DocumentCode :
64622
Title :
Estimating the Spatiotemporal Evolution Characteristics of Diffusive Hazards Using Wireless Sensor Networks
Author :
Manatakis, Dimitris V. ; Manolakos, Elias S.
Author_Institution :
Dept. of Inf. & Telecommun., Univ. of Athens, Athens, Greece
Volume :
26
Issue :
9
fYear :
2015
fDate :
Sept. 1 2015
Firstpage :
2444
Lastpage :
2458
Abstract :
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 ad-hoc 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.
Keywords :
Bayes methods; ad hoc networks; hazards; wireless sensor networks; Bayesian estimation problem; WSN; ad-hoc clusters; algebraic closed-form expressions; diffusive hazards; distributed algorithm; harsh environments; hazard front line; line segment approximation; microprocessors; sensor node clocks synchronization; spatiotemporal evolution characteristics; wireless sensor networks; Hazards; Mathematical model; Probabilistic logic; Sensors; Silicon; Uncertainty; Wireless sensor networks; Bayesian estimation; Environmental hazard; continuous object; distributed estimation; predictive modeling; wireless sensor networks;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/TPDS.2014.2357033
Filename :
6895267
Link To Document :
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