H
Hsin-Hung Cho
Researcher at National Ilan University
Publications - 47
Citations - 575
Hsin-Hung Cho is an academic researcher from National Ilan University. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 10, co-authored 44 publications receiving 427 citations. Previous affiliations of Hsin-Hung Cho include National Central University & Hsuan Chuang University.
Papers
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Integration of SDR and SDN for 5G
TL;DR: A cross-layer architecture combining SDR and SDN characteristics is proposed that can effectively use the frequency spectrum and considerably enhance network performance and suggestions are proposed for follow-up studies on the proposed architecture.
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Applying Big Data for Intelligent Agriculture-Based Crop Selection Analysis
TL;DR: Results confirm that the proposed scheme is indeed feasible and that the system determines whether a selected crop has been placed in the appropriate cluster and sets a critical value in the cluster based on future environments and provides advice on whether a crop is suitable for the farm.
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Survey on underwater delay/disruption tolerant wireless sensor network routing
TL;DR: The authors survey state-of-the-art DTN routing protocols, and use the definition of DTN to classify these proposals into scheduled contact, opportunistic contact and predicted contact.
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Metaheuristics for the deployment of 5G
TL;DR: A brief review of the deployment problem of wireless communication and a hyperdense deployment problem (HDDP) definition for the requirements of 5G are reviewed and some open and possible research issues are discussed to suggest future research trends on this problem.
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A SDN-SFC-based service-oriented load balancing for the IoT applications
TL;DR: A service-oriented SDN-SFC load balance mechanism that considered and classify the type and priority of service required by each terminal device, and adopted the heuristic algorithm to plan the transmission paths among SFCs to reduce the load of each SF and improve the overall network performance is proposed.