The majority of work in cognitive radio networks have focused on single-hop networks with
mainly challenges at the physical and MAC layers. Recently, multi-hop secondary networks …

The existence of a worldwide indoor floorplans database can lead to significant growth in
location-based applications, especially for indoor environments. In this paper, we present …

The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Current solutions for indoor localization usually depend on using the embedded …

The mission of tracking a pedestrian is valuable for many applications including walking
distance estimation for the purpose of pervasive healthcare, museum and shopping mall …

Context-aware applications have been gaining huge interest in the last few years. With cell
phones becoming ubiquitous computing devices, cell phone localization has become an …

Recently, deep learning-based positioning systems have gained attention due to their
higher performance relative to traditional methods. However, obtaining the expected …

In this paper, a novel fingerprint-based localization technique is proposed, which is
applicable for positioning user equipments (UEs) in cellular communication networks such …

Recent years have witnessed fast growth in outdoor location-based services. While GPS is
considered a ubiquitous localization system, it is not supported by low-end phones, requires …

Search-based testing can automatically generate unit test suites for object oriented code, but
may struggle to generate specific values necessary to cover difficult parts of the code …

Device-free (DF) indoor localization has grasped great attention recently as a value-added
service to the already installed WiFi infrastructure as it allows the tracking of entities that do …