School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Sensors (Basel). 2011;11(5):4794-807. doi: 10.3390/s110504794. Epub 2011 May 3.
As wireless sensor networks (WSNs) are increasingly being deployed in some important applications, it becomes imperative that we consider application requirements in in-network processes. We intend to use a WSN to aid information querying and navigation within a dynamic and real-time environment. We propose a novel method that relies on the heat diffusion equation to finish the navigation process conveniently and easily. From the perspective of theoretical analysis, our proposed work holds the lower constraint condition. We use multiple scales to reach the goal of accurate navigation. We present a multi-scale gradient descent method to satisfy users' requirements in WSNs. Formula derivations and simulations show that the method is accurately and efficiently able to solve typical sensor network configuration information navigation problems. Simultaneously, the structure of heat diffusion equation allows more flexibility and adaptability in searching algorithm designs.
随着无线传感器网络（WSNs）在一些重要应用中越来越多地被部署，我们必须考虑在网络内处理应用需求。我们打算使用 WSN 来辅助动态实时环境中的信息查询和导航。我们提出了一种新的方法，该方法依赖于热扩散方程来方便和轻松地完成导航过程。从理论分析的角度来看，我们提出的工作具有较低的约束条件。我们使用多尺度来达到精确导航的目标。我们提出了一种多尺度梯度下降方法来满足 WSN 中的用户需求。公式推导和模拟表明，该方法能够准确有效地解决典型传感器网络配置信息导航问题。同时，热扩散方程的结构使得在搜索算法设计中具有更多的灵活性和适应性。
