Titlebook: Edge Computing and IoT: Systems, Management and Security; First EAI Internatio Hongbo Jiang,Hongyi Wu,Fanzi Zeng Conference proceedings 202

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Introduction: Voice, Agency and the Child, systems, where there are no unknown tags entering the system. For highly dynamic RFID systems where tags move into and out from the system frequently, it is challenging to identify missing tags because of the interference from unknown tags. In this paper, we propose a new time efficient protocol ca

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https://doi.org/10.1007/978-1-4684-6413-9constantly update keys for numerous IoT devices, especially when these devices are restricted by size and lack of the key input interface. This paper proposes a lightweight key management scheme which embeds the key distribution and update process into the communication process. The keys are constan

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Markus P. J. Bohlmann,Sean Morelandonsisted of a single MZM modulator and a PIN photodiode that performs the optical direct detection. By selecting the convenient values for beam divergence angle and lunch power, the simulation results prove that the generated 42 Gbps OFDM data could be sent up to 1.90 km, using the Carbonneau rain a

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Energy Efficient Service Composition with Delay Guarantee in a Cloud-Edge Systemerent edge nodes is a promising way to achieve a quick response to these requests. Since several mobile applications consume large amount of energy during waiting for the responses, it is critical to achieve less service delay for energy saving as well as improve QoE (Quality of Experience). However

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Resource Allocation Method of Edge-Side Server Based on Two Types of Virtual Machines in Cloud and E at this problem, an edge-side server resource allocation algorithm based on cloud collaborative architecture has been designed and implemented. By defining the three-dimensional information of each IO-intensive virtual machine in the compute node, the priority of the IO-intensive virtual machine is