An Efficient Context Model for Fast Responsiveness of Context-Aware Services in Mobile Networks

Sensor-equipped mobile devices have allowed users to participate in various social networking services. We focus on proximity-based mobile social networking environments where users can share information obtained from different places via their mobile devices when they are in proximity. Since people are more likely to share information if they can benefit from the sharing or if they think the information is of interest to others, there might exist community structures where users who share information more often are grouped together. Communities in proximity-based mobile networks represent social groups where connections are built when people are in proximity. We consider information influence (i.e., specify who shares information with whom) as the connection and the space and time related to the shared information as the contexts. To model the potential information influences, we construct an influence graph by integrating the space and time contexts into the proximity-based contacts of mobile users. Further, we propose a two-phase strategy to detect and track context-aware communities based on the influence graph and show how the context-aware community structure improves the performance of two types of mobile social applications.

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MASEMUL: A Simulation Tool for Movement-Aware MANET Scheduling Strategies for Multimedia Communications

Wireless Communications and Mobile Computing ◽

10.1155/2021/6651402 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Moustafa M. Nasralla ◽

Iván García-Magariño ◽

Jaime Lloret

Keyword(s):

Mobile Networks ◽

Content Delivery ◽

Multimedia Communications ◽

Multimedia Traffic ◽

Simulation Tool ◽

Context Aware ◽

Mobile Nodes ◽

Multimedia Services ◽

Agent Based ◽

Common Strategy

The last decade has witnessed a steep growth in multimedia traffic due to real-time content delivery such as in online games and video conferencing. In some contexts, MANETs play a key role in the hyperconnectivity of everything in multimedia services. In this context, this work proposes a new scheduling approach based on context-aware mobile nodes for their connectivity. The contribution relies on reporting not only the locations of devices in the network but also their movement identified by sensors. In order to illustrate this approach, we have developed a novel agent-based simulator called MASEMUL for illustrating the proposed approach. The results show that a movement-aware scheduling strategy defined with the proposed approach has decreased the ratio of channel interruptions over another common strategy in mobile networks.

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Context Aware Multiparty Session Support for Adaptive Multicasting in Heterogeneous Mobile Networks

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - MobileWireless Middleware, Operating Systems, and Applications ◽

10.1007/978-3-642-01802-2_25 ◽

2009 ◽

pp. 340-351 ◽

Cited By ~ 5

Author(s):

Josephine Antoniou ◽

Christian Riede ◽

Filipe Cabral Pinto ◽

Andreas Pitsillides

Keyword(s):

Mobile Networks ◽

Context Aware ◽

Heterogeneous Mobile Networks

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A Petri-Net Based Context Representation in Smart Car Environment

Mobile and Handheld Computing Solutions for Organizations and End-Users ◽

10.4018/978-1-4666-2785-7.ch011 ◽

2013 ◽

pp. 189-201

Author(s):

Jie Sun ◽

Yongping Zhang ◽

Jianbo Fan

Keyword(s):

Petri Net ◽

Context Aware ◽

Context Model ◽

Complex Interactions ◽

Road Congestion ◽

Complex Process ◽

Wide Range

Driving is a complex process influenced by a wide range of factors, especially complex interactions between the driver, the vehicle, and the environment. This paper represents the complex situations in smart car domain. Unlike existing context-aware systems which isolate one context situation from another, such as road congestion and car deceleration, this paper proposes a context model which considers the driver, vehicle and environment as a whole. The paper tries to discover the inherent relationship between the situations in the smart car environment, and proposes a context model to support the representation of situations and their correlation. The detailed example scenarios are given to illustrate our idea.

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Design of Wearable Computing Systems for Future Industrial Environments

Handbook of Research on Mobility and Computing ◽

10.4018/978-1-60960-042-6.ch075 ◽

2011 ◽

pp. 1226-1245

Author(s):

Pierre Kirisci ◽

Ernesto Morales Kluge ◽

Emanuel Angelescu ◽

Klaus-Dieter Thoben

Keyword(s):

Mobile Computing ◽

Design Process ◽

Reference Model ◽

Wearable Computing ◽

Computing System ◽

Context Aware ◽

Context Model ◽

Computing Systems ◽

Model Driven ◽

Industrial Environments

During the last two decades a lot of methodology research has been conducted for the design of software user interfaces (Kirisci, Thoben 2009). Despite the numerous contributions in this area, comparatively few efforts have been dedicated to the advancement of methods for the design of context-aware mobile platforms, such as wearable computing systems. This chapter investigates the role of context, particularly in future industrial environments, and elaborates how context can be incorporated in a design method in order to support the design process of wearable computing systems. The chapter is initiated by an overview of basic research in the area of context-aware mobile computing. The aim is to identify the main context elements which have an impact upon the technical properties of a wearable computing system. Therefore, we describe a systematic and quantitative study of the advantages of context recognition, specifically task tracking, for a wearable maintenance assistance system. Based upon the experiences from this study, a context reference model is proposed, which can be considered supportive for the design of wearable computing systems in industrial settings, thus goes beyond existing context models, e.g. for context-aware mobile computing. The final part of this chapter discusses the benefits of applying model-based approaches during the early design stages of wearable computing systems. Existing design methods in the area of wearable computing are critically examined and their shortcomings highlighted. Based upon the context reference model, a design approach is proposed through the realization of a model-driven software tool which supports the design process of a wearable computing system while taking advantage of concise experience manifested in a well-defined context model.

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Mobile Spatial Interaction and Mediated Social Navigation

Encyclopedia of Information Science and Technology, Second Edition ◽

10.4018/978-1-60566-026-4.ch415 ◽

2011 ◽

pp. 2604-2608

Author(s):

Mark Bilandzic ◽

Marcus Foth

Keyword(s):

Web 2.0 ◽

Mobile Devices ◽

Mobile Networks ◽

Spatial Interaction ◽

Value Added ◽

Handheld Devices ◽

Context Aware ◽

Social Navigation ◽

Global Positioning ◽

Community Platforms

The increasing ubiquity of location and context-aware mobile devices and applications, geographic information systems (GIS) and sophisticated 3D representations of the physical world accessible by lay users is enabling more people to use and manipulate information relevant to their current surroundings (Scharl & Tochtermann, 2007). The relationship between users, their current geographic location and their devices are summarised by the term “mobile spatial interaction” (MSI), and stands for the emerging opportunities and affordances that location sensitive and Internet capable devices provide to its users. The first major academic event which coined the term in its current usage was a workshop on MSI (see http://msi.ftw.at/) at the CHI 2007 (Fröhlich et al., 2007). Mobile spatial interaction is grounded in a number of technologies that recently started to converge. First, the development of mobile networks and mobile Internet technologies enables people to request and exchange specific information from anywhere at anytime. Using their handheld devices people can, for example, check the latest news, request recent stock exchange values or communicate via mobile instant messaging. The second enabler is global positioning technology. Mobile devices with integrated Global Positioning System (GPS) receivers—soon to be joined by the Russian Global Navigation Satellite System (GLONASS) and the European Galileo system—are aware of their current latitude and longitude coordinates and can use this data as value added information for context-aware services, that is, mobile applications that refer to information relevant to the current location of the user. A possible use scenario for such an information request would be, for example, “find all clubs and pubs in a radius of 500 meters from my current position.” The focus of this work is to enrich the opportunities given by such location aware services with selected Web 2.0 design paradigms (Beer & Burrows, 2007; Kolbitsch & Maurer, 2006) toward mobile social networking services that are bound to specific physical places. User participation, folksonomy and geotagging are three design methods that have become popular in Web 2.0 community-platforms and proven to be effective information management tools for various domains (Casey & Savastinuk, 2007; Courtney, 2007; Macgregor & McCulloch, 2006). Applying such a design approach for a mobile information system creates a new experience of collaboration between mobile users, a step toward what Jaokar refers to as the Mobile Web 2.0 (Jaokar & Fish, 2006), that is, a chance for mediated social navigation in physical spaces.

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