Addressing the resource-constrained nature of wireless sensor networks, this study examines fault management, specifically comparing and discussing several common fault detection methods; the findings offer valuable guidance for the application of wireless sensor networks.

   A wireless sensor network is a network formed through the self-organization of a large number of low-cost sensor nodes capable of sensing, data processing, and wireless communication . Operating independently of infrastructure such as base stations or mobile routers, these nodes self-organize into a network using specific distributed protocols. The system collaboratively monitors, senses, and collects information regarding the environment or specific targets within the deployment area and processes this data, enabling users to access a wealth of detailed and reliable information anytime, anywhere, and under various conditions—particularly in scenarios where only wireless communication is feasible. Consequently, such network systems find wide application in fields including national defense and security, environmental monitoring, traffic management, healthcare, manufacturing, counter-terrorism, and disaster relief.

  As the scope of wireless sensor network applications continues to expand, these networks are frequently deployed in extreme environments to collect data. Due to the limited power, storage, and computational capabilities of sensor nodes—combined with harsh operating conditions—these nodes are more prone to failure than those in traditional networks. Maintaining high-quality service while minimizing energy consumption under such circumstances presents a significant challenge, and effective fault management plays a crucial role in achieving these objectives. Consequently, fault management in wireless sensor networks is of great importance.

  When a network or system failure occurs, network fault management becomes the primary tool for administrators. Consequently, fault management is, in fact, the most critical aspect of overall network management.

  However, fault management in wireless sensor networks is challenging due to the involvement of diverse vendors and equipment types, complex network topologies, and varying fault classification criteria across different organizations. From the user's perspective, the goal is seamless network operation and uninterrupted information transmission in daily life and work. Conversely, network operators and administrators aim to rapidly identify the root causes of faults whenever they occur. These multifaceted factors have contributed to the relatively slow pace of research into wireless sensor network fault management in recent years. Drawing on fault management practices in traditional networks, fault management in wireless sensor networks can be categorized into three stages: fault detection, fault diagnosis, and fault recovery.