%0 Journal Article
%T Explicit Context Matching in Content-Based Publish/Subscribe Systems
%A Sergio Vavassori
%A Javier Soriano
%A David Lizcano
%A Miguel Jim¨Śnez
%J Sensors
%D 2013
%I MDPI AG
%R 10.3390/s130302945
%X Although context could be exploited to improve performance, elasticity and adaptation in most distributed systems that adopt the publish/subscribe (P/S) communication model, only a few researchers have focused on the area of context-aware matching in P/S systems and have explored its implications in domains with highly dynamic context like wireless sensor networks (WSNs) and IoT-enabled applications. Most adopted P/S models are context agnostic or do not differentiate context from the other application data. In this article, we present a novel context-aware P/S model. SilboPS manages context explicitly, focusing on the minimization of network overhead in domains with recurrent context changes related, for example, to mobile ad hoc networks (MANETs). Our approach represents a solution that helps to effciently share and use sensor data coming from ubiquitous WSNs across a plethora of applications intent on using these data to build context awareness. Specifically, we empirically demonstrate that decoupling a subscription from the changing context in which it is produced and leveraging contextual scoping in the filtering process notably reduces (un)subscription cost per node, while improving the global performance/throughput of the network of brokers without altering the cost of SIENA-like topology changes.
%K content-based publish/subscribe
%K context-awareness
%K contextual scoping
%K overlay network
%U http://www.mdpi.com/1424-8220/13/3/2945