A Novel Control Plane Optimization Strategy for Important Nodes in SDN-IoT Networks
A Novel Control Plane Optimization Strategy for Important Nodes in SDN-IoT Networks
复制标题
SDN-IoT 网络中重要节点的新型控制平面优化策略
DOI：
10.1109/jiot.2018.2888504
复制
发表时间：
2019-04-01
影响因子：
10.6
通讯作者：
Guizani, Mohsen
中科院分区：
文献类型：
--
作者：
Ren, Wei;Sun, Yan;Guizani, Mohsen
软件定义网络是未来物联网（IoT）的关键技术之一，它为运营商提供了集中的可编程控制能力。然而，随着物联网设备和应用的不断增长，目前部署在远端物联网网关上的单一控制平面可能会出现瓶颈。在本文中，我们提出了一个两层层次结构（主从）控制框架来解决这个问题。此外，为了进一步优化控制性能，提出了一种新的从控制器放置策略（SCPS）。在SCPS中，我们首先设计了一个基于改进层次分析法和模糊积分的物联网节点重要性综合评估模型。考虑设备属性、业务属性和控制频率。然后将从控制器的布置表述为二进制整数程序问题。采用改进的二元粒子群优化算法对物联网关键节点的控制时延和控制成本进行优化。最后，我们进行了大量的实验来评估我们的策略的性能。结果表明，与其他竞争方法相比，该方法可将物联网重要节点的控制延迟约降低30.56%。
One of the crucial technologies for future Internet of Things (IoT) is software defined networks, which provides a centralized and programmable control ability for operators. However, the current single control plane deployed on the remote IoT gateway may incur a bottleneck with the continuous growth of IoT devices and applications. In this paper, we propose a two-level hierarchy (the master and slave) control framework to resolve this problem. Additionally, a novel slave controller placement strategy (SCPS) is presented to further optimize the control performance. In SCPS, we first design a synthetic IoT node importance assessment model based on an improved analytic hierarchy process and fuzzy integral. It considers the device attributes, service attributes, and control frequency. Then we formulate the slave controller placement as a binary integer program problem. It is solved by a modified binary particle swarm optimization algorithm to optimize the control delay and control cost of critical IoT nodes. Finally, we carry out extensive experiments to evaluate the performance of our strategy. The results show that, compared to other competing methods, it approximately reduces the control delay of important IoT nodes by 30.56%.