Title: An ambient intelligence framework for large-scale eco-aware systems

Authors: Mudasser Iqbal; Hock Beng Lim

Addresses: Intelligent Systems Center, Nanyang Technological University, Singapore ' Intelligent Systems Center, Nanyang Technological University, Singapore

Abstract: Large-scale ambient intelligence needs the vision of anytime–anywhere to be extended to anytime–anywhere–anything (A3). Thus, a mix of computing, communication and interface technologies remain limited in providing seamless access to services if the data and services are non-sharable. This limits us from addressing critical issues such as climate change that require large-scale ambient presence of sensing infrastructures integrated with heterogeneous scientific processes and data sources for monitoring our earth resources consumption and carbon footprints with highest possible resolution. Thus, we propose a smart sensor grid (S2G) infrastructure that forms the key resource sharing backbone and provides secure access to valuable sensor, computational, data and storage resources for supporting large-scale ambient intelligence. A test bed implementation of the proposed framework as an eco-aware work place is also described that provides a sensor grid-based infrastructure for monitoring and minimising resource consumption at individual levels and building eco-aware work place models.

Keywords: AMI; ambient intelligence; context-aware; semantic networks; smart spaces; eco-aware; adaptive communications; smart sensor grid; resource sharing; secure access; security; resource consumption; carbon footprint; sensing infrastructure; environmental monitoring.

DOI: 10.1504/IJAACS.2011.043476

International Journal of Autonomous and Adaptive Communications Systems, 2011 Vol.4 No.4, pp.338 - 360

Published online: 24 Jan 2015 *

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