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Future real-time applications like smart cities will use complex Machine Learning (ML) models for a variety of tasks.
L. I. Sennott, “Average cost optimal stationary policies in infinite state markov decision processes with unbounded costs,” Operations Research , vol. 37, no. 4, pp. 626–633, 1989
1989
Earlier work this paper cites.
M. L. Puterman, “Markov decision processes: Discrete stochastic dynamic programming,” 1994
1994
Earlier work this paper cites.
S. Kaul, R. Yates, and M. Gruteser, “Real-time status: How often should one update?” in 2012 Proceedings IEEE INFOCOM . IEEE, 2012, pp. 2731–2735
2012
Earlier work this paper cites.
R. D. Yates, “Lazy is timely: Status updates by an energy harvesting source,” in 2015 IEEE International Symposium on Information Theory (ISIT) , 2015, pp. 3008–3012
2015
Earlier work this paper cites.
B. T. Bacinoglu, E. T. Ceran, and E. Uysal-Biyikoglu, “Age of information under energy replenishment constraints,” in 2015 Information Theory and Applications Workshop (ITA) , 2015, pp. 25–31
2015
Earlier work this paper cites.
Y. Mao, J. Zhang, and K. B. Letaief, “Dynamic computation offloading for mobile-edge computing with energy harvesting devices,” IEEE Journal on Selected Areas in Communications , vol. 34, no. 12, pp. 3590–3605, 2016
2016
Earlier work this paper cites.
J. Xu and S. Ren, “Online learning for offloading and autoscaling in renewable-powered mobile edge computing,” in 2016 IEEE Global Communications Conference (GLOBECOM) . IEEE, 2016, pp. 1–6
2016
Earlier work this paper cites.
X. He, J. Liu, R. Jin, and H. Dai, “Privacy-aware offloading in mobile-edge computing,” in GLOBECOM 2017-2017 IEEE Global Communications Conference . IEEE, 2017, pp. 1–6
2017
Earlier work this paper cites.
Y.-P. Hsu, E. Modiano, and L. Duan, “Age of information: Design and analysis of optimal scheduling algorithms,” in 2017 IEEE International Symposium on Information Theory (ISIT) . IEEE, 2017, pp. 561–565
2017
Earlier work this paper cites.
M. Mohammadi, A. Al-Fuqaha, M. Guizani, and J.-S. Oh, “Semisupervised deep reinforcement learning in support of iot and smart city services,” IEEE Internet of Things Journal , vol. 5, no. 2, pp. 624–635, 2018
2018
Cited alongside, same era.
A. I. Maqueda, A. Loquercio, G. Gallego, N. García, and D. Scaramuzza, “Event-based vision meets deep learning on steering prediction for self-driving cars,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2018, pp. 5419–5427
2018
Cited alongside, same era.
R. Miotto, F. Wang, S. Wang, X. Jiang, and J. T. Dudley, “Deep learning for healthcare: review, opportunities and challenges,” Briefings in bioinformatics , vol. 19, no. 6, pp. 1236–1246, 2018
2018
Cited alongside, same era.
I. Kadota, A. Sinha, and E. Modiano, “Optimizing age of information in wireless networks with throughput constraints,” in IEEE INFOCOM 2018-IEEE Conference on Computer Communications . IEEE, 2018, pp. 1844–1852
2018
E. T. Ceran, D. Gündüz, and A. György, “Average age of information with hybrid arq under a resource constraint,” IEEE Transactions on Wireless Communications , vol. 18, no. 3, pp. 1900–1913, 2019
2019
Later among the works it cites.
G. Stamatakis, N. Pappas, and A. Traganitis, “Control of status updates for energy harvesting devices that monitor processes with alarms,” in 2019 IEEE Globecom Workshops (GC Wkshps) . IEEE, 2019, pp. 1–6
2019
Later among the works it cites.
Y.-P. Hsu, E. Modiano, and L. Duan, “Scheduling algorithms for minimizing age of information in wireless broadcast networks with random arrivals,” IEEE Transactions on Mobile Computing , vol. 19, no. 12, pp. 2903–2915, 2020
2020
Later among the works it cites.
H. Tang, J. Wang, L. Song, and J. Song, “Minimizing age of information with power constraints: Multi-user opportunistic scheduling in multi-state time-varying channels,” IEEE Journal on Selected Areas in Communications , vol. 38, no. 5, pp. 854–868, 2020
2020
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Cited alongside, same era.
Y. Sun, E. Uysal-Biyikoglu, and S. Kompella, “Age-optimal updates of multiple information flows,” in IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) . IEEE, 2018, pp. 136–141
2018
Cited alongside, same era.
Y.-P. Hsu, “Age of information: Whittle index for scheduling stochastic arrivals,” in 2018 IEEE International Symposium on Information Theory (ISIT) . IEEE, 2018, pp. 2634–2638
2018
Cited alongside, same era.
M. Min, X. Wan, L. Xiao, Y. Chen, M. Xia, D. Wu, and H. Dai, “Learning-based privacy-aware offloading for healthcare iot with energy harvesting,” IEEE Internet of Things Journal , vol. 6, no. 3, pp. 4307–4316, 2018
2018
Cited alongside, same era.
X. Wu, J. Yang, and J. Wu, “Optimal status update for age of information minimization with an energy harvesting source,” IEEE Transactions on Green Communications and Networking , vol. 2, no. 1, pp. 193–204, 2018
2018
Cited alongside, same era.
Later among the works it cites.
M. A. Abd-Elmagid, H. S. Dhillon, and N. Pappas, “Aoi-optimal joint sampling and updating for wireless powered communication systems,” IEEE Transactions on Vehicular Technology , vol. 69, no. 11, pp. 14 110–14 115, 2020
2020
Later among the works it cites.
V. Nasir and F. Sassani, “A review on deep learning in machining and tool monitoring: Methods, opportunities, and challenges,” The International Journal of Advanced Manufacturing Technology , vol. 115, no. 9, pp. 2683–2709, 2021
2021
Later among the works it cites.
A. M. Bedewy, Y. Sun, S. Kompella, and N. B. Shroff, “Optimal sampling and scheduling for timely status updates in multi-source networks,” IEEE Transactions on Information Theory , vol. 67, no. 6, pp. 4019–4034, 2021
2021
Later among the works it cites.
S. Feng and J. Yang, “Age of information minimization for an energy harvesting source with updating erasures: Without and with feedback,” IEEE Transactions on Communications , vol. 69, no. 8, pp. 5091–5105, 2021
2021
Later among the works it cites.