Human enabled green IoT in 5G networks

Sadia Din, Awais Ahmad, Anand Paul
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引用次数: 2

Abstract

Internet of Things (IoT) plays a major role in connecting the physical world with the cyber world through new services and seamless interconnection between heterogeneous devices. Such heterogeneous devices tend to generate a massive volume of Big Data. However, exploiting green schemes for IoT is still a challenge since IoT attains a large scale and becomes more multifaceted, the current trends of analyzing Big Data are not directly applicable to it. Similarly, achieving green IoT through the use of 5G also poses new challenges when it comes to transferring huge volume of data in an efficient way. To address the challenges above, this paper presents a scheme for human- enabled green IoT in 5G network. Green IoT is achieved by grouping mobile nodes in a cluster. Also, a mobility management model is designed that helps in triggering efficient handover and selecting optimal networks based on multi-criteria decision modeling. Afterward, we design a network architecture that integrates green IoT with 5G network. Moreover, the 5G network architecture is supported by proposed protocol stack, which maps Internet Protocol (IP), Medium Access Protocol (MAC), and Location identifiers (LOC). The proposed scheme is also implemented using C programming language to validate mobility model in 5G, regarding cost, energy, and Quality of Service.
5G网络中人类启用的绿色物联网
物联网(IoT)通过新型服务和异构设备之间的无缝连接,在连接物理世界与网络世界方面发挥着重要作用。这种异构设备往往会产生大量的大数据。然而,物联网的绿色方案开发仍然是一个挑战,因为物联网达到了大规模,变得更加多方面,目前的大数据分析趋势并不直接适用于它。同样,通过使用5G实现绿色物联网也带来了新的挑战,当涉及到以有效的方式传输大量数据时。为了解决上述挑战,本文提出了5G网络中人为绿色物联网的方案。绿色物联网是通过将移动节点分组在一个集群中实现的。此外,还设计了基于多准则决策建模的移动性管理模型,该模型有助于触发高效的切换和选择最优网络。随后,我们设计了绿色物联网与5G网络相结合的网络架构。此外,5G网络架构由提议的协议栈支持,该协议栈映射了互联网协议(IP)、介质访问协议(MAC)和位置标识符(LOC)。该方案还使用C编程语言实现,以验证5G中的移动模型,包括成本,能源和服务质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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