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A Grid-Based Localization Technique for Forest Fire Surveillance in Wireless Sensor Networks: Design, Analysis, and Experiment
Abstract
This chapter presents a novel grid-based localization technique dedicated for forest fire surveillance systems. The proposed technique estimates the location of sensor node based on the past and current set of hop-count values, which are to be collected through the anchor nodes’ broadcast. The authors’ algorithm incorporates two salient features, grid-based output and event-triggering mechanism, in order to improve the accuracy while reducing the power consumption. The estimated computational complexity of the proposed algorithm is O(Na) where Na is the number of anchor nodes. Through computer simulation, results showed that the proposed algorithm shows that the probability to localize a sensor node within a small region is more than 60%. Furthermore, the algorithm was implemented and tested with a set of Crossbow sensors. Experimental results demonstrated the high feasibility of good performance with low power consumption with the proposed technique.
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