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Multi-objective surrogate modeling for real-time energy-efficient station grouping in IEEE 802.11ah.

, , , , , and . Pervasive Mob. Comput., (2019)

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Location-Based Discovery and Network Handover Management for Heterogeneous IEEE 802.11ah IoT Applications., , and . IEEE Trans. Netw. Serv. Manag., 19 (3): 3154-3162 (2022)Supporting Heterogeneous IoT Traffic using the IEEE 802.11ah Restricted Access Window., , , , , and . SenSys, page 32:1-32:2. ACM, (2017)Evaluation of the Co-existence of RAW and TWT Stations in IEEE 802.11ah using ns-3., , and . WNGW@WNS3, page 9-12. ACM, (2019)Accurate Energy Modeling and Characterization of IEEE 802.11ah RAW and TWT., , , and . Sensors, 19 (11): 2614 (2019)Wi-Fi HaLow for the Internet of Things: An up-to-date survey on IEEE 802.11ah research., , , , and . J. Netw. Comput. Appl., (2021)On the Feasibility of Location-based Discovery and Vertical Handover in IEEE 802.11ah., , and . WCNC, page 1-6. IEEE, (2020)Multi-objective surrogate modeling for real-time energy-efficient station grouping in IEEE 802.11ah., , , , , and . Pervasive Mob. Comput., (2019)Location-Based Vertical Handovers in Wi-Fi Networks With IEEE 802.11ah., , , , and . IEEE Access, (2021)Experimental Validation of IEEE 802.11ah Propagation Models in Heterogeneous Smarty City Environments., , , and . GLOBECOM, page 1-6. IEEE, (2020)Accurate Sensor Traffic Estimation for Station Grouping in Highly Dense IEEE 802.11ah Networks., , , and . FAILSAFE@SenSys, page 1-9. ACM, (2017)