Application of Thermal Actuator

Abstract: Wireless Sensor Networks (WSNs) have emerged as one of the most important research areas, with huge impact on technology enhancement. Large numbers of limited resource sensor nodes operate autonomously to collaborate and manage the wireless networks, through which critical raw data are collected and transmitted to the end users/decision makers. WSNs have been used in critical application scenarios, such as remote patient health monitoring system, home automation, sales tracking, enemy target monitoring and tracking and fire detection system, where the dependability of WSNs becomes very important. Such applications prefer to have complete and accurate data. But WSNs can be susceptible to anomalies due to cheap unreliable hardware and software, and unfavorable operating environment that can affect the network communication. These anomalies must be detected as they can cause failures in the network and hence affect quality of collected data. In this paper, we study the anomalies in WSN, desirable properties of anomaly detection techniques and analyze the various anomaly detection techniques for wireless sensor networks.

Keywords: Wireless sensor network (WSN), Data anomaly detection, Detection effectiveness, Detection efficiency, Energy consumption.