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Kevin Bylykbashi
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Fuzzy-based Driver Monitoring System (FDMS): Implementation of two intelligent FDMSs and a testbed for safe driving in VANETs
K Bylykbashi, E Qafzezi, M Ikeda, K Matsuo, L Barolli
Future Generation Computer Systems 105, 665-674, 2020
562020
Effect of security and trustworthiness for a fuzzy cluster management system in VANETs
K Bylykbashi, D Elmazi, K Matsuo, M Ikeda, L Barolli
Cognitive Systems Research 55, 153-163, 2019
412019
A fuzzy-based approach for cluster management in VANETs: performance evaluation for two fuzzy-based systems
K Ozera, K Bylykbashi, Y Liu, L Barolli
Internet of Things 3, 120-133, 2018
372018
Coordination and management of cloud, fog and edge resources in SDN-VANETs using fuzzy logic: a comparison study for two fuzzy-based systems
E Qafzezi, K Bylykbashi, M Ikeda, K Matsuo, L Barolli
Internet of Things 11, 100169, 2020
342020
A WLAN triage testbed based on fuzzy logic and its performance evaluation for different number of clients and throughput parameter
K Ozera, T Inaba, K Bylykbashi, S Sakamoto, M Ikeda, L Barolli
International Journal of Grid and Utility Computing 10 (2), 168-178, 2019
282019
Implementation and performance evaluation of two fuzzy-based systems for selection of IoT devices in opportunistic networks
M Cuka, D Elmazi, K Bylykbashi, E Spaho, M Ikeda, L Barolli
Journal of Ambient Intelligence and Humanized Computing 10 (2), 519-529, 2019
262019
Routing in a many-to-one communication scenario in a realistic VDTN
K Bylykbashi, E Spaho, L Barolli, F Xhafa
Journal of High Speed Networks 24 (2), 107-118, 2018
192018
Impact of node density and TTL in vehicular delay tolerant networks: performance comparison of different routing protocols
K Bylykbashi, E Spaho, L Barolli, F Xhafa
International Journal of Space-Based and Situated Computing 7 (3), 136-144, 2017
172017
Performance evaluation of an integrated fuzzy-based driving-support system for real-time risk management in VANETs
K Bylykbashi, E Qafzezi, P Ampririt, M Ikeda, K Matsuo, L Barolli
Sensors 20 (22), 6537, 2020
162020
A fuzzy approach for clustering in MANETs: performance evaluation for different parameters
K Ozera, S Sakamoto, D Elmazi, K Bylykbashi, M Ikeda, L Barolli
International Journal of Space-Based and Situated Computing 7 (3), 166-176, 2017
162017
A new fuzzy-based resource management system for SDN-VANETs
E Qafzezi, K Bylykbashi, E Spaho, L Barolli
International Journal of Mobile Computing and Multimedia Communications …, 2019
152019
A fuzzy-based system for selection of IoT devices in opportunistic networks considering IoT device storage, waiting time and security parameters
M Cuka, D Elmazi, K Bylykbashi, E Spaho, M Ikeda, L Barolli
International Conference on Emerging Internetworking, Data & Web …, 2018
112018
Evaluation of different DTN routing protocols in an opportunistic network considering many-to-one communication scenario
E Spaho, K Bylykbashi, L Barolli, V Kolici, A Lala
2016 19th International Conference on Network-Based Information Systems …, 2016
102016
Implementation of a fuzzy-based simulation system and a testbed for improving driving conditions in VANETs
K Bylykbashi, D Elmazi, K Matsuo, M Ikeda, L Barolli
Conference on Complex, Intelligent, and Software Intensive Systems, 3-12, 2019
92019
Performance evaluation of routing protocols in DTNs considering different mobility models
E Spaho, K Dhoska, K Bylykbashi, L Barolli, V Kolici, M Takizawa
Workshops of the International Conference on Advanced Information Networking …, 2019
92019
Effect of node centrality for IoT device selection in opportunistic networks: A comparison study
M Cuka, D Elmazi, K Bylykbashi, E Spaho, M Ikeda, L Barolli
Concurrency and Computation: Practice and Experience 30 (21), e4790, 2018
92018
An intelligent approach for resource management in SDN-VANETs using fuzzy logic
E Qafzezi, K Bylykbashi, E Spaho, L Barolli
International Conference on Broadband and Wireless Computing, Communication …, 2019
82019
A fuzzy-based system for driving risk measurement (FSDRM) in VANETs: a comparison study of simulation and experimental results
K Bylykbashi, E Qafzezi, M Ikeda, K Matsuo, L Barolli
International Conference on P2P, Parallel, Grid, Cloud and Internet …, 2019
72019
A fuzzy-based system for cloud-fog-edge selection in VANETs
K Bylykbashi, Y Liu, K Matsuo, M Ikeda, L Barolli, M Takizawa
International Conference on Emerging Internetworking, Data & Web …, 2019
72019
Implementation of an iot-based e-learning testbed: Performance evaluation using mean-shift clustering approach considering four types of brainwaves
K Matsuo, M Yamada, K Bylykbashi, M Cuka, Y Liu, L Barolli
2018 32nd International Conference on Advanced Information Networking and …, 2018
72018
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