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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 1, NO. 11, NOVEMBER 2006 1 Adaptive Energy Conserving Algorithms for
 

Summary: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 1, NO. 11, NOVEMBER 2006 1
Adaptive Energy Conserving Algorithms for
Neighbor Discovery in Opportunistic Bluetooth
Networks
Catalin Drula, Cristiana Amza, Franck Rousseau, and Andrzej Duda
Abstract-- 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
time of 1 s the power consumption is just 1.5 times that of the idle
mode on our devices. We then introduce two adaptive algorithms

  

Source: Amza, Cristiana - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Computer Technologies and Information Sciences