Rapid technological advances have revolutionized the industrial sector. These range from automation of processes to autonomous processes, where a human input is not required. Internet Things (IoT), which has emerged few years ago, been embraced by industry, resulting in what known as Industrial (IIoT). IIoT refers making and entities part Internet. Restricting definition manufacturing yields another subset IoT, Industry 4.0. 4.0, will consist sensor networks, actuators, robots, machines,...

We present WiGest: a system that leverages changes in WiFi signal strength to sense in-air hand gestures around the user's mobile device. Compared related work, WiGest is unique using standard equipment, with no modifications, and training for gesture recognition. The identifies different change primitives, from which we construct mutually independent families. These families can be mapped distinguishable application actions. address various challenges including cleaning noisy signals, type...

Mobile devices are becoming increasingly capable computing platforms with significant processor power and memory. However, mobile compute capabilities often underutilized. In this paper we consider how a collection of co-located can be orchestrated to provide cloud service at the edge. Scenarios include, but not limited to, passengers using public transit services, students in classrooms groups people sitting coffee shop. To end, propose femtocloud system which provides dynamic,...

Monitoring breathing rates and patterns helps in the diagnosis potential avoidance of various health problems. Current solutions for respiratory monitoring, however, are usually invasive and/or limited to medical facilities. In this paper, we propose a novel monitoring system, UbiBreathe, based on ubiquitous off-the-shelf WiFi-enabled devices. Our experiments show that received signal strength (RSS) at device held person's chest is affected by process. This effect extends scenarios when...

IoT has been gaining a lot of attention in recent years. In fact, the number connected devices already surpassed total population on Earth. Current developments various technologies have paved way for many services that are now being deployed different sectors. can extend its scope and service provisioning capabilities with integration cloud computing paradigm. Similarly, cannot only access underlying nodes provide them services, but also create further enhanced based data collected from...

This demo presents WiGest: a system that leverages changes in WiFi signal strength to sense in-air hand gestures around the user's mobile device. Compared related work, WiGest is unique using standard equipment, with no modifications, and training for gesture recognition. The identifies different change primitives, from which we construct mutually independent families. These families can be mapped distinguishable application actions. We integrate applications demonstrate how enables users...

Unmanned aerial vehicles (UAVs) have recently rapidly grown to facilitate a wide range of innovative applications that can fundamentally change the way cyber-physical systems (CPSs) are designed. CPSs modern generation with synergic cooperation between computational and physical potentials interact humans through several new mechanisms. The main advantages using UAVs in CPS application is their exceptional features, including mobility, dynamism, effortless deployment, adaptive altitude,...

Fifth generation mobile communication networks are currently being deployed, thus making Tactile Internet possible. is the future advancement of current Things (IoT) vision wherein haptics, or touch and senses, can be communicated from one geographical place to another, enabling near real-time control navigation remote objects. will have its use cases in several application domains, with industrial sector among most prominent ones. With Industrial (IIoT), used healthcare, manufacturing,...

We present WiGest: a system that leverages changes in WiFi signal strength to sense in-air hand gestures around the user's mobile device. WiGest uses standard equipment, with no modifications, and requires training for gesture recognition. The identifies different RSS change primitives, from which we construct mutually-independent families. These families can be mapped distinguishable application actions. More fine-grained features also recognized detected primitives using CSI. addresses...

Despite the increased capabilities of mobile devices, application resource requirements can often transcend what be accomplished on a single device. This has been addressed through several proposals for efficient computation offloading from devices to remote cloud resources or closely located computing known as cloudlets. In this paper we consider an environment in which computational is performed among set devices. We call Mobile Device Cloud (MDC). are interested MDCs where nodes {\em...

Many mobile applications overcome their device limitations in computational, energy, or data resources by offloading computations to the cloud. In this paper, we consider environments which computational occurs amongst a set of devices. We call such an environment cloud (MDC). work, first highlight gain computation time and energy consumption that can be achieved tasks nearby devices within MDC compared then propose implement platform enables creation assessment various algorithms MDCs. This...

Mobile wireless sensor networks have been extensively deployed for enhancing environmental monitoring and surveillance. The availability of low-cost mobile robots equipped with a variety sensors makes them promising in target coverage tasks. They are particularly suitable where quick, inexpensive, or nonlasting visual sensing solutions required. In this paper, we consider the problem low complexity tracking to cover follow moving targets using flying robots. We tackle by clustering while...

Unmanned Aerial Vehicles are miniature air-crafts that have proliferated in many military and civil applications. Their affordability allows for tasks to be held with not just one but a fleet of UAVs. One the problems arise use multi-UAVs is multi-UAV path planning assignment problem. We propose three algorithms aim at assigning energy efficient trajectories Our optimal solution (OPP) formulated using Mixed Integer Linear Programming model (MILP). also two other heuristic solutions greedy...

In this paper, we present a joint compression and classification approach of EEG EMG signals using deep learning approach. Specifically, build our system based on the autoencoder architecture which is designed not only to extract discriminant features in multimodal data representation but also reconstruct from latent encoder-decoder layers. Since can be seen as approach, extend it handle at encoder layer, reconstructed retrieved decoder layer. We show through experimental results, that...

WiFi time of flight (ToF) measurement has been supported recently by the wireless LAN protocols to improve localization. Specifically, IEEE 802.11-2016 standard a fine-time (FTM) protocol that can be used measure signal round trip (RTT). In this paper, we present design and implementation WiNar, RTT-based indoor location determination system combines advantages both fingerprint ranging-based techniques overcome different challenges environments. Using commercial-off-the-shelf access points...

Edge computing offers an alternative to centralized, in-the-cloud compute services. Among the potential advantages of edge are lower latency that improves responsiveness, reduced wide-area network congestion, and possibly greater privacy by keeping data more local. In our previous work on Femtoclouds, we proposed taking advantage clusters devices tend be co-located in places such as public transit, classrooms or coffee shops. These can perform computations for jobs generated from within...

Internet of Things (IoT) and sensing have led to significant improvements in the delivery healthcare. IoT can extend its scope by accessing cloud resources. Cloud, on other hand, also enhance services from data collected healthcare IoTs. However, are generally physically distant each making it a challenge provide with specific requirements (such as fast response time, less compute-intensive processing). To address these requirements, we need some type middleware technology such fog which...

Despite the increased capabilities of mobile devices, application resource requirements can often transcend what be accomplished on a single device. This has been addressed through several proposals for efficient computation offloading from devices to remote cloud resources or closely located computing known as cloudlets. In this paper we consider an environment in which computational is performed among set devices. We call Mobile Device Cloud (MDC). are interested MDCs where nodes {\em...

In this paper, we consider an environment in which computational offoading is adopted amongst mobile devices. We call such a device cloud (MDC). work, highlight via emulation, experimenation and real measurements, the potential gain computation time energy consumption that can be achieved by tasks within MDC. also propose develop experimental platform to enable researchers create experiment with novel algorithms MDCs.

With the advent of wearable computing and resulting growth in mobile application market, we investigate opportunistic cloud where devices leverage nearby computational resources order to save execution time consumed energy. Our goal is enable generic computation offloading heterogeneous that include Cloud, devices, cloudlets. We propose a flexible architecture maximizes gain with respect various objective functions such as, minimizing response time, reducing overall energy consumption,...

Due to the increasing number of chronic disease patients, continuous health monitoring has become top priority for health-care providers and posed a major stimulus development scalable energy efficient mobile systems. Collected data in such systems are highly critical can be affected by wireless network conditions, which return, motivates need preprocessing stage that optimizes delivery an adaptive manner with respect dynamics. We present this paper single multiple modality compression...