Journals Proceedings

Abstract

Forest fires are among the most hazardous incidents that may cause untold suffering to mankind and irreparable damages in properties. Wireless Body Area Networks (WBANs) can be utilized in fire surveillance applications as ad-hoc mobile sensor infrastructures to enable advanced sensing and monitoring purposes. Unfortunately, implemented as stand-alone systems in hazardous areas, the WBANs are likely to face many challenges in terms of users’ mobility, communication range, and processing of the huge amount of collected data. Cloud computing is a paradigm that provides a configurable platform to enable collaborative services and to offer countless benefits including, but not limited to, the provision of omnipresent and fast service access, the support of mobility, and the freedom of deployment. This paper proposes a fire monitoring system that relies on the integration of WBANs and cloud platform and provides two-axis based contribution. First, a global architecture that tackles the important issue of structuring networks of WWANs and storage cloud platform as distributed databases in an infrastructure-less environment is proposed. Second, an active real-time querying approach is designed to efficiently analyze either the stored real-time data collections or to evaluate instantaneously the WBANs’ continuous data streams.