Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches
In recent years, the concept of smart cities has become increasingly important in the pursuit
of sustainable development goals. In general, common urban challenges have been …
of sustainable development goals. In general, common urban challenges have been …
Complexity vs. performance: empirical analysis of machine learning as a service
Machine learning classifiers are basic research tools used in numerous types of network
analysis and modeling. To reduce the need for domain expertise and costs of running local …
analysis and modeling. To reduce the need for domain expertise and costs of running local …
[HTML][HTML] Exploiting geospatial data of connectivity and urban infrastructure for efficient positioning of emergency detection units in smart cities
The detection of critical situations through the adoption of multi-sensor Emergency Detection
Units (EDUs) can significantly reduce the time between the initial stages of urban …
Units (EDUs) can significantly reduce the time between the initial stages of urban …
Steering crowdsourced signal map construction via Bayesian compressive sensing
Mobile crowdsensing with increasing pervasiveness of smartphones has enabled a myriad
of applications, including urban-scale signal map monitoring and revision. Despite the …
of applications, including urban-scale signal map monitoring and revision. Despite the …
City-wide signal strength maps: Prediction with random forests
Signal strength maps are of great importance to cellular providers for network planning and
operation, however they are expensive to obtain and possibly limited or inaccurate in some …
operation, however they are expensive to obtain and possibly limited or inaccurate in some …
Forecasting fine-grained city-scale cellular traffic with sparse crowdsourced measurements
With the rapid development of wireless technology and the edge computing applications, an
increasing number of 4G/5G infrastructure are densely deployed to meet the booming …
increasing number of 4G/5G infrastructure are densely deployed to meet the booming …
Csmc: Cellular signal map construction via mobile crowdsensing
The rise concern about mobile communication performance has driven the growing demand
for the construction of mobile network signal maps which are widely utilized in network …
for the construction of mobile network signal maps which are widely utilized in network …
Localizing basestations from end-user timing advance measurements
Although mobile communication has become ubiquitous in our modern society, operators
typically treat the underlying networking infrastructure in a secretive manner. However …
typically treat the underlying networking infrastructure in a secretive manner. However …
Adversarial localization against wireless cameras
This paper identifies and empirically evaluates the effectiveness of adversarial localization
attacks against wireless IoT devices, eg, wireless security cameras in the home. We use …
attacks against wireless IoT devices, eg, wireless security cameras in the home. We use …
A unified prediction framework for signal maps: Not all measurements are created equal
Signal maps are essential for the planning and operation of cellular networks. However, the
measurements needed to create such maps are expensive, often biased, not always …
measurements needed to create such maps are expensive, often biased, not always …