Middleware Support for Dynamic Sensing Applications

Abstract

Sensing systems are moving out of the laboratory and into the real world, where they are being applied in a growing range of application scenarios. In order to increase effectiveness and efficacy as well as the return on investment, sensor systems must increasingly become easily reconfigurable and adjustable, in order to support system evolution and optimization. Currently, software technologies for Wireless Sensor Networks (WSNs) lack the feature of dynamic sensing. This proposed project tackles the critical problem of developing software technologies and specifically middleware support that reduces the complexity of developing and managing dynamic sensing systems. Achieving this vision within the resource constraints of contemporary systems requires a radical rethinking of classic middleware design and the development of a suite of efficient supporting tools. This paper presents our on-going research which focuses on enhancing the component model along with features of dynamic sensing, with innovative components implemented based on the middleware platform LooCI (The Loosely-coupled Component Infrastructure), which has gained widespread popularity. Technological outcomes of this research will be validated in the domain of logistics, but their applications can be extended to various industrial areas.