While the application range of Internet-of-Things (IoT) is manifold, all applications have monitoring purposes in common, but they usually lack (a) data collection options independent of pre-defined timing intervals a...
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ISBN:
(纸本)9781509041305
While the application range of Internet-of-Things (IoT) is manifold, all applications have monitoring purposes in common, but they usually lack (a) data collection options independent of pre-defined timing intervals and (b) a mobile access. Both options are requested by user that what to be informed about events (e.g., accidents, noise) even when not at home offering quick reactions (e.g., calling the ambulance, police, fire department) in case of emergency. Therefore, this paper introduces WebMaDa - a mobile access framework with a fine-grained privilege management solution. It allows authorized users to monitor collected data and to request data immediately and location-independent. if the user's access for pulling data is granted, the request is forward to the collection point (node) in the network, which answers with a full data set including all data available. Since some of this data might not be relevant to the requestor, it is filtered to match the user's request and to respect his privileges. To reduce the workload of the network, consisting of constrained devices, the filtering process is delegated to the server side of the application. The prototype of WebMaDa with pull support was implemented in a modular manner in order to adapt it to user-specific requests.
While the application range of Internet-of-Things (IoT) is manifold, all applications have monitoring purposes in common, but they usually lack (a) data collection options independent of pre-defined timing intervals a...
详细信息
ISBN:
(纸本)9781509041312
While the application range of Internet-of-Things (IoT) is manifold, all applications have monitoring purposes in common, but they usually lack (a) data collection options independent of pre-defined timing intervals and (b) a mobile access. Both options are requested by user that what to be informed about events (e.g., accidents, noise) even when not at home offering quick reactions (e.g., calling the ambulance, police, fire department) in case of emergency. Therefore, this paper introduces WebMaDa - a mobile access framework with a fine-grained privilege management solution. It allows authorized users to monitor collected data and to request data immediately and location-independent. if the user's access for pulling data is granted, the request is forward to the collection point (node) in the network, which answers with a full data set including all data available. Since some of this data might not be relevant to the requestor, it is filtered to match the user's request and to respect his privileges. To reduce the workload of the network, consisting of constrained devices, the filtering process is delegated to the server side of the application. The prototype of WebMaDa with pull support was implemented in a modular manner in order to adapt it to user-specific requests.
With the advances in sensor networks and in the Internet of Things, the datamanagement problem for massive heterogeneous sensordata has become a hot research issue. It is obvious that a cloud datamanagement framewo...
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ISBN:
(纸本)9781457721205
With the advances in sensor networks and in the Internet of Things, the datamanagement problem for massive heterogeneous sensordata has become a hot research issue. It is obvious that a cloud datamanagement framework for this purpose is greatly desirable. In this paper, we propose a Relational data-Base and Key-Value store combined Cloud datamanagement (“RDB-KV CloudDB”) framework for managing sensordata. The experimental results show that the RDB-KV CloudDB can provide satisfactory performances in large scale sensor-based systems.
In this paper, we study how mobile computing and wireless technologies can be explored to provide effective ubiquitous healthcare services. Instead of reinventing the wheels, we make use of smartphones, off-the-shelf ...
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ISBN:
(纸本)9781479936311
In this paper, we study how mobile computing and wireless technologies can be explored to provide effective ubiquitous healthcare services. Instead of reinventing the wheels, we make use of smartphones, off-the-shelf components, and existing technologies in ubiquitous computing (i.e. wireless and mobile positioning technologies, and data acquisition techniques and processing via sensors) to develop a middleware, and tools for the development of systems and applications to provide effective ubiquitous healthcare services. Two main tasks to be studied are: 1) Developing a framework, called SmartHealth, to provide the infrastructure and architectural support for realizing ubiquitous healthcare services;and 2) Designing and developing ubiquitous healthcare applications by utilizing the SmartHelath framework to let users experience and benefit from the provided services. We use scenarios to illustrate how mobile/wireless and sensor technologies can enable ubiquitous healthcare services in SmartHealth. Some of the examples included in SmartHealth are: location tracking, vital signs and well-being data acquisition and analysis, fall detection and behavior monitoring, and sleep analysis. As a start, based on the SmartHealth framework, we introduce a smartphone app, called SmartMood, for tracking the mood of patients who are suffering mood disorder (i.e., manic and depression) to demonstrate how SmartHealth can effectively enable ubiquitous healthcare services.
The proper management of patient data and their accessibility are still remaining issues that prevent the full deployment and usage of pervasive healthcare applications. This paper presents an integrated health monito...
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The proper management of patient data and their accessibility are still remaining issues that prevent the full deployment and usage of pervasive healthcare applications. This paper presents an integrated health monitoring system based on mobile pervasive technologies. The system utilizes Cloud Computing for providing robust and scalable resources for sensordata acquisition, management and communication with external applications like health information systems. A prototype has been developed using both mobile and wearable sensors for demonstrating the usability of the proposed platform. Initial results regarding the performance of the system, the efficiency in datamanagement and user acceptability have been quite promising.
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