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Aiming to keep under control a particular system or environment or to ensure that it works as expected there is a need to know what-when-why happens there. Various conditions and environmental factors can lead to errors, unexpected behavior or loss of control. To pursue these factors manually is time consuming, error prone, slow and usually quite expensive. Monitoring is quite complex and challenging...
The current research trend is about intelligent devices. There is a need to interconnect these intelligent embedded devices using the Internet and hence IoT devices have become more essential. Web of Things and Wisdom Web of Things are two technologies in their growing stages. This paper is a study on integration of IoT devices with WoT and W2T. An architecture has been designed to implement the interaction...
Advanced networking technology and increasing information services have led to extensive interconnection between Building Automation Systems (BAS) communication protocols and Internet, which makes Fog computing service a potential solution for automation of building end devices. However, the connection to Internet and public networks increases significantly the risk of the BAS networks being attacked...
Among all the Internet of Things (IoT) applications, the Smart City concept has received significant attention in the last few years. The main motivation behind this interest is attributable to population growth and urbanization trend. Cities need, indeed, to be ready to face new challenges - e.g., traffic congestion, wast management, etc. - caused by this new amount of citizens. To address those...
Cooperative spectrum sensing, despite its effectiveness in enabling dynamic spectrum access, suffers from location privacy threats, merely because secondary users (SUs)' sensing reports that need to be shared with a fusion center to make spectrum availability decisions are highly correlated to the users' locations. It is therefore important that cooperative spectrum sensing schemes be empowered with...
Advanced Driver Assistance Systems (ADAS) rely on a combination of data acquired from on-board sensors and map data, the so-called Electronic Horizon. The Electronic Horizon provides an extended view on the surroundings of the ego vehicle, thereby enriching safety and efficiency applications. In this context, one key aspect is the application program interface (API) that is used between the Electronic...
Todays context frameworks provide solutions for context mechanisms for individual applications only: context aware working spaces, easier mobile development frameworks or higher-level context abstractions. RestContext solves this problem with a service logically separating context as a set of information that can characterize a situation from further context interpretation mechanisms. RestContext...
The number of networked smart devices available in everyday environments is rapidly increasing; however, many current devices adopt mutually incompatible networks, protocols, and application programming interfaces. As such, creating mobile applications that dynamically discover and integrate ambient functionality across multiple vertical markets remains challenging. In this paper, we introduce a novel...
As miniaturized and high functional sensor devices like smartphones have spread, we can utilize large amounts of sensing data gathered from these devices. Participatory sensing is one of modern sensor-based application models in which users provide their sensing data including their personal data as well as get services. Current models, however, have limitations on flexible data flow based on provider's...
The expected evolution of the IoT into a huge and growing number of sensors connected to the Internet and generating a huge amount of data, translates into new challenges in the analysis phase for the extraction of useful information to the final user. This scenario opens new opportunities for the introduction of context-awareness features, as it is possible to store context information linked to...
Over a decade-long research on Cognitive Radio (CR) has provided many solutions to its fundamental challenges such as spectrum sensing and resource allocation. However, most of these solutions are particularly designed either for networks which have a supporting infrastructure (i.e., cognitive base stations) or for ad hoc networks with persistent connectivity. In this paper, we focus on less-investigated...
We propose a reusable and extensible hub architecture, Ubiquitous Box Architecture (UBA), which can be used in scenarios where various devices and sensors need to communicate with each other. It includes four main components, namely (1) Ubiquitous Box, (2) Plug in Server, (3) Authorization Server and (4) client applications. To show the robustness of the architecture, we present how UBA can be applied...
In daily life, people have to perform a large number of activities typically in a limited amount of time. Accordingly, they may benefit from help and guidance provided by support systems in order to accomplish these activities accurately and in the correct order. In order to satisfy such needs we develop a software framework which also incorporates a mobile application. Within the framework, workflows...
In this paper, we consider cybersecurity in the context of distributed estimation in Cyber-Physical Energy Systems (CPES). Distributed estimation is where the state of the energy system is to be estimated via a collection of geographically dispersed sensors. In order to implement the estimator, the sensors, in addition to sensing, implement a simple data fusion protocol that relies on inter-sensor...
As mobile devices have become powerful sensor platforms, new applications have emerged which continuously stream mobile user context (location, activities, etc.). However, energy is a limited resource on battery-equipped mobile devices. Especially frequent transmissions of context updates over energy-expensive wireless channels drain the battery of mobile devices in an uncontrolled manner. It is a...
In this demonstration, we will show MobiCon, a context monitoring platform; it runs over smartphones and sensor OSs, and facilitates development and deployment of everyday context-aware applications. For many years, lots of research efforts have been made in building low-cost, yet effective sensor networks for various application domains such as structural health monitoring of bridges, disaster recovery,...
In many mobile sensing applications devices need to discover new neighbors and maintain the rendezvous with known neighbors continuously. Due to the limited energy supply, these devices have to cycle their radios to conserve energy, making neighbor discovery and rendezvous maintenance even more challenging. To date, the main mechanism for device discover and rendezvous maintenance in existing solutions...
Nowadays, rich information about the context of mobile users is directly captured on the users' mobile phones in real-time. Especially, discrete context (e.g., the user's activity) has become highly interesting for many applications since it provides an intuitive and human-understandable description of the user's current state. However, while sensing is executed locally on the mobile device, changes...
In this paper, we propose an autonomous self-organization mechanism for the monitoring of the cold chain. All along the transportation through this logistic chain, the sensors are moved with the goods in very different networks. We argue that depending on the situation some protocols are more suited than others and it is necessary the sensors to adapt and to switch dynamically depending on where they...
Wireless sensors are attached to all kinds of mobile devices/entities such as mobile phones, PDAs, vehicles, robots and animals. This generates Mobile Wireless Sensor Networks (MWSNs) with very dynamic topologies and loose connectivity that depend on mobility of the mobile devices. Data collection from these mobile sensors has become a great challenge considering volatile topologies, loose connectivity...
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