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An energy-efficient self-deployment with the centroid-directed virtual force in mobile sensor networks.

, , , и . Simulation, 88 (10): 1152-1165 (2012)

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Sang-Youn Han

Han-Hee Kim

Hyung Youn

Youngil Youn

Hyunsook Youn

 

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Failure Restoration for Location Server with User Movement Learning and Prediction., , , и . ISHPC, том 1615 из Lecture Notes in Computer Science, стр. 399-406. Springer, (1999)Finding Meaningful Chronological Pattern of Key Words in Computer Science Bibliography., , , и . CSA/CUTE, том 421 из Lecture Notes in Electrical Engineering, стр. 849-854. Springer, (2016)Deep Q-Network Based Rotary Inverted Pendulum System and Its Monitoring on the EdgeX Platform., , , , , и . ICAIIC, стр. 34-39. IEEE, (2019)Design and evaluation of an address configuration and confirmation scheme for IPv6 mobility support., , и . WCNC, стр. 1270-1275. IEEE, (2004)Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices., , , и . Sensors, 20 (5): 1359 (2020)Maximizing Network Lifetime for Connected and Non-overlapped Target Coverage in Wireless Sensor Networks., и . Ad Hoc Sens. Wirel. Networks, 15 (1): 65-82 (2012)Sortation Control Using Multi-Agent Deep Reinforcement Learning in N-Grid Sortation System., , , , , и . Sensors, 20 (12): 3401 (2020)A comparative performance analysis on Hierarchical Mobile IPv6 and Proxy Mobile IPv6., , , и . Telecommun. Syst., 41 (4): 279-292 (2009)An Energy-efficient Data Collection Scheme by Mobile Element based on Markov Decision Process for Wireless Sensor Networks., , , и . Wirel. Pers. Commun., 123 (3): 2283-2299 (2022)A Dual-Connectivity Mobility Link Service for Producer Mobility in the Named Data Networking., , , и . Sensors, 20 (17): 4859 (2020)