Data Gathering Scheme Using Chaotic Pulse-Coupled Neural Networks for Wireless Sensor Networks
Data Gathering Scheme Using Chaotic Pulse-Coupled Neural Networks for Wireless Sensor Networks
复制标题
使用混沌脉冲耦合神经网络进行无线传感器网络的数据收集方案
DOI：
10.1587/transfun.e92.a.459
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Hisao Yamamoto
中科院分区：
文献类型：
--
作者：
H. Nakano;Akihide Utani;A. Miyauchi;Hisao Yamamoto
无线传感器网络（WSNs）吸引了大量的研究人员的兴趣，因为他们有很大的潜力，作为一种手段，获得各种环境的远程信息。无线传感器网络有着广泛的应用，如林区的自然环境监测和办公楼的环境控制。在无线传感器网络中，成百上千的微型传感器节点被部署在一个区域内，用于监测和收集环境中的传感器信息，这些节点的资源受到电池容量、内存、CPU和通信能力等的限制。因此，一个可扩展的和有效的网络控制和/或数据收集方案，以节省每个传感器节点的能量消耗，需要延长无线传感器网络的生命周期。在本文中，假设传感器节点同步间歇地相互通信，只有当他们是活跃的，以实现长期就业的无线传感器网络，我们提出了一种新的同步计划收集传感器信息，利用混沌脉冲耦合神经网络（CPCNN）。我们使用计算机模拟评估所提出的方案，并讨论其发展潜力。在仿真实验中，所提出的方案与以前的同步方案的基础上的脉冲耦合振荡器模型，以验证其有效性。
Wireless sensor networks (WSNs) have attracted a significant amount of interest from many researchers because they have great potential as a means of obtaining information of various environments remotely. WSNs have a wide range of applications, such as natural environmental monitoring in forest regions and environmental control in office buildings. In WSNs, hundreds or thousands of micro-sensor nodes with such resource limitations as battery capacity, memory, CPU, and communication capacity are deployed without control in a region and used to monitor and gather sensor information of environments. Therefore, a scalable and efficient network control and/or data gathering scheme for saving energy consumption of each sensor node is needed to prolong WSN lifetime. In this paper, assuming that sensor nodes synchronize to intermittently communicate with each other only when they are active for realizing the long-term employment of WSNs, we propose a new synchronization scheme for gathering sensor information using chaotic pulse-coupled neural networks (CPCNN). We evaluate the proposed scheme using computer simulations and discuss its development potential. In simulation experiments, the proposed scheme is compared with a previous synchronization scheme based on a pulse-coupled oscillator model to verify its effectiveness.
混沌脉冲耦合神经网络的同步及其在无线传感器网络中的应用
DOI：
--
发表时间：
2009
期刊：
Proc.of 2009 International Symposium on Nonlinear Theory and Its Applications
影响因子：
--
作者：
H.Nakano;A.Utani;A.Miyauchi;H.Yamamoto
通讯作者：
H.Yamamoto
影响因子：
0.7
作者：
Wakamiya, N;Murata, M
通讯作者：
Murata, M