Self-configuring BLE deep sleep network for fault tolerant WSN

This paper is focused on Wireless Sensor Network (WSN) leveraging Bluetooth Low Energy (BLE) connectivity for low energy applications which fault tolerant versus communication path failures. The topic important to create a robust sensorized environment be applied in industrial context or smart infrastructure enable scheduled monitoring with power consumption applications. Currently BLE are mainly thought home solutions, health care and positioning systems. In those the nodes continuously supplied by external suppliers. Our goal design self-configuring network synchronized deep sleep behavior, aimed optimize consumption, an overall active time interval constraint optimized data-driven method. aim find tradeoff between ability collect all data, pursuing consumption. research based protocols, interaction edge systems data collection cloud system analysis software agent optimization system. analyses different configurations describes possible algorithm used design, order reach fine-tuned control improve tolerance diagnosis of Finally experimental results compared estimates obtained via simulation tool implemented this architectural pattern.