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International Journal of Computer Networks and Applications

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2021
2023

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Kponyo, Jerry John

A Critical Survey on Overhead Control Traffic Reduction Strategies in Software-Defined Wireless Sensor Networking

Abstract Views :296 | PDF Views:0

Authors

Simon Atuah Asakipaam ¹, Jerry John Kponyo ¹, Justice Owusu Agyemang ¹, Frederick Egyin Appiah-Twum ¹

Affiliations
1 Department of Telecommunication Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, GH

Source

International Journal of Computer Networks and Applications, Vol 8, No 1 (2021), Pagination: 1-10

Abstract

The rising interest in the Internet of Things has contributed to the rapid deployment of wireless sensor networks (WSNs). However, as a result of the design of the sensor nodes and networks, WSNs exhibit dynamic challenges in mobile and large-scale applications. The nodes are equipped with limited resources and the networks have static architectures. These problems hinder the effective implementation of WSNs. Software-Defined Networking (SDN) is intended to overcome these problems by removing control logic from the data plane and incorporating programmability to allow dynamic management and control of the nodes. Unfortunately, the gains from incorporating SDN into WSNs are diminished by high overhead control traffic, created to discover and maintain a global network topology view, leading to impaired network performance. This paper provides a systematic overview of the software-defined wireless network sensor literature to identify potential gaps and to provide recommendations for future studies.

Keywords

Software-Defined Wireless Sensor Networks, Topology Discovery Protocol, Minimal Overhead Control Traffic, Energy Consumption, Software-Defined Networking.

Full Text

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Resource Provisioning and Utilization in 5G Network Slicing: A Survey of Recent Advances, Challenges, and Open Issues

Abstract Views :115 | PDF Views:2

Authors

Simon Atuah Asakipaam ¹, Jerry John Kponyo ¹, Kwame Oteng Gyasi ¹

Affiliations
1 Department of Telecommunication Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, GH

Source

International Journal of Computer Networks and Applications, Vol 10, No 2 (2023), Pagination: 201-216

Abstract

The increasing demands for higher bandwidth and lower latency in modern telecommunications networks have led to the exploration of network slicing as a means to meet these requirements more efficiently in next-generation 5G networks. Despite substantial academic interest in resource allocation and management in network slicing, existing research is dispersed and fragmented. This study presents a categorization and assessment of the latest research on resource allocation and optimization techniques in 5G network slicing. It also shows how advanced machine learning techniques can support resource management in sliced wireless networks. The present paper offers a complete overview and analysis of current solutions for resource allocation and management in 5G network slicing, outlines open research challenges, and suggests future research directions for researchers and engineers in this field.

Keywords

Network Slicing, Resource Allocation, 5G Network, Management, Optimization, SDN, NFV.

Full Text

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