Neuronal signaling optimization for intrabody nanonetworks
Neuronal signaling optimization for intrabody nanonetworks
复制标题
体内纳米网络的神经信号优化
DOI：
10.1109/dictap.2014.6821659
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Dung H. Phan
中科院分区：
文献类型：
--
作者：
J. Suzuki;P. Boonma;Dung H. Phan
本文将自然神经元视为物理通信介质，并在物理层之上定义了时分多址（TDMA）通信协议来构建体内纳米网络，每个网络都连接纳米级节点以在体内执行传感和驱动任务，用于生物医学和假肢目的。所提出的协议称为 Neuronal TDMA，利用一种新颖的进化多目标优化算法 (EMOA)，针对相互冲突的优化目标（例如信令延迟和公平性）寻求网络中各个节点的最佳信令调度，同时避免信号干扰。仿真结果表明，所提出的 EMOA 有效地获得了高质量的 TDMA 信令调度，并且优于现有的 EMOA。
This paper considers natural neurons as a physical communication medium and defines a Time Division Multiple Access (TDMA) communication protocol on top of the physical layer to construct intrabody nanonetworks, each of which networks nanoscale nodes to perform sensing and actuation tasks in the body for biomedical and prosthetic purposes. The proposed protocol, called Neuronal TDMA, leverages a novel evolutionary multiobjective optimization algorithm (EMOA) to seek the optimal signaling schedule for individual nodes in the network with respect to conflicting optimization objectives such as signaling delay and fairness while avoiding signal interference. Simulation results show that the proposed EMOA efficiently obtains quality TDMA signaling schedules and outperforms existing EMOAs.