Masaaki Date

Distributed Time Division Pattern Formation for Wireless Communication Networks

This paper proposes a novel communication timing control for wireless sensor networks, named Phase Diffusion Time Division method. This is based on the mutual synchronization of coupled phase oscillatory dynamics with a stochastic adaptation, according to the history of collision frequency in communication nodes. Through local and fully distributed interactions in the communication network, the coupled phase dynamics self-organizes an efficient time division pattern of the communication so that the network reduces the collision frequency by diffusion of the phase pattern, while it sustains sufficient throughput of the communications. We introduce the built-in virtual node dynamics model for sensor device, to implement impulse signal based interactions. This method is designed for applications in a regular grid model of the wireless network, but it can be extended to an irregular grid model as simulation results illustrate, where the proposed method outperforms CSMA method in the efficiency.

Phase diffusion time division method for wireless communication network

This paper proposes a novel communication timing control for a wireless sensor network, named phase diffusion time division method. This is based on the mutual synchronization of coupled phase oscillatory dynamics with a stochastic adaptation, according to the history of collision frequency in the communication node. Through local and fully distributed interactions in the communication network, the dynamics self-organizes an efficient communication pattern, such that the network reduces the collision frequency by diffusion of the phase pattern, but also it sustains the sufficient throughput of communications by the stochastic adaptation. This method is designed for applications in a regular grid model of the wireless network, but it is also extended to the irregular grid model as simulation results exemplify the efficiency.

Autonomous synchronization scheme access control for sensor network

This paper describes a novel distributed communication timing control for wireless sensor networks. For collision avoidance among sensor nodes, communication slots are allocated with a centralized controller in TDMA, however, we propose Phase Diffusion Synch-Alliance model as a fully distributed communication timing control. This model is based on the coupled phase-oscillator dynamics to dynamically adjust communication timing where phase synchronization and repulsion are coordinated depending on the network topology.

Communication Timing Control based on Coupled-Phase Dynamics Coordination

This paper describes a fully distributed communication timing control method for wireless sensor networks, which exploits the properties of the emergent behavior of coupled phase oscillatory dynamics. Assuming the periodic data communications in massively distributed and locally interacting sensor nodes, a phase oscillatory dynamics is employed to realize a collision free communication timing control. For this purpose, we propose Phase Diffusion Synch- Alliance (PDSA) method, where coordination in repulsive and synchronous actions in the phase dynamics will take an essential role to self-organize a phase difference pattern corresponding to an efficient communication timing pattern in the distributed sensor nodes. We formulate the method and conduct simulations to verify effectiveness of PDSA.