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Ultra-low latency communication for mobile machines emerges as a criticaltechnology in Internet of Things (IoT). Proactive network association has beensuggested to support ultra-low latency communication with the assistance ofmobile edge computing. To resolve system dynamics and uncertainty, in thispaper, an online proactive network association is proposed to minimize averagetask delay while considering time-average energy consumption constraints. Underdistributed computing and networking environments, we formulate anevent-triggered proactive network association model by semi-Markov task statesand independent identically distributed (i.i.d.) random events. Then wefacilitate the mobility-aware anticipatory network association to predictivelyconsider handover effects caused by the mobility. Based on the Markov decisionprocesses (MDP) and Lyapunov optimization, the two-stage online proactivenetwork association (TOPNA) decision algorithm is proposed without theknowledge nor distribution of random events. Simulation results exhibit theeffectiveness of the proposed algorithm.

Event-triggered Online Proactive Network Association to Mobile Edge Computing for IoT