Optimizing High-Speed Mobile Networks with Smart Collaborative Theory

Although the vision of cognitive and intelligent Internet of Things is fascinating, it is still challenging to maximize its advantages in high-speed mobile networks. In this article, critical obstacles, including inflexible interactions, unreliable connections, and inefficient computations, are focused to establish a better communication solution. First, a concept named mobile-aware resource sharing (MARS) is proposed with straightforward motivation based on smart collaborative theory. Second, inspired by moving velocity and processing capacity, the design details and corresponding optimizations are analyzed from multiple per-spectives. Third, the implementation procedures are introduced to establish slight cooperations, stable associations, and strong virtualizations by considering specific features of fog, edge, and cloud zones. Fourth, both the functionality and performance are validated and discussed in a complex environment. The comparison results illustrate desirable improvements in critical latency and available bandwidth aspects. We expect MARS will be beneficial for both information and transportation communities within the smart city.

Introduction

Mobile networks have been widely utilized in our community (including social interactions [1], health examination [2], etc.). Large-scale users and huge volumes of content are recognized as two typical characteristics during the evolution procedure. By 2022, there will be 12.3 billion mobile connected devices (i.e., 1.5 mobile devices per capita) and monthly global mobile data traffic will reach 77 exabytes (i.e., almost 1 zettabyte in a year) [3]. Users are able to move faster than before since more rapid maglev trains and air shuttles have been deployed. Content can be efficiently processed due to more 5G products and 8K virtual reality devices being created. However, these tendencies bring enormous challenges for both relevant nodes and corresponding data [4]. For instance, node mobility and data portability must support greater moving velocity, which mainly focuses on physical position alterations. Node access and data storage require stronger processing capacity, which places emphasis on logical state conversions. Such com-mon goals of large-scale users and huge volumes of content are demonstrated by the left panel and solid lines in Fig. 1.