Abstract: This paper proposes an optimal dynamic resource allocation method in Internet of Things (IoT) Parking Guidance Systems (PSG). In the proposed method, a resource allocation using a forecasting model based on Q-learning is employed. To demonstrate efficiency of this method, it is verified by Matlab 7. Through simulation results, this paper proves that the proposed method can enhance total throughput, decrease penalty fee issued by Service Level Agreement (SLA) and reduce response time with the dynamic number of users.

• Publication Date: 13-Mar-2016
• DOI: 10.15224/978-1-63248-087-3-62
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• Downloads: 0

Abstract: In this paper, MoM(MMS over MQTT) protocol proposed for industrial IoT(Internet of Things) platform. The MMS(Manufacturing Message Specification), that is used for conventional industrial platform, can control only one device by one message. Because of this, when control many devices at same time, message publisher build message for each target devices. So, unnecessary delay is occurred while building messages and sending messages. And industrial devices, which use private IP(Internet Protocol) address, can’t use MMS and it is not commensurate with industrial IoT platform. So, MQTT(MQ Telemetry Transport) is introduced for overcome these weakness. Proposed scheme build MMS packet and using MQTT for communication. For implement test bed, intel edison board is used. Test bed communicate each other and actuators are controlled by value of sensors

• Publication Date: 13-Mar-2016
• DOI: 10.15224/978-1-63248-087-3-63
• Views: 0
• Downloads: 0