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2007

Adaptive energy conserving algorithms for neighbor discovery in opportunistic Bluetooth networks

8 years 11 months ago
Adaptive energy conserving algorithms for neighbor discovery in opportunistic Bluetooth networks
— In this paper, we introduce and evaluate novel adaptive schemes for neighbor discovery in Bluetooth-enabled ad-hoc networks. In an ad-hoc peer-to-peer setting, neighbor search is a continuous, hence battery draining process. In order to save energy when the device is unlikely to encounter a neighbor, we adaptively choose parameter settings depending on a mobility context to decrease the expected power consumption of Bluetooth-enabled devices. For this purpose, we first determine the mean discovery time and power consumption values for different Bluetooth parameter settings through a comprehensive exploration of the parameter space by means of simulation validated by experiments on real devices. The fastest average discovery time obtained is 0.2 s, while at an average discovery
Catalin Drula, Cristiana Amza, Franck Rousseau, An
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2007
Where JSAC
Authors Catalin Drula, Cristiana Amza, Franck Rousseau, Andrzej Duda
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