Synchronized Collective Behavior via Low-cost Communication
Hai-Tao Zhang, Michael ZhiQiang Chen, Tao Zhou

TL;DR
This paper investigates how reducing communication costs affects synchronization in self-driven particle groups, revealing optimal and counterintuitive effects across different noise and density conditions.
Contribution
It introduces a phase diagram showing how varying communication costs influence synchronization, including novel abnormal regions where less communication can enhance coherence.
Findings
Optimal message distribution minimizes redundancy
Moderate communication reduction can improve synchronization in certain regimes
Identifies three distinct phases: normal, abnormal, and disordered
Abstract
An important natural phenomenon surfaces that satisfactory synchronization of self-driven particles can be achieved via sharply reduced communication cost, especially for high density particle groups with low external noise. Statistical numerical evidence illustrates that a highly efficient manner is to distribute the communication messages as evenly as possible along the whole dynamic process, since it minimizes the communication redundancy. More surprisingly, it is discovered that there exist some abnormal regions where moderately decreasing the communication cost can even improve the synchronization performance. A phase diagram on the noise-density parameter space is given, where the dynamical behaviors can be divided into three qualitatively different phases: normal phase where better synchronization corresponds to higher communication cost, abnormal phase where moderately…
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Taxonomy
TopicsMolecular Communication and Nanonetworks · Modular Robots and Swarm Intelligence · DNA and Biological Computing
