Reference | Research opportunity | Method used |
---|---|---|
Acer et al. [12] | Connected Objects Fingerprint | Platform to analyze Wi-Fi trace |
Acer et al. [13] | Crowd Behavior | Data Analysis |
Gómez et al. [14] | User Association | Wi-Fi SDN |
Balbi et al. [15] | Channel Allocation | Metric-based Algorithm |
Coronado et al. [16] | Channel Allocation | Wi-Fi SDN |
Xu et al. [17] | Vehicles Location | Survey |
Chen et al. [18] | Traffic Jam Prediction | Combine data from different wireless sources |
Leung and Kim [21] | Optimal Channel Allocation | – |
Maturi et al. [22] | Heuristic Channel Allocation | Dynamic channel selection |
Lin et al. [23] | Channel Allocation | Interference observed between APs |
Luiz et al. [20] | Channel Allocation | Interference observed between clients and APs |
Shin et al. [24] | Decrease Latency during hand-off | Stores the set of channels each neighbor is operating and the set of |
 |  | neighboring APs on each channel |
Zeljković et al. [25] | Evaluates Handover Algorithms for QoS | SDN + Machine Learning |
Huang et al. [26] | Monitor wireless AP | MBD platforms, data analysis, and |
 |  | distributed acquisition tools |
Wang et al. [28] | Optimize use of the wireless spectrum | Cooperation between access points to |
 |  | perform beamforming |
Ghouti [29], Noulas et al. [30], Kulkarni et al. [31], Stynes et al. [32], Zhang and Dai [33], Bozkurt et al. [34] | Positioning Analysis | Machine Learning |
Gonzalez et al. [35] | 100.000 Traces of cellphones Dataset | – |
Song et al. [36] | People’s Movement Dataset | – |
Toch et al. [37] | Classify user mobility applications | Clusters Similar Profiles and their future trajectory |
Jiang et al. [41] | Characterization and spectrum analysis in next-generation | Â |
 | wireless networks | Survey |