Synchronization of pulse-coupled biological oscillators
SIAM Journal on Applied Mathematics
Synchrony and desynchrony in integrate-and-fire oscillators
Neural Computation
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Sync: The Emerging Science of Spontaneous Order
Sync: The Emerging Science of Spontaneous Order
Firefly-inspired sensor network synchronicity with realistic radio effects
Proceedings of the 3rd international conference on Embedded networked sensor systems
On the scalability of cooperative time synchronization in pulse-connected networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
A synchronization metric for meshed networks of pulse-coupled oscillators
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
A Survey of Models and Design Methods for Self-organizing Networked Systems
IWSOS '09 Proceedings of the 4th IFIP TC 6 International Workshop on Self-Organizing Systems
A survey on bio-inspired networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Design and implementation of a single-frequency mesh network using OpenAirInterface
EURASIP Journal on Wireless Communications and Networking - Special issue on simulators and experimental testbeds design and development for wireless networks
Comparison of robustness of time synchronisation in sensor networks
International Journal of Autonomous and Adaptive Communications Systems
A novel approach to guarantee causal message ordering in pre-planned wireless sensor networks
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
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Fireflies exhibit a fascinating phenomenon of spontaneous synchronization that occurs in nature: at dawn, they gather on trees and synchronize progressively without relying on a central entity. The present article reviews this process by looking at experiments that were made on fireflies and the mathematical model of Mirollo and Strogatz [1], which provides key rules to obtaining a synchronized network in a decentralized manner. This model is then applied to wireless ad hoc networks. To properly apply this model with an accuracy limited only to the propagation delay, a novel synchronization scheme, which is derived from the original firefly synchronization principle, is presented, and simulation results are given.