Resource Allocation in Wireless-Powered Mobile Edge Computing Systems for Internet of Things Applications
Wireless Power Transfer
Mobile Edge Computing
DOI:
10.3390/electronics8020206
Publication Date:
2019-02-13T07:49:44Z
AUTHORS (3)
ABSTRACT
Wireless devices in Internet of Things (IoT) applications, such as wireless sensors and Radio Frequency Identifications (RFIDs), are faced with challenges heavy computation tasks limited energy, which can be solved by the importation mobile edge computing (MEC) power transfer (WPT) techniques. As MEC effectively enhance capability, ensure a sustainable supply it has drawn significant research interest IoT applications. In this paper, we will study resource allocation problem wireless-powered system for applications one access point (AP) many other devices, propose Stackelberg dynamic game model to obtain optimal allocated nodes environment. The AP is source that charge based on also integrated server carry out offload from devices. use harvested energy execute AP. Based proposed model, control their transmit transfer, offloading AP, respectively. numerical simulation results show correctness effectiveness model.
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