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This paper focuses on designing autonomous device discovery algorithms for Bluetooth networks. The paper first extends the conventional asymmetric Bluetooth link model to three point-to-point symmetric link models. Their performances are compared analytically. To achieve proximity awareness among a group of Bluetooth devices, three control information exchanging methods are also proposed. Combining with the three link models, this gives 9 possible variants of autonomous device discovery algorithm. A comprehensive comparative study based on these 9 variants is then carried out using Bluehoc simulator.
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