Data aggregation based link loss inference in wireless sensor networks

Network performance and quality estimations are much sought parameters in network applications. Performance evaluation and monitoring approaches are unreliable and suffer from high packet transmission cost. This work proposes a performance analysis algorithm (First-last Trail) for investigating network quality estimation. Considering the drawbacks of active measurements in WSN, the proposed method is based on passive end-to-end measurements for inferring the link loss rate. Simulation results prove the efficiency of the proposed method over the existing topological model based strategies.