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A Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems Using Fault Tree Analysis., , , , и . IEEE Trans. Ind. Informatics, 14 (3): 989-1000 (2018)A Measurement Study for Predicting Throughput from LQI and RSSI., , и . MACOM, том 7642 из Lecture Notes in Computer Science, стр. 89-92. Springer, (2012)Maestro: An Orchestration Framework for Large-Scale WSN Simulations., и . Sensors, 14 (3): 5392-5414 (2014)Road Surface Networks technology enablers for enhanced ITS., , , , и . VNC, стр. 152-159. IEEE, (2010)Methodologies and Practical Tools for Realistic Large Scale Simulations of Wireless Sensor Networks.. Lulea University of Technology, Sweden, (2014)base-search.net (ftluleatu:oai:DiVA.org:ltu-17052).Demo: Tethys - An Energy Harvesting Networked Water Flow Sensor., , , , , , и . SenSys, стр. 489-490. ACM, (2015)Tethys: Collecting Sensor Data without Infrastracture or Trust., , , , , и . IoTDI, стр. 249-254. IEEE Computer Society, (2018)Dependable MAC Layer Architecture Based on Holographic Data Representation Using Hyper-Dimensional Binary Spatter Codes., , , и . MACOM, том 7642 из Lecture Notes in Computer Science, стр. 134-145. Springer, (2012)Simulation Based Studies of Machine-to-Machine Communications., , , , и . Wireless Networking for Moving Objects, том 8611 из Lecture Notes in Computer Science, Springer, (2014)Reality Considerations When Designing a TDMA-FDMA Based Link-Layer for Real-Time WSN., , , и . MACOM, том 7642 из Lecture Notes in Computer Science, стр. 93-96. Springer, (2012)