A Multipath Cluster-Based Routing Protocol For Mobile Ad Hoc Networks

The rise of 5G technology has brought with it a surge in diverse services with demanding and varying requirements. Network fragmentation has emerged as a critical technique to address this challenge, enabling the creation of virtual network segments on a shared infrastructure, allowing for efficient resource utilization and improved performance. This paper investigates the potential of network fragmentation, combined with optimized resource allocation, to enhance the performance of 5G core networks. A novel framework that integrates these two techniques is proposed. The former takes into account factors, such as network traffic patterns, service requirements, and resource availability. The framework aims to optimize network performance metrics, namely throughput, latency, and resource utilization. The experimental results demonstrate the effectiveness of the proposed framework, showcasing a significant improvement in overall network performance, paving thus the way for efficient and robust 5G service delivery.

Section: Related Workmentioning

confidence: 99%

Enhancing 5G Core Network Performance through Optimal Network Fragmentation and Resource Allocation

Maganti,

Rao

2024

“…The Cluster Based Routing Protocol (CBRP), a single path MANET protocol, was improved in [29] to employ multiple paths. To lessen network traffic congestion and delay, the traffic will be split up across several paths.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Optimization Solution for UAV Network Routing

Kout

Bouaita

Beghriche

et al. 2023

An Unmanned Aerial Vehicle (UAV) network specifies a novel type of Mobile Ad hoc Network (MANET) in which drones serve as nodes and facilitate the retransmission of messages to their final destinations. Aside from its military application, it has recently begun to seep into the civilian sector. Similar to MANET and vehicular ad hoc networks, Flying Ad hoc Networks (FANET) are a subset of ad hoc networks. An FANET is different because it is founded on UAVs. Due to the characteristics of this sort of network, which is defined by a highly changing topology in a 3D environment, we must employ an adjusted configuration method to ensure good routing performance. Therefore, to deal with this problem, a technique that responds to any change in topology by always finding the best route is required. In this work, we propose a new protocol based on the hybrid optimization of the 2-opt heuristic and Honey Badger Algorithm (HBA), called HB-AODV. In order to locate its prey, a badger must move slowly and continuously while using scent markers and mouse-digging skills to catch it. In other words, the most efficient routes in terms of the number of hops are identified. Several simulations were conducted via the 3D version of Network Simulator (NS-2) on different deployment strategies. In comparison to AODV, DSDV, and AntHocNet, the obtained results demonstrated the proposed scheme’s good performance in terms of quality of service metrics.

“…Among the MANET protocols that handle the above problems [11][12], ZRP [13] has an advanced position. ZRP is a hybrid wireless routing protocol that offers the advantage of adapting to various network conditions.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-ZRP: An Adaptive MANET Radius Zone Routing Protocol

Harrag

2023

A Mobile Ad-hoc Network (MANET) is a group of active mobile nodes wirelessly connected in a self-configuring and self-healing network without a preexisting centralized infrastructure. Several studies have been conducted to improve the stability and lifetime of routes for communicating between source and destination nodes, integrating new techniques with existing protocols. This paper presents a fuzzy-based approach to improve the performance of the standard Zone Routing Protocol (ZRP) by selecting the optimal value of the zone radius. Each node has a fuzzy inference system that is periodically fed with parameters, such as the remaining energy and mobility of the node, to calculate the optimal value of the zone routing radius, which makes the node autonomous and intelligent. The simulation results obtained using the NS-2 simulator showed that the proposed fuzzy radius approach outperformed the standard ZRP, OVBAZRP, and PSOZRP routing protocols in all measures considered: PDR, NRL, and E2ED.