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RF Energy Harvesting Wireless Communications: RF Environment, Device Hardware and Practical Issues.

, , , and . Sensors, 19 (13): 3010 (2019)

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Dynamic control channel MAC for underwater cognitive acoustic networks., , , and . INFOCOM, page 1-9. IEEE, (2016)Receiver-Initiated Spectrum Management for Underwater Cognitive Acoustic Network., , , , , and . IEEE Trans. Mob. Comput., 16 (1): 198-212 (2017)Harness Interference for Performance Improvement in Underwater Sensor Networks., , , and . IEEE Systems Journal, 13 (1): 258-269 (2019)RF Energy Harvesting Wireless Communications: RF Environment, Device Hardware and Practical Issues., , , and . Sensors, 19 (13): 3010 (2019)Aqua-Sim Next Generation: A NS-3 Based Simulator for Underwater Sensor Networks., , , , , , and . WUWNet, page 18:1-18:2. ACM, (2015)Revisiting Transmission Scheduling in RF Energy Harvesting Wireless Communications., , , , , and . MobiHoc, page 314-315. ACM, (2018)Reinforcement Learning Enabled Intelligent Energy Attack in Green IoT Networks., , , and . IEEE Trans. Inf. Forensics Secur., (2022)Comparing underwater MAC protocols in real sea experiments., , , , , , and . Computer Communications, (2015)Effective Relay Selection for Underwater Cooperative Acoustic Networks., , , , , and . MASS, page 104-112. IEEE Computer Society, (2013)RISM: An efficient spectrum management system for underwater cognitive acoustic networks., , , , and . SECON, page 414-422. IEEE, (2014)