Synchronization of pulse-coupled biological oscillators
SIAM Journal on Applied Mathematics
Pulse-coupled decentral synchronization
SIAM Journal on Applied Mathematics
Self-Organization of Pulse-Coupled Oscillators with Application to Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Decentralized synchronization protocols with nearest neighbor communication
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Firefly-inspired sensor network synchronicity with realistic radio effects
Proceedings of the 3rd international conference on Embedded networked sensor systems
Dynamics of Strongly Coupled Spiking Neurons
Neural Computation
DESYNC: self-organizing desynchronization and TDMA on wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Fireflies as role models for synchronization in ad hoc networks
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
A scalable synchronization protocol for large scale sensor networks and its applications
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Neural Networks
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Natural phenomena such as the synchronization of fireflies, interactions between neurons, and the formation of earthquakes are commonly described by the mathematical model of pulse-coupled oscillators. This article investigates the behavior of this model when oscillators form a meshed network, i.e. nodes are not directly coupled to all others. In order to characterize the synchronization process of populations of coupled oscillators we propose a metric that allows to characterize the level of local synchronization. We demonstrate the merits of the proposed local metric by means of two case studies that examine the effect of imperfections on the synchronization process, namely the presence of frequency drifts and propagation delays.