Context Grouping Mechanism for Context Distribution in Ubiquitous Environments

Context distribution is a key aspect for successful applications within mobile and ubiquitous computing environments. In such environments, context information is acquired by several and multiple context sensors distributed over the environment. Applications collect and react to these data, according to predefined adaptation mechanisms. The success of these mechanisms depends on the availability of context information, which is disseminated over the network. However, in practice, only a fraction of the observable context information is required by the adaptation mechanisms. Moreover, for privacy reasons, it is important to delimitate a scope for context dissemination. In this work we address these issues by proposing a context grouping mechanism which allows the definition of groups based on the context characteristics. Each group is defined by these characteristics and delimitate a given context information set that can be distributed among group members. This approach of context grouping acts as a two-fold mechanism. On the one hand, it controls and organizes context distribution over a peer-to-peer network. On the other hand, it proposes a primary and low-level privacy mechanism for context distribution, which is an important aspect influencing context distribution.

[1]  Tatyana Yakhno,et al.  Advances in Information Systems , 2002, Lecture Notes in Computer Science.

[2]  Partha Dasgupta,et al.  Structuring Peer-to-Peer Networks Using Interest-Based Communities , 2003, DBISP2P.

[3]  Ming Zhang,et al.  Kaliphimos: A Community-Based Peer-to-Peer Group Management Scheme , 2004, ADVIS.

[4]  María Bárbara Álvarez Torres,et al.  On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops , 2004, Lecture Notes in Computer Science.

[5]  Jadwiga Indulska,et al.  Middleware for Distributed Context-Aware Systems , 2005, OTM Conferences.

[6]  Mika Ylianttila,et al.  ISE02-6: Analysis of Peer-to-Peer SIP in a Distributed Mobile Middleware System , 2006, IEEE Globecom 2006.

[7]  Federica Paganelli,et al.  A Context Model for Context-Aware System Design Towards the Ambient Intelligence Vision: Experiences in the eTourism Domain , 2006, Universal Access in Ambient Intelligence Environments.

[8]  Zhong Xin,et al.  Key Problems Research For E-commerce Databases Integration System , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[9]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[10]  Xiaoming Hu,et al.  A Peer-to-Peer Based Infrastructure for Context Distribution in Mobile and Ubiquitous Environments , 2007, OTM Workshops.

[11]  Jintao Li,et al.  PCSM: A Context Sharing Model in Peer-to-Peer Ubiquitous Computing Environment , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[12]  Kurt Geihs,et al.  A Comprehensive Context Modeling Framework for Pervasive Computing Systems , 2008, DAIS.

[13]  Marco Conti,et al.  P2P multicast for pervasive ad hoc networks , 2008, Pervasive Mob. Comput..

[14]  Kurt Geihs,et al.  A Context Query Language for Pervasive Computing Environments , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).

[15]  C. Stephanidis,et al.  Universal Access in Ambient Intelligence Environments , 2008 .

[16]  Aaron J. Quigley,et al.  Special Interest Messaging: A Comparison of IGM Approaches , 2010, Comput. J..