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EURASIP Journal on Wireless Communications and Networking
Figure 5 | EURASIP Journal on Wireless Communications and Networking

Figure 5

From: A Reinforcement Learning Based Framework for Prediction of Near Likely Nodes in Data-Centric Mobile Wireless Networks

Figure 5

KL-divergence: fixed future window size; (a) and (b) the future window size is set to 0. 2 and 0.4 of the total study time, respectively, when the average number of neighbors is 5; (c) the future window size is set to 0.4 of the total study time when the average number of neighbors is 15.Walking Scenario: Future window 0.2Walking Scenario: Future window 0.4Vehicular Scenario: Future window 0.4

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