Network Proximity for Content Discovery (original) (raw)
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International Association of Engineers, 2018
This paper describes a novel approach for indoor location and integration of other services in a university campus using Bluetooth Low Energy (BLE) devices. These BLE devices broadcast a Bluetooth signal in a limited and configured range/area, thus functioning as beacons that provide useful context-aware information to nearby devices operating with custom applications. Such applications can interpret the received signals as location and provide a range of useful services to the end user (students, events attendees), namely, indoor location and navigation or personalized complex workflows that require the interaction of the end user with multiple services within the university campus.
ARTICLE IN PRESS Pervasive and Mobile Computing ( ) –
2007
Location-dependent data are central to many emerging applications, ranging from traffic information services to sensor networks. The standard pull-and push-based data dissemination models become unworkable since the data volumes and number of clients are high. We address this problem using locale covers, a subset of the original set of locations of interest, chosen to include at least one location in a suitably defined neighborhood of any client. Since location-dependent values are highly correlated with location, a query can be answered using a location close to the query point. Typical closeness measures might be Euclidean distance, or a k-nearest neighbor criterion. We show that location-dependent queries may be answered satisfactorily using locale covers. Our approach is independent of locations and speeds of clients, and is applicable to mobile clients. We also introduce a nested locale cover scheme that ensures fair access latencies, and allows clients to refine the accuracy of their information over time. We also prove two important results: one regarding the greedy algorithm for sensor covers and the other pertaining to randomized locale covers for k-nearest neighbor queries. Published by Elsevier B.V.
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Context-aware mobile media and social networks
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Abstract Context-awareness is one of the rising trends of future mobile technology, and due to advances in technology development, new application and service concepts are being developed and demonstrated in an ever-increasing manner.
International Journal of Advanced Technology and Engineering Exploration
This paper presents the development of a mobile application with contextual information delivery using proximity beacon. The aim of this study is to help the tourism industry in attracting more visitors. To execute the functions, a prototype was developed and based at Melaka Zoo, Malaysia. There are two mobile technologies used in the development of the prototype namely geofence and proximity beacon using Bluetooth. There are three phases involved in developing the prototype; feasibility study and requirement analysis, design, and development and testing. The functionality and the network performance of the developed application was successfully tested and validated. All designed and developed functions of the application were working correctly. In addition, the network performance of geofence and beacon were acceptable. Further work is recommended to ensure that the application can be applied successfully in other domains such as smart campus, smart home and smart mall applications. Besides, the development can be extended to the iOS platform.
ToGathor: A Real-time Mobile Exclusive Social Network
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Novel Applications Integrate Location and Context Information
IEEE Pervasive Computing, 2000
With the rapid spread of GPS enabled smart phones and the fact that users are almost permanently connected to the Internet, we see an evolution towards applications and services that adapt themselves using the user's context. To facilitate the development of such intelligent applications, new enabling platforms are needed to collect, distribute and exchange context information. We present CASP, a Context Aware Service Platform taking care of the aggregation and abstraction of context information. Three use cases in as many different domains are detailed: a personal content service, a desk sharing office service and a person oriented nurse call system. These services combine different kinds of context information in an easy way using the proposed platform.
A survey of context-aware mobile computing research
2000
Context-aware computing is a mobile computing paradigm in which applications can discover and take advantage of contextual information (such as user location, time of day, nearby people and devices, and user activity). Since it was proposed about a decade ago, many researchers have studied this topic and built several context-aware applications to demonstrate the usefulness of this new technology. Context-aware applications (or the system infrastructure to support them), however, have never been widely available to everyday users. In this survey of research on context-aware systems and applications, we looked in depth at the types of context used and models of context information, at systems that support collecting and disseminating context, and at applications that adapt to the changing context. Through this survey, it is clear that context-aware research is an old but rich area for research. The difficulties and possible solutions we outline serve as guidance for researchers hoping to make context-aware computing a reality.