Cluster Property based Data Transfer for Efficient Energy Consumption in IoT

Lee, Chungsan; Jeon, soo bin; Jung, Inhwa

doi:10.5626/jok.2017.44.9.966

Cited by 1 publication

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“…This approach can extend the longevity of the entire IoT network because the usage of batteries is also distributed in the objects of a cluster. However, the role of things in a cluster structure must be dynamically changed to support a quick response to various events [ 14 ].…”

Section: Related Workmentioning

confidence: 99%

Simulator for Interactive and Effective Organization of Things in Edge Cluster Computing

Kim

Jung

2021

Sensors

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Edge computing is intended to process events that occur at the endpoint of the Internet of Things (IoT) network quickly and intelligently. Edge regions must be organized effectively to facilitate cooperation so that the intention of edge computing can be realized. However, inevitably, many human and material resources are required in the process of arranging things in the edge area to confirm the appropriateness of the thing operation. To address this problem, we proposed a simulator that created a virtual space for edge computing and provided an interactive role and effective organization for edge things. The proposed simulator was aimed at Raspberry Pi as the physical hardware target. To prove the accuracy of the proposed simulator, the similarity between the proposed simulator and the physical target Raspberry Pi was evaluated based on three metrics while executing several applications. In the experiment, several edge-computing service applications were performed in various cluster architecture types formed by the proposed simulator. To support effective resource usage and fast real-time response for edge computing, the proposed simulator identified a suitable number of things in forming the edge cluster.

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Section: Related Workmentioning

confidence: 99%