( en | de | ru )

 

Disambiguation of "Ishmanov, Farruh"

Author of the publication

copydeleteadd this publication to your clipboard
An Efficient Fog as-a-Power-Economy-Sharing Service.

, , , , , , and . IEEE Access, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Ishmanov, Farruh
add a person with the name Ishmanov, Farruh
 

Other publications of authors with the same name

An optimized hybrid algorithm in term of energy and performance for mapping real time workloads on 2d based on-chip networks., , , , , and . Appl. Intell., 48 (12): 4792-4804 (2018)An Efficient Fog as-a-Power-Economy-Sharing Service., , , , , , and . IEEE Access, (2019)Energy consumption balancing (ECB) issues and mechanisms in wireless sensor networks (WSNs): a comprehensive overview., , and . Eur. Trans. Telecommun., 22 (4): 151-167 (2011)A survey on routing protocols supported by the Contiki Internet of things operating system., , , , and . Future Gener. Comput. Syst., (2018)A Novel Trust Establishment Method for Wireless Sensor Networks., and . KSII Trans. Internet Inf. Syst., 9 (4): 1529-1547 (2015)A Secure Trust Establishment Scheme for Wireless Sensor Networks., , and . Sensors, 14 (1): 1877-1897 (2014)(ReLBT): A Reinforcement learning-enabled listen before talk mechanism for LTE-LAA and Wi-Fi coexistence in IoT., , , , and . Comput. Commun., (2020)Trust Mechanisms to Secure Routing in Wireless Sensor Networks: Current State of the Research and Open Research Issues., and . J. Sensors, (2017)Exploiting Layered Multi-Path Routing Protocols to Avoid Void Hole Regions for Reliable Data Delivery and Efficient Energy Management for IoT-Enabled Underwater WSNs., , , , , , , and . Sensors, 19 (3): 510 (2019)Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data., , , , , , , and . Sensors, 20 (8): 2326 (2020)