Cite
RLProph: a dynamic programming based reinforcement learning approach for optimal routing in opportunistic IoT networks.
MLA
Sharma, Deepak Kumar, et al. “RLProph: A Dynamic Programming Based Reinforcement Learning Approach for Optimal Routing in Opportunistic IoT Networks.” Wireless Networks (10220038), vol. 26, no. 6, Aug. 2020, pp. 4319–38. EBSCOhost, https://doi.org/10.1007/s11276-020-02331-1.
APA
Sharma, D. K., Rodrigues, J. J. P. C., Vashishth, V., Khanna, A., & Chhabra, A. (2020). RLProph: a dynamic programming based reinforcement learning approach for optimal routing in opportunistic IoT networks. Wireless Networks (10220038), 26(6), 4319–4338. https://doi.org/10.1007/s11276-020-02331-1
Chicago
Sharma, Deepak Kumar, Joel J. P. C. Rodrigues, Vidushi Vashishth, Anirudh Khanna, and Anshuman Chhabra. 2020. “RLProph: A Dynamic Programming Based Reinforcement Learning Approach for Optimal Routing in Opportunistic IoT Networks.” Wireless Networks (10220038) 26 (6): 4319–38. doi:10.1007/s11276-020-02331-1.