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E-health is one of the domains which will need more and more IoT solutions in the future, as it requires short delays for life-dependency situations and safe local storage spaces for privacy matters. The emergency context demands efficient communication and computing capacities, and the cloud vision as well as traditional TCP/IP way of communication cannot really suit these requirements. New approaches...
Edge computing is an increasingly popular paradigm, wherein computation comes closer to the sources of data. A key challenge for edge computing is discovering and utilizing the heterogeneous resources of the vast number of mobile devices at the network edge. Mobile edge devices hide behind private networks, they are mobile and their owners hesitate to share them due to privacy considerations. We propose...
Our life is becoming faster day by day by the blessing of the internet of things (IoT). It plays a vital role to reduce the time to complete a computer-based or IT related work. Cloud and fog computing are one of the main elements of IoT which helps to provide service accurately in fewer times. A significant portion of the work related to fog and cloud computing indicates that fog computing is better...
Future intelligent transportation systems and applications are expected to greatly benefit from the integration with a cloud computing infrastructure for service reliability and efficiency. More recently, fog computing has been proposed as a new computing paradigm to support low-latency and location-aware services by moving the execution of application logic on devices at the edge of the network in...
Internet of Things (IoT) will be one of the driving application for digital data generation in the next years as more than 50 billions of objects will be connected by 2020. IoT data can be processed and used by different devices spread all over the network. The traditional way of centralizing data processing in the Cloud can hardly scale because it cannot satisfy many of the latency critical IoT applications...
Industry 4.0 aims to dramatically enhance the productivity of manufacturing technologies through the collection and analysis of real-time data. This combines the ubiquity of the IoT with the processing capabilities of cloud computing to generate insights that help to optimize the decision making process. The increasing demand of data and the explosion in the number of sensing devices, which might...
As the number of low cost computing devices at the edge of communication network increase, there are greater opportunities to enable innovative capabilities, especially in cyber-physical systems. For example, micro-grid power systems can make use of computing capabilities at the edge of a Smart Grid to provide more robust and decentralized control. However, the downside to distributing intelligence...
The Internet of Things applications must carefully assess certain crucial factors such as the real-time and largely distributed nature of the “things”. Fog Computing provides an architecture to satisfy those requirements through nodes located from near the “things” till the edge. The problem comes with the integration of the Fog nodes into current infrastructures. This process requires the development...
Continuous growing interest in IoT applications particularly for a smart city setting has attracted many researchers. E-health applications in IoT networks are the newest area of interest in this research field. On the other hand, networking and communications fields are witnessing a revolution through the new concepts of Mobile Edge Computing (MEC) characterised by latency sensitivity and geographical...
In this paper, we are visualizing a military health service (MHS) platform which is based on hierarchical IoT architecture. We propose a semantic Edge based network model which plays a significant role for communicating tactical and non-tactical piece of information over the network. Further, the exchange of information and subsequent data analysis on the MHS makes the system intelligent and smart...
Exploiting the network's edge is trending nowadays due to the evolution end devices, e.g., IoTs and smartphones. In this work, we present LAMEN1, an initial attempt to execute services at the network's edge closer to data sources. Unlike crowdsensing approaches, which use end devices as data collectors wasting the bandwidth in transmission to cloud servers for processing. LAMEN proposes a layered...
With the bloom of data generation devices at the network-edge, obtaining data intelligence in real-time posed problems due to network incompetence. In this paper we present a novel computation model based on Fog computing that take advantage of its low latency computing capabilities. A proof of concept is designed on top of the computation model as a layered system architecture that consists of sensors...
This Fog computing is basically a concept which extends cloud computing theory to the edge of the network. Fog provides data, compute storage and application services to the end-user. This facilitates new variety of application and services. The Internet of Things represents a new age of information and communication technologies from anytime, anyplace connectivity for anybody. Application of fog...
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