CBAM:基于SDN的ndn - iot中基于控制器的广播风暴避免机制

A. Tariq, R. A. Rehman
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引用次数: 1

摘要

被称为数据网络(NDN)的未来互联网范式以及软件定义网络(SDN)和物联网(IoT)等网络架构引起了研究界的关注。NDN是建立在当前internet标准TCP/IP实践基础上的未来internet标准。NDN用命名数据替换节点地址,从而增强数据的可用性。SDN是一种很好的解决新兴技术、高效资源利用和通信的方案。SDN的灵活性和高可编程性引起了全世界的关注。物联网使一切与其他设备和互联网互联。在密集物联网场景下,由于NDN的广播性质,会出现广播风暴问题。相同类型的数据包会导致这个问题,这会增加请求和重传的总数。在物联网中,重要数据包的及时快速传输是一个问题。在本文中,我们提出了一种基于控制器的NDN支持物联网广播风暴避免机制(CBAM),该机制在控制器的帮助下减少了广播问题。我们的方案利用SDN控制器的高效流量管理来控制广播风暴和数据包的高效传输。我们还根据重要性和优先级对数据包进行了分类。报文的优先级由命名标准决定。在兴趣总数和内容检索时间方面,CBAM优于GIF和传统的NDN洪泛。
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CBAM: A Controller based Broadcast Storm Avoidance Mechanism in SDN based NDN-IoTs
The future Internet paradigm Named Data Networking (NDN) and networking architecture like Software Defined Networking (SDN) and Internet of Things (IoT) has caught the attention of research community. NDN is a future internet standard that builds on the practices of current Internet standard TCP/IP. NDN replaces the nodes address with named data that enhance the availability of data. SDN is a good solution for the emerging technologies, efficient resource utilization and communication. Flexible and high-level programmable nature of the SDN caught the attention of the world towards it. IoT enable everything interconnected with other devices and the internet. In dense IoT scenarios, Broadcast storm problem occurs because of the broadcast nature of NDN. Same type of packets cause this problem, that increase the total number of requests and retransmissions. In-time and fast transmission of highly important packets is an issue in IoT. In this paper, we proposed a Controller based Broadcast Storm Avoidance Mechanism (CBAM)in NDN enabled IoT that reduces the broadcast problem with the help of controller. Our scheme used the efficient flow management of SDN controller to control the broadcast storm and efficient transmissions of packets. We also categorized the packet according to the importance and priority. A naming criteria decides the priority of the packet. CBAM outperforms GIF and traditional NDN Flooding in total number of Interests and content retrieval time.
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