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 …

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 …

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 …

Mobile crowdsensing with increasing pervasiveness of smartphones has enabled a myriad
of applications, including urban-scale signal map monitoring and revision. Despite the …

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 …

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 …

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 …

Although mobile communication has become ubiquitous in our modern society, operators
typically treat the underlying networking infrastructure in a secretive manner. However …

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 …

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 …