Literature DB >> 24324321

Optimal phase response functions for fast pulse-coupled synchronization in wireless sensor networks.

Yongqiang Wang1, Francis J Doyle.   

Abstract

Synchronization is crucial to wireless sensor networks. Recently a pulse-coupled synchronization strategy that emulates biological pulse-coupled agents has been used to achieve this goal. We propose to optimize the phase response function such that synchronization rate is maximized. Since the synchronization rate is increased independently of transmission power, energy consumption is reduced, hence extending the life of battery-powered sensor networks. Comparison with existing phase response functions confirms the effectiveness of the method.

Entities:  

Keywords:  Pulse-coupled oscillators; phase response function; synchronization rate; wireless sensor networks

Year:  2012        PMID： 24324321      PMCID： PMC3855230          DOI： 10.1109/TSP.2012.2208109

Source DB:  PubMed          Journal:  IEEE Trans Signal Process        ISSN： 1053-587X            Impact factor:   4.931


  9 in total

Review 1.  Forty years of PRCs--what have we learned?

Authors:  C H Johnson
Journal:  Chronobiol Int       Date:  1999-11       Impact factor: 2.877

2.  Synchronization of pulse-coupled oscillators with a refractory period and frequency distribution for a wireless sensor network.

Authors:  Keiji Konishi; Hideki Kokame
Journal:  Chaos       Date:  2008-09       Impact factor: 3.642

3.  Class-II neurons display a higher degree of stochastic synchronization than class-I neurons.

Authors:  Sashi Marella; G Bard Ermentrout
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-04-29

4.  When inhibition not excitation synchronizes neural firing.

Authors:  C Van Vreeswijk; L F Abbott; G B Ermentrout
Journal:  J Comput Neurosci       Date:  1994-12       Impact factor: 1.621

5.  Experimental verification of synchronization in pulse-coupled oscillators with a refractory period and frequency distribution.

Authors:  Takuya Okuda; Keiji Konishi; Naoyuki Hara
Journal:  Chaos       Date:  2011-06       Impact factor: 3.642

6.  On influences of global and local cues on the rate of synchronization of oscillator networks.

Authors:  Yongqiang Wang; Francis J Doyle
Journal:  Automatica (Oxf)       Date:  2011-06-01       Impact factor: 5.944

7.  Increasing sync rate of pulse-coupled oscillators via phase response function design: theory and application to wireless networks.

Authors:  Yongqiang Wang; Felipe Núñez; Francis J Doyle
Journal:  IEEE Trans Control Syst Technol       Date:  2012-07-25       Impact factor: 5.485

Review 8.  Pulse coupled oscillators and the phase resetting curve.

Authors:  Carmen C Canavier; Srisairam Achuthan
Journal:  Math Biosci       Date:  2010-05-10       Impact factor: 2.144

9.  Energy-efficient pulse-coupled synchronization strategy design for wireless sensor networks through reduced idle listening.

Authors:  Yongqiang Wang; Felipe Núñez; Francis J Doyle
Journal:  IEEE Trans Signal Process       Date:  2012-06-20       Impact factor: 4.931
  9 in total
  3 in total

1.  Statistical analysis of the pulse-coupled synchronization strategy for wireless sensor networks.

Authors:  Yongqiang Wang; Felipe Núñez; Francis J Doyle
Journal:  IEEE Trans Signal Process       Date:  2013-07-30       Impact factor: 4.931

2.  Exponential synchronization rate of Kuramoto oscillators in the presence of a pacemaker.

Authors:  Yongqiang Wang; Francis J Doyle
Journal:  IEEE Trans Automat Contr       Date:  2012-08-27       Impact factor: 5.792

3.  Travelling Wave Pulse Coupled Oscillator (TWPCO) Using a Self-Organizing Scheme for Energy-Efficient Wireless Sensor Networks.

Authors:  Zeyad Ghaleb Al-Mekhlafi; Zurina Mohd Hanapi; Mohamed Othman; Zuriati Ahmad Zukarnain
Journal:  PLoS One       Date:  2017-01-05       Impact factor: 3.240
  3 in total

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