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The number of Internet-connected everyday objects grows thanks to the Internet of Things (IoT). The trend with this new paradigm where smart embedded devices, people, and systems are connected, is that over the next few years we could see a shift in the notion of what it means to be "on the Internet". In this context, Wireless Sensor Network (WSN) technology is an essential component of...
Internet of Things (IoT) is the technique to connect each and everything to Internet, and it provides anything at anytime regardless of where the thing is located. If we connect devices in this way, by 2020, billions of devices will get connected to the Internet. The current trends shows that the deployment of sensors and IoT paradigm growing in a rapid pace. This shows that the next information revolution...
With the proliferation of sensors, specifically those capable of providing positional estimates, it is now possible to build large sensor networks for the purpose of tracking objects within indoor environments. A key component of building such indoor tracking systems, is the ability to properly select a subset of these available sensors for the purpose of tracking. Often sensors do not afford the...
RFID and WSN technologies are widely used in today's pervasive computing. In Wireless Sensor Networks, sensor nodes sense the physical environment and send the sensed data to the sink by multi-hops. WSN are used in many applications such as military and environment monitoring. In Radio Frequency Identification, a unique ID is assigned to a RFID tag which is associated with a real world object. RFID...
Wireless Sensor Networks are becoming one of the most successful choices for the development and deployment of applications in a range of scenarios, from intelligent homes to environment monitoring. Nowadays, there is a growing demand for programming large-scale wireless sensor networks. New programming paradigms should ease the task of building WSN applications that adapt at run-time to changes in...
In this paper, a data acquisition and integration platform for internet of things is proposed. The platform is developed under a cloud computing environment using context-oriented approaches. It collects sensor data from different types of sensor devices, including such as RFID, ZigBee sensors, GPS devices, temperature sensors, humidity sensors, luminance sensors, etc. First we are devoted to the...
A Wireless Sensor Network (WSN) is a versatile sensing system whose hardware resources are scarce and have to be carefully used and hence adapted to face with their context and resources changing. Moreover, WSN could be used in unreachable or dangerous places, hence their adaptation should be remotely managed. In this paper, we propose a model-driven approach able to generate agents governing the...
A declarative SQL-like language and a middleware infrastructure are presented for collecting data from different nodes of a pervasive system. Data management is performed by hiding the complexity due to the large underlying heterogeneity of devices, which can span from passive RFID(s) to ad hoc sensor boards to portable computers. An important feature of the presented middleware is to make the integration...
The development of dependable context-aware applications represents a major challenge to software engineers of contemporary systems. In this context, this position paper proposes the definition of a Context-Aware Exception Handling Mechanism to be incorporated into the Mid Sensor Net, a middleware of multi-tier services for Wireless Sensor Networks(WSNs) that provides a expressive and flexible mechanism...
Based on multi-agent technology, this paper proposes a novel system infrastructure for context-aware system. We provide frameworks for communication and mobility. We suggest an agent model that integrates the software agents of the application with the hardware agents of the physical environment. We describe an integrated target tracking experiment, to demonstrate an implementation of this architecture...
In this paper, context awareness is exploited by defining semantic relations among sensor nodes. Data is routed in a multi-hop network after the establishment of semantic based communication links between sensors. Minimizing the energy consumption is a critical issue in resource constrained sensor networks. Context awareness introduces a new level of intelligence that can be exploited in order to...
In order to improve application reaction times and decrease overall transmission overhead, Wireless Sensor Network (WSN) applications are being developed to push intelligence into the network. In multi-purpose enterprise deployments of WSNs the infrastructure is considered a lightweight service platform that can provide services for multiple concurrent distributed applications. In this context our...
In the vision of pervasive computing, technology is integrated throughout our environment. Wireless sensor networks (WSNs) provide support for pervasive computing applications through integration of environmental data. We believe that previous approaches to resource management in WSNs are designed to provide support for a specific application and do not adequately support the vision of pervasive computing...
Emerging healthcare applications can benefit enormously from recent advances in pervasive technology and computing. This paper introduces the CLARITY Modular Ambient Health and Wellness Measurement Platform:, which is a heterogeneous and robust pervasive healthcare solution currently under development at the CLARITY Center for Sensor Web Technologies. This intelligent and context-aware platform comprises...
The information technology paradigm shifts to smart service environment, as ubiquitous technologies are used in the latest industry trend. The major features of ubiquitous smart service are high dynamism and heterogeneity of their environment and the need for context awareness. In order to resolve these features, it is necessary to develop middleware that meet various new requirements. This paper...
The integration of Wireless Sensor Networks at a global scale is a crucial step on the road to a tighter coupling between the virtual and real world. In a context-aware system with thousands or even millions of data items describing the current situation, it is obvious that this data needs to be filtered and aggregated in order to distribute the detection and processing efficiently. The need to aggregate...
Global climate change can be mitigated with innovative solutions in the ambient intelligence domain that utilize distributed and heterogeneous sensor networks for high resolution sensing of resource utilization (e.g. energy, water, etc.) via intelligent coordination among sensor nodes. We propose the EcoSense framework as a holistic solution that enables dynamic control and reconfiguration of the...
Recent advances in wireless technology, sensors and portable devices offer interesting opportunities to enable ubiquitous assistance to individuals in need of prompt help. Providing healthcare services to mobile users, such as, patients, elders, or potential drug abusers, is a rather challenging task. Novel middleware-level supports are required to integrate sensor infrastructures capable of detecting...
Wireless sensor networks are application specific,data centric networks where different applications run on deployed network. Each application interprets the underlying sensor network differently and each changing event has different effect on running applications.In this paper we have proposed context aware middleware architecture called as 'MidSen'. This architecture bridges the gap between multiple...
Embedded systems are specialized computers used in larger systems or machines to control equipments such as automobiles, home appliances, communication, control and office machines. Such pervasivity is particularly evident in immersive realities, i.e., scenarios in which invisible embedded systems need to continuously interact with human users, in order to provide continuous sensed information and...
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