Session and Network Support for Autonomous Context-Aware Multiparty Communications in Heterogeneous Mobile Systems

Abstract

The increase of networking complexity requires the design of new performance optimization schemes for delivering different types of sessions to users under different conditions. In this regard, special attention is given to multi-homed environments, where mobile devices cross areas with overlapping access technologies (Wi-Fi, 3G, WiMax). In such a scenario, efficient multiparty delivery depends upon the grouping operation, which must be done based on several parameters. In this paper, the authors propose context-aware sub-grouping of content-based service groups so that the same service session can be delivered using different codings of the same content, adapting to current network, users, session, and environment context. The context-aware information is used to improve the sub-grouping process. This paper aims to describe these sub-grouping techniques, and in particular how they improve network performance and user experience in the future Internet by focusing on the improved network-level and session-level mechanisms.

Autonomic Context-Aware Wireless Sensor Networks

“…Centralized context provider (a.k.a. context server) approach is widely adopted; however it imposes several performance issues [11,12].…”

Advanced resource provisioning in context-sensitive converged networks

“…Taking advantage of that, the Context Casting (C-CAST) project [1] was motivated by the inefficiency of current Internet architecture and existing solutions to efficiently provision personalized multi-user sessions over converged networks. For that, an innovating context-sensitive architecture, called Legacy C-CAST [2], defines mechanisms to: (i) manage context and session group enablers for context representation, context assisted group management and context reasoning; (ii) collect sensor data, distribute context information and manage context-aware multiparty transport efficiently; (iii) and deploy context-driven content creation, adaptation and media delivery over converged networks.…”