Wireless Sensor Network Dataset

This dataset is designed for research and development in Wireless Sensor Networks (WSNs), focusing on decentralized power scheduling for reliable signal detection in unstructured environments. It simulates sensor nodes with attributes related to energy consumption, transmission power, signal strength, noise levels, and environmental factors.The target variable, Detection_Accuracy (%), is influenced by factors such as signal strength, noise level, energy efficiency, and optimization algorithms.This dataset is suitable for applications in machine learning, IoT network optimization, energy-efficient communication, and adaptive WSN deployments.

本数据集专为无线传感器网络（Wireless Sensor Networks，WSNs）领域的研发工作打造，聚焦非结构化环境下保障可靠信号检测的分布式功率调度研究。该数据集模拟了具备能耗、发射功率、信号强度、噪声水平及环境相关属性的传感器节点。其目标变量为检测准确率（Detection_Accuracy (%)），该指标受信号强度、噪声水平、能源效率与优化算法等因素共同影响。本数据集可应用于机器学习、物联网（Internet of Things，IoT）网络优化、节能通信以及自适应无线传感器网络部署等相关场景。

搜集汇总

背景与挑战

背景概述

该数据集专注于无线传感器网络(WSN)中的分散式功率调度研究，包含传感器节点的能耗、传输功率等多维属性，目标变量是信号检测准确率。适用于机器学习算法开发和物联网网络优化应用。