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Early detection of forest fires is the primary way of minimizing their damages. The authors present the design of a wireless sensor network for early detection of forest fires. The authors first present the key aspects in modeling forest fires according to the Fire Weather Index (FWI) System which is one of the most comprehensive forest fire danger rating systems in North America. Then, the authors model the forest fire detection problem as a node k-coverage problem (k ?? 1) in wireless sensor networks. The authors propose approximation algorithms for the node k-coverage problem which is shown to be NP-hard. They present a constant-factor centralized algorithm, and a fully distributed version which does not require sensors know their locations.
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