2018
DOI: 10.1109/jiot.2018.2797174
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A Software-Defined Surveillance System With Energy Harvesting: Design and Performance Optimization

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Cited by 15 publications
(10 citation statements)
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“…To obtain the optimal offloading strategy, we formulate a CMDP model with five elements. (Since the CMDP model that is a mathematical framework to model decision-making when outcomes need to be constrained, and they are partially random and under the control of the decision maker [27], it is suitable to construct the optimal offloading decision table. ): (1) decision epoch; (2) state; (3) action; (4) transition probability; and (5) cost and constraint functions.…”
Section: Constraint Markov Decision Process (Cmdp)mentioning
confidence: 99%
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“…To obtain the optimal offloading strategy, we formulate a CMDP model with five elements. (Since the CMDP model that is a mathematical framework to model decision-making when outcomes need to be constrained, and they are partially random and under the control of the decision maker [27], it is suitable to construct the optimal offloading decision table. ): (1) decision epoch; (2) state; (3) action; (4) transition probability; and (5) cost and constraint functions.…”
Section: Constraint Markov Decision Process (Cmdp)mentioning
confidence: 99%
“…Therefore, for the chosen action A, the transition probability from the current state of IoT device i, (10) We assume that the inter-task occurrence time of IoT device i follows an exponential distribution with mean 1/λ i . Then, the probability that the task occurs in IoT device i during a decision epoch can be calculated as λ i τ [27,31]. Therefore,…”
Section: Transition Probabilitymentioning
confidence: 99%
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