sensing techniques such as dual microwave links or wireless communication25 networks (e.g. Messer et al., 2006) from which rainfall fields can be derived.”
- Estimation of rainfall fields using commercial microwave communication networks of variable density (2008, background): “While some systems allow direct attenuation measurements at the temporal resolution of 1 min, others are designed to only measure minimum and maximum RSL for the 15-min time interval [1], or one instantaneous value each 15 min [2].”
- Weather radar and hydrology (2009, background): “Although much less established, microwave links rainfall measurement also offers interesting potential with the deployment of wireless communication networks all over the world [56,49].”
- Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “6) Environmental Monitoring: Environmental information such as humidity and particle concentrations can be indicated by the propagation characteristics of transmitted wireless signals [72].”
- Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges (2021, background): “One interesting use case is environmental monitoring [13].”
- Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects (2015, background): “primarily attenuation due to rainfall [46], [47].”
- Crowdsourcing for climate and atmospheric sciences: current status and future potential (2015, unknown): “For example, Overeem et al. (2013b) used received signal level data from microwave links in cellular communication networks to monitor precipitation in the Netherlands (Messer et al. , 2006; Leijnse et al. , 2007; Overeem et al., 2013b).”