The innovation of services offered by cellular networks gained the attention of researchers in the communication field. Thus, mobile industries deal with remarkable technological competition regarding service quality. The quality is determined by how superior, consistent, and quick a service is delivered to the user. Thus, mobility management is a basic factor as it deals with imperative information for managing user’s mobility. However, due to the expansion of connected devices, the users are set up densely which inspires the researcher for devising a novel mode switching model. This paper devises a novel mode switching model using the Naive Bayes classifier. Here, the switching of modes is based on certain quality parameters, like link utilization, bandwidth, delay, energy consumption, and signal strength. Whenever the network switches the communication link from cellular-mode to user-mode, it must maintain the quality parameters. For enhancing the performance of network mobility management, a mobility management model is devised in which user mobility is computed. Thus, the proposed method is essential for supporting improved user mobility during communication The proposed mode switching using Naïve Bayes classifier provides superior performance with a minimal delay of 0.164 s, maximal power of 58.786 bpm, maximal link utilization ratio of 0.727 and maximal throughput of 1,641,723 respectively.

蜂窝网络提供的服务创新引起了通信领域研究人员的关注。因此，移动行业在服务质量方面面临着巨大的技术竞争。质量取决于向用户交付服务的优越性，一致性和快速性。因此，移动性管理是基本因素，因为它处理用于管理用户移动性的命令性信息。然而，由于所连接设备的扩展，用户被密集地设置，这激发了研究者设计新颖的模式切换模型的灵感。本文使用朴素贝叶斯分类器设计了一种新颖的模式切换模型。在此，模式切换基于某些质量参数，例如链路利用率，带宽，延迟，能耗和信号强度。每当网络将通信链路从蜂窝模式切换到用户模式时，它都必须保持质量参数。为了增强网络移动性管理的性能，设计了一种移动性管理模型，其中计算用户移动性。因此，提出的方法对于支持通信过程中改善的用户移动性至关重要。使用朴素贝叶斯分类器的提议模式切换可提供卓越的性能，其最小延迟为0.164 s，最大功率为58.786 bpm，最大链路利用率为0.727，最大吞吐量为1,641,723分别。