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• W2527705978 abstract "Localization is one of the fundamental functions in wireless sensor networks, but it is easily affected by flip ambiguity in the presence of measurement errors. In this paper, a localization method is proposed to reduce an occurrence of flip ambiguity by analyzing the feature of the intersection corresponding to multiple constraints, and it is implemented on bilateration and trilateration. The model of unit disk graph is used to make up for the shortage of distance constraints for bilateration, and this model is estimated as a transmission range constraint. The intersection feature of the transmission range and distance constraints is analyzed to present a unique localization criterion. Similarly, the other unique localization criterion is proposed according to the feature of the intersection of three distance constraints for trilateration. Both criteria can be spread to localization between two clusters, and furthermore, they try to reduce an occurrence of flip ambiguity. Theoretical proof result shows these proposed two criteria are correct. Based on these two criteria, a localization algorithm is created with three phases. The experimental evaluation of algorithm is presented under the conditions of different scenarios and parameters, and this algorithm is shown to effectively increases the ratio of localized nodes and to decreases the occurrences of flip ambiguity." @default.
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• W2527705978 date "2016-08-01" @default.
• W2527705978 modified "2023-09-27" @default.
• W2527705978 title "A localization algorithm reducing flip ambiguities for WSNs with measurement errors" @default.
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• W2527705978 doi "https://doi.org/10.1109/iccss.2016.7586439" @default.
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