The Concept of 2-Layer Routing for Wireless 5G Networks and Beyond

Hrabcak, David; Dobos, Lubomir; Papaj, Jan

doi:10.1109/radioelek.2019.8733580

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…At this juncture, the advancement of technology (5G) is needed, and Device-to-device (D2D) communications came into existence. For cellular networks, 5G technology is standard in which cellular companies worldwide are starting to deploy the 5G telecommunications in 2019 [4]. But most of the current cell phones utilize the 4G networks for their data and video transmission.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Deep Learning-Based Routing Protocol for an Efficient Data Transmission in 5G WSN Communication

Arya

Bagwari²,

Chauhan

2022

IEEE Access

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For the past few years, huge interest and dramatic development have been shown for the Internet of Things (IoT) based constrained Wireless sensor network (WSN) to achieve efficient resource utilization and better service delivery. IoT requires a better communication network for data transmission between heterogeneous devices and an optimally deployed energy-efficient WSN. The clustering technique applied for WSN node deployment needs to be efficient; therefore, the entire architecture can obtain a better network lifetime. The entire network is partitioned into various clusters. Moreover, the cluster head (CH) selection process also needs proper attention to achieve efficient data communication towards the sink node via selected CH and increase the node reachability within the Cluster. An energy-efficient deep belief network (DBN) based routing protocol is developed in this proposed framework, which achieves better data transmission through the selected path. Due to this, the packet delivery ratio (PDR) gets improved. In this framework, the nodes in the whole network are initially grouped as clusters using a reinforcement learning (RL) algorithm, which assigns a reward for the nodes belonging to the particular Cluster. Then, the CH required for efficient data communication is selected using a Mantaray Foraging Optimization (MRFO) algorithm. The data is transmitted to the sink node via the selected CH using an efficient deep learning approach. Finally, the performance of the proposed deep network-based routing protocol is evaluated using different evaluation metrics: network lifetime, energy consumption, number of alive nodes, and packet delivery rate. Finally, the evaluated results are compared with a few existing algorithms. The proposed DBN routing protocol has achieved a better network lifetime among all these algorithms.

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Section: Introductionmentioning

confidence: 99%

Performance Analysis of Deep Learning-Based Routing Protocol for an Efficient Data Transmission in 5G WSN Communication

Arya

Bagwari²,

Chauhan

2022

IEEE Access

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“…Moreover, the recent development in the cellular network technology enhances the feasibility of integrating MANET with the Internet. Fifth-generation 5G technology, for example, comes with its merit of increased bandwidth and reduced delay, which ease the integration of ad hoc networks and IP networks [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Integrating IP Mobility Management Protocols and MANET: A Survey

Mojamed

2020

Future Internet

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The Mobile ad hoc Network (MANET) is a collection of mobile devices that forms a self-created, self-administered, and self-organized network. It is an infrastructureless network that does not require an existing infrastructure to operate. MANET suits scenarios where a temporary network is needed, such as emergency rescue, the military field, and disaster areas. MANET is an isolated network, and communication is restricted to the participating nodes’ transmission coverage. In order to increase its connectivity and its application scope, however, MANET requires integration with other networks, forming a hybrid MANET. The integration of MANET and IP networks raises many challenges and issues. Mobility management is one of the main challenges. Traditional mobility management protocols provide seamless mobility in a single hop infrastructure network. Consequently, mobile nodes can maintain their global connectivity without interrupting the ongoing sessions. Mobility management becomes more challenging in a network that relies on multi-hop communication, such as MANET. This paper presents a survey of the use of mobility management systems when integrating MANET with the internet, with the objective of serving as a handy reference in this field of research. It presents, analyzes, and discusses existing mobility management solutions for integrated MANET networks. It also investigates their shortcomings and provides a comparative study of the surveyed proposals.

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Hexagonal Clustered Trust Based Distributed Group Key Agreement Scheme in Mobile Ad Hoc Networks

Janani¹,

Manikandan²

2020

Wireless Pers Commun

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The Concept of 2-Layer Routing for Wireless 5G Networks and Beyond

Cited by 5 publications

References 10 publications

Performance Analysis of Deep Learning-Based Routing Protocol for an Efficient Data Transmission in 5G WSN Communication

Performance Analysis of Deep Learning-Based Routing Protocol for an Efficient Data Transmission in 5G WSN Communication

Integrating IP Mobility Management Protocols and MANET: A Survey

Hexagonal Clustered Trust Based Distributed Group Key Agreement Scheme in Mobile Ad Hoc Networks

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