| Paper Abstract and Keywords |
| Presentation |
2026-07-30 13:25
[Invited Lecture]
Fluctuation Reduction and Implementation of Autonomous Decentralized Collision Avoidance via Desynchronization of Nonlinear Oscillators Kana Kubota, Dai Kojima (Tokyo Univ. of Science), Hiroyuki Yasuda (Chiba Inst. of Tech.), Song-Ju Kim (SOBIN), Ryosuke Isogai, Yoshifumi Yoshida (Seiko Future Creation), Jin Nakazato (Tokyo Univ. of Science), Maki Arai (Shibaura Inst. of Tech.), Mikio Hasegawa (Tokyo Univ. of Science) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In high-density IoT environments where many devices share the same wireless channel, frequent packet collisions degrade communication quality, necessitating efficient and energy-saving access control. An autonomous decentralized collision avoidance method based on nonlinear oscillator synchronization has been proposed in prior work. Each device internally computes a phase oscillator model and transmits packets at a specific phase. Based on the phase difference to its closest-phase neighbor, each device adjusts its own phase to move away from the neighbor through a coupling function, and by repeating this interaction, all devices converge to equally spaced transmission timings, thereby avoiding collisions. However, the conventionally used sinusoidal coupling function retains strong interactions after convergence, causing large steady-state fluctuations. To address this, we adopt a linear coupling function and introduce a parameter $alpha$ controlling its slope. Experiments on the Lazurite 920J, an IEEE 802.15.4g/4e-compliant IoT device also adopted in Wi-SUN, demonstrate that adjusting $alpha$ effectively suppresses steady-state fluctuations after convergence. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
IoT / nonlinear oscillator / collision avoidance / autonomous decentralized control / / / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
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| Date of Issue |
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| ISSN |
Online edition: ISSN 2432-6380 |
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