The deployment of LoRaWAN (Long Range Wide Area Network) in dynamic environments, such as smart campuses, presents significant challenges in optimizing network parameters like spreading factor (SF), transmission power (TxPower), and managing mobility while ensuring reliable communication. In this paper, we first introduce the fundamental concepts of short-range and long-range communication protocols, emphasizing the specific requirements and advantages of LoRaWAN in various applications. Next, we discuss smart space solutions that integrate Edge, Fog, and Cloud computing, illustrating how these paradigms work in conjunction with both short-range and long-range communication protocols to enhance data processing and decision-making capabilities in real-time. We then present our insights and lessons learned from the deployment of LoRaWAN across the campus, focusing on the challenges encountered and the strategies employed to address them. This work provides a comprehensive overview of the methodologies applied, the results achieved, and the implications for future research and practical applications in IoT-enabled smart environments.

翻译：在智慧校园等动态环境中部署LoRaWAN（远距离广域网），面临着在确保可靠通信的同时优化扩频因子、发射功率等网络参数以及管理移动性的重大挑战。本文首先介绍了短距离与远距离通信协议的基本概念，重点阐述了LoRaWAN在不同应用场景中的特定需求与优势。接着，我们探讨了融合边缘计算、雾计算与云计算的智慧空间解决方案，阐释了这些计算范式如何与短距离及远距离通信协议协同工作，以增强实时数据处理与决策能力。随后，我们展示了在校园范围内部署LoRaWAN过程中获得的见解与经验教训，重点关注所遇到的挑战及相应的应对策略。本工作全面概述了所采用的方法论、取得的成果，以及对未来物联网智慧环境研究与实际应用的启示。