APPROACH TO ANOMALY DETECTION IN SELF-ORGANIZED DECENTRALIZED WIRELESS SENSOR NETWORK FOR AIR POLLUTION MONITORING

Approach to Anomaly Detection in Self-Organized Decentralized Wireless Sensor Network for Air Pollution Monitoring

The paper reveals the essence and features of the proposed approach to detecting anomalies in a self-organizing decentralized wireless sensor network (WSN).As a basis for detecting anomalies, the used WSN is intended to monitor atmospheric air pollution near industrial facilities and human life objects.The distinctive features of such a network are

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