Abstract
Enabling consumers to travel within a network to various geographic areas while yet being able to retain their access is most critical, while the quality of operation can makes any wireless network universal. Mobile wireless networks are demanding to have adequate efficiency in mobility management (MM). The number of Smartphone subscribers in 2024 is expected to be nearly 9 billion, and in 2024 the volume of traffic will rise fivefold relative to 2018. In addition, this explosive growth pattern is projected to persist well into the future. The future networks are expected to be extremely fragmented and heterogeneous in order to accommodate this rapid rise of mobile traffic and consumers along with an increasing demand for better quality of service (QoS). This serious challenge can eventually makes current MM solutions inefficient, as they cannot provide the requisite durability, flexibility and scalability. Therefore a new paradigm for MM is needed to support the next generation wireless network. Therefore, this article addresses the management of mobility using neural network. The SON-DNN-DMMPMIPv6 protocol was built over a network of 50 nodes to boost the efficiency of mobility protocols and evaluate the handover performance.
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