A Model for Enhancing Nested Mobile Nodes Performance

In recent years, IP networks have come to rely heavily on network mobility. In spite of the system's adaptability, it ensures constant connectivity to the internet. NEMO Basic Support Protocol (BSP) was suggested by the Internet Engineering Task Force (IETF) to deal with the problem of mobile systems; however, it has a few drawbacks, including high overhead, high inactivity during handoff, and bundle delay. The topic of wasteful NEMO direction turns out to be an interesting research area, especially for the more commonplace, established portable systems. In a simple setting, a number of portable systems gradually include a large number of movable switches. When the mobile device is out of range, all communications to and from the Mobile Networks Nodes must go via the Mobile Router and Home Agent (MR,HA) tunnel. As a result, the package route will be sped up and the bundle delivery time will increase. Route optimization in a layered mobile network was explored in an Internet Engineering Task Force Request for Comment (IETF RFC 4889) as a means to circumvent such limits. This study proposes a novel paradigm to improve the functionality of layered networks. The approach is built on polling a subset of routers to determine which will be in charge of the routing process, and then directing all communications via those routers rather than using the more complex higher-level mobile networks. The proposed model has less end-to-end latency than NEMO BSP. This model was run with OPNET v14.5, an optimization tool for network simulations. Top-level nested simulations resulted in a 5% reduction in end-to-end latency. Nesting at the intermediate level reduced end-to-end latency by 10%. At the third level of nesting, a 14% reduction in end-to-end latency was realized. All this considering just three levels of nesting, thus, when the nesting depth is raised, the results improve. Using smarter routers, this model may be improved to achieve best-case outcomes, making it one of the best suggested solutions for the routing constraints of layered mobile networks.