eng URI http://hdl.handle.net/10795/2996 μαθηματικά δίκτυο πληροφορικής There is a fast growing interest in exploiting Wireless Sensor Networks (WSNs) for tracking the boundaries and predicting the evolution properties of diffusive hazardous phenomena (e.g. wildfires, oil slicks etc.) often modeled as “continuous objects”. We present a novel distributed algorithm for estimating and tracking the local evolution characteristics of continuous objects. The hazard’s front line is approximated as a set of line segments, and the spatiotemporal evolution of each segment is modeled by a small number of parameters (orientation, direction and speed of motion). As the hazard approaches, these parameters are re-estimated using adhoc clusters (triplets) of collaborating sensor nodes. Parameters updating is based on algebraic closed-form expressions resulting from the analytical solution of a Bayesian estimation problem. Therefore, it can be implemented by microprocessors of the WSN nodes, while respecting their limited processing capabilities and strict energy constraints. Extensive computer simulations demonstrate the ability of the proposed distributed algorithm to estimate accurately the evolution characteristics of complex hazard fronts under different conditions by using reasonably dense WSNs. The proposed in-network processing scheme does not require sensor node clocks synchronization and is shown to be robust to sensor node failures and communication link failures, which are expected in harsh environments. 15 pp. LOMv1.0 creator LOMv1.0 publisher LOMv1.0 Scientific Coordinator LOMv1.0 Project Executing Organisation 2014-09-11 Digital Library of the Operational Programme "Education and Lifelong Learning" abstract types Text Environmental hazard Continuous object Predictive modeling Distributed estimation Bayesian estimation Wireless Sensor Networks (WSN) http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6895267 37140238 application/pdf http://repository.edulll.gr/edulll/bitstream/10795/2996/2/2996_1.70_%ce%94%ce%97%ce%9c_1_9_15.pdf URI http://hdl.handle.net/10795/2996 LOMv1.0creator 2016-05-04T12:01:21Z LOMv1.0validator 2016-05-04T12:01:21Z LOMv1.0 gre no no Copyright EYD-EPEDBM (Operational Programme "Education and Lifelong Learning")