Mobile Ad hoc Network (MANET) is a popular mlobile network that facilitates more emergency services. However, achieving a high quality of service (QoS) and less energy consumption in MANETs remains a challenge owing to their ad hoc nature. To address these shortcomings, this paper designed a stable zone-based 5G clustered MANET environment.. The integration of the MANET with 5G communication aims to yield a high data rate while reducing the latency and cost. This study comprises four major processes, namely, the stable zone-based clustering, Grey-Dematel (GD) gateway selection, adaptive buffer management, and interest-region-based routing. Primarily, mobile nodes are gathered to form a stable cluster, which is vital in frequent topology-changing environments such as MANETs by strawberry optimization algorithm. A gateway is selected to provide 5G multimedia access to MANET users, and the GD algorithm is used to select an optimum gateway (5G user) from among the nearby 5G users of the current CH. The adaptive buffer management (ABM) method is used to reduce congestion in the CH node. ABM manages the buffer through adaptive time division multiple access scheduling, where video files are prioritized over audio/text files. Interest-region-based routing is performed among the users of MANET to reduce the delay and loss. Furthermore, the discrete interval type 2 improved fuzzy function algorithm is used to discover an optimum path in the interest region, which is formed by the angle between the source and destination. The proposed method is implemented using Network Simulator 3.26 (NS3.26). The results indicate that the proposed method improves the packet delivery ratio and throughput metrics by 30% and reduces the end-to-end delay, jitter, and packet loss ratio by 35% when compared to existing methods such as AERP, MCQR, and M-AODV.

移动自组织网络 (MANET) 是一种流行的移动网络，可提供更多紧急服务。然而，由于 MANET 的特殊性质，在 MANET 中实现高质量的服务 (QoS) 和更少的能源消耗仍然是一个挑战。为了解决这些缺点，本文设计了一个稳定的基于区域的 5G 集群 MANET 环境。.MANET 与 5G 通信的集成旨在产生高数据速率，同时降低延迟和成本。本研究包括四个主要过程，即基于稳定区域的聚类、Grey-Dematel (GD) 网关选择、自适应缓冲区管理和基于兴趣区域的路由。首先，移动节点聚集形成一个稳定的集群，这对于通过草莓优化算法的 MANET 等频繁拓扑变化的环境至关重要。选择网关为MANET用户提供5G多媒体接入，使用GD算法从当前CH的附近5G用户中选择最优网关（5G用户）。自适应缓冲区管理（ABM）方法用于减少 CH 节点中的拥塞。ABM 通过自适应时分多址调度管理缓冲区，其中视频文件优先于音频/文本文件。MANET 的用户之间进行基于兴趣区域的路由，以减少延迟和损失。进而，利用离散区间2型改进模糊函数算法，在由源和目的夹角形成的感兴趣区域内发现最优路径。所提出的方法是使用网络模拟器 3.26 (NS3.26) 实现的。结果表明，与AERP、MCQR和M等现有方法相比，所提出的方法将包交付率和吞吐量指标提高了30%，并将端到端延迟、抖动和丢包率降低了35%。 -AODV。离散区间类型2改进模糊函数算法用于在兴趣区域中发现一条最优路径，该路径由源和目的之间的夹角形成。所提出的方法是使用网络模拟器 3.26 (NS3.26) 实现的。结果表明，与AERP、MCQR和M等现有方法相比，所提出的方法将包交付率和吞吐量指标提高了30%，并将端到端延迟、抖动和丢包率降低了35%。 -AODV。离散区间类型2改进模糊函数算法用于在兴趣区域中发现一条最优路径，该路径由源和目的之间的夹角形成。所提出的方法是使用网络模拟器 3.26 (NS3.26) 实现的。结果表明，与AERP、MCQR和M等现有方法相比，所提出的方法将包交付率和吞吐量指标提高了30%，并将端到端延迟、抖动和丢包率降低了35%。 -AODV。