A framework for measurement anomaly detection in sensor networks

The paper discusses sensor signal processing and measurement related applications of a generic framework comprising of methods, modules and interfaces distributed over wireless sensor network (WSN) platforms. This original framework was developed based on the Squawk Java Virtual Machine to run on the Sun SPOT WSN platform sensor kits available on the market. The performance of the implemented system is evaluated using simulated and real-world tests. Testing included anomaly detection in measurements and sensor signals acquired by the sensor nodes. Testing results are analysed and provided in the paper.