Leach (low energy adaptive clustering hierarchy) algorithm is a self-clustering topology algorithm. Its execution process is cyclical. Each cycle is divided into two phases: cluster building phase and stable data communication phase. In the stage of cluster building, the adjacent nodes cluster dynamically and randomly generate cluster heads. In the data communication phase, the nodes in the cluster send the data to the cluster head, and the cluster head performs data fusion and sends the results to the aggregation node. Because the cluster head needs to complete data fusion, communication with the convergence node and other works, the energy consumption is large. Leach algorithm can ensure that each node acts as cluster head with equal probability, so that the nodes in the network consume energy relatively evenly. The basic idea of Leach algorithm is to randomly select cluster head nodes in a circular way. It evenly distributes the energy load of the whole network to each sensor node in the network. It can reduce network energy consumption and improve network life cycle. Leach repeatedly performs cluster refactoring during its operation. This paper studies the parameter detection of wireless sensor network based on Leach algorithm on the on-chip embedded debugging system. Because the classical low-power adaptive clustering layered protocol (Leach) has the problem of energy imbalance and short node life cycle, this paper uses embedded debugging technology based on Leach algorithm and the residual energy and position of nodes in wireless sensor networks were tested for research. This Leach algorithm uses the concept of wheel. Each round consists of two phases: initialization and stabilization. In the initialization stage, each node generates a random number between 0 and 1. If the random number generated by a node is less than the set threshold T (n), the node publishes a message that it is a cluster head. Through the research on the parameter detection, the simulation results show that the research in this paper has good feasibility and rationality.

中文翻译：

---

基于Leach算法参数的片上嵌入式调试系统在无线传感器网络检测中的应用

渗滤（低能量自适应聚类层次结构）算法是一种自聚类拓扑算法。它的执行过程是周期性的。每个周期分为两个阶段：集群构建阶段和稳定数据通信阶段。在集群构建阶段，相邻节点动态集群并随机生成集群头。在数据通信阶段，群集中的节点将数据发送到群集头，然后群集头执行数据融合并将结果发送到聚合节点。由于簇头需要完成数据融合，与会聚节点的通信等工作，因此能耗很大。泄漏算法可以确保每个节点以相同的概率充当簇头，从而使网络中的节点消耗的能量相对均匀。Leach算法的基本思想是以循环方式随机选择簇头节点。它将整个网络的能量负载平均分配到网络中的每个传感器节点。它可以减少网络能耗并改善网络生命周期。Leach在其运行期间反复执行集群重构。本文在片上嵌入式调试系统中研究了基于Leach算法的无线传感器网络参数检测。由于经典的低功耗自适应聚类分层协议（Leach）存在能量不平衡和节点生命周期短的问题，因此本文采用基于Leach算法的嵌入式调试技术，并对无线传感器网络中节点的剩余能量和位置进行了测试。研究。该Leach算法使用了wheel的概念。每个回合包含两个阶段：初始化和稳定化。在初始化阶段，每个节点都会生成一个介于0和1之间的随机数。如果一个节点生成的随机数小于设置的阈值T（n），则该节点会发布一条消息，表明它是一个簇头。通过对参数检测的研究，仿真结果表明本文的研究具有良好的可行性和合理性。