首页> 外文期刊>Internet of Things Journal, IEEE >SD-NFV as an Energy Efficient Approach for M2M Networks Using Cloud-Based 6LoWPAN Testbed
【24h】

SD-NFV as an Energy Efficient Approach for M2M Networks Using Cloud-Based 6LoWPAN Testbed

机译:SD-NFV作为使用基于云的6LoWPAN测试平台进行M2M网络节能的方法

获取原文
获取原文并翻译 | 示例
       

摘要

Machine-to-Machine (M2M) communication is the leading technology for realising the Internet-of-Things (IoT). The M2M sensor nodes are characterized by low-power and low-data rates devices which have increased exponentially over the years. IPv6 over low power wireless personal area network (6LoWPAN) is the first protocol that provides IPv6 connectivity to the wireless M2M sensor nodes. Having a tremendous number of M2M sensor nodes execute independent control decision leads to difficulty in network control and management. In addition, these evergrowing devices generate massive traffic and cause energy scarcity, which affects the M2M sensor node lifetime. Recently, software defined-networking (SDN) and network functioning virtualization (NFV) are being used in M2M sensor networks to add programmability and flexibility features in order to adopt the exponential increment in wireless M2M traffic and enable network configuration even after deployment. This paper presents a proof-of-concept implementation which aims to analyze how SDN, NFV, and cloud computing can interact together in the 6LoWPAN gateway to provide simplicity and flexibility in network management. The proposed approach is called customized software defined-NFV (SD-NFV), and has been tested and verified by implementing a real-time 6LoWPAN testbed. The experimental results indicated that the SD-NFV approach reduced the network discovery time by 60% and extended the node’s lifetime by 65% in comparison to the traditional 6LoWPAN network. The implemented testbed has one sink which is the M2M 6LoWPAN gateway where the network coordinator and the SDN controller are executed. There are many possible ways to implement 6LoWPAN testbed but limited are based on open standards development boards (e.g., Arduino, Raspberry Pi, and Beagle Bones). In the current testbed, the Arduino board is chosen and the SDN controller is customized and written using C++ language to fit the 6LoWPAN network requirements. Finally, SDN and NFV have been envisioned as the most promising techniques to improve network programmability, simplicity, and management in cloud-based 6LoWPAN gateway.
机译:机器对机器(M2M)通信是用于实现物联网(IoT)的领先技术。 M2M传感器节点的特点是低功耗和低数据速率的设备,这些设备近年来呈指数级增长。低功耗无线个人局域网(6LoWPAN)上的IPv6是第一个向无线M2M传感器节点提供IPv6连接的协议。拥有大量M2M传感器节点执行独立控制决策会导致网络控制和管理困难。此外,这些不断增长的设备会产生大量流量并导致能源短缺,从而影响M2M传感器节点的寿命。最近,M2M传感器网络中使用了软件定义网络(SDN)和网络功能虚拟化(NFV)来增加可编程性和灵活性,以便采用无线M2M流量的指数级增长,甚至在部署后也可以进行网络配置。本文提出了一个概念验证的实现,旨在分析SDN,NFV和云计算如何在6LoWPAN网关中相互作用,以提供简单和灵活的网络管理。所提出的方法称为定制软件定义的NFV(SD-NFV),并已通过实施实时6LoWPAN测试平台进行了测试和验证。实验结果表明,与传统的6LoWPAN网络相比,SD-NFV方法将网络发现时间减少了60%,并将节点的寿命延长了65%。实现的测试平台有一个接收器,它是M2M 6LoWPAN网关,在其中执行网络协调器和SDN控制器。有许多方法可以实现6LoWPAN测试平台,但受限于开放标准开发板(例如Arduino,Raspberry Pi和Beagle Bones)。在当前的测试平台中,选择Arduino板,并使用C ++语言自定义和编写SDN控制器,以适应6LoWPAN网络要求。最后,SDN和NFV已被视为提高基于云的6LoWPAN网关中的网络可编程性,简单性和管理性的最有前途的技术。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号