A Scheme for Delay-Sensitive Spatiotemporal Routing in SDN-Enabled Underwater Acoustic Sensor Networks
A Scheme for Delay-Sensitive Spatiotemporal Routing in SDN-Enabled Underwater Acoustic Sensor Networks
复制标题
SDN水下声学传感器网络中时延敏感时空路由方案
DOI：
10.1109/tvt.2019.2931312
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发表时间：
2019-09-01
影响因子：
6.8
通讯作者：
Du, Jiaxin
中科院分区：
文献类型：
--
作者：
Lin, Chuan;Han, Guangjie;Du, Jiaxin
在水声传感器网络(UASN)中，传感器部署在海洋的不同区域，执行信息收集和对延迟敏感的路由到数据中心进行进一步处理或工业计算。然而，在UASN中，由于潮汐或自主水下航行器的作用，网络状态具有时空特性。为了稳定地路由业务，特别是在考虑UASN的时空特性时，具有智能流量工程或路由策略的网络体系结构是必不可少的。本文采用软件定义网络(SDN)技术，提出了一种支持软件定义网络的UASN分布式体系结构。基于所提出的体系结构，我们提出了一种在支持SDN的UASN中用于时延敏感的时空路由的DSR-SDN方案。DSR-SDN包括三个阶段：第一，拓扑感知；第二，时空特性估计；第三，路由计算。具体地说，利用SDN特征，DSR-SDN基于提出的软件定义的信标方案提供拓扑感知。基于检测到的拓扑，基于提出的基于SDN的分层节点定位方法SDN-HL来估计网络状态的时空特征。在SDN控制器的引导下，SDN-HL利用所提出的“最小加权间隙”公式和ADAM算法优化定位，并建立间接链路以提高定位速度。为了在具有时空特性的网络中对流量进行路由，我们采用了时间扩展网络的方法，基于该方法可以在路由开始之前做出时空路由决策。仿真结果表明，DSR-SDN方案能够对网络状态进行准确的时空特征估计，并为感知数据提供时延敏感的时空路由。
In underwater acoustic sensor networks (UASNs), the sensors are deployed at different areas of the ocean, which perform information collection and delay-sensitive routing to the data center for further processing or industrial computing. However, in UASNs, the network states have spatiotemporal characteristics due to tides or autonomous underwater vehicles. To steadily route the traffic especially when the spatiotemporal characteristics of the UASNs are considered, a network architecture with intelligent traffic engineering or routing policies is indispensable. In this paper, we employ software-defined networking (SDN) technology and propose an SDN-enabled distributed architecture for UASNs. Based on the proposed architecture, we propose a scheme DSR-SDN for delay-sensitive spatiotemporal routing in SDN-enabled UASNs. The DSR-SDN includes three phases: First, topology awareness; second, spatiotemporal characteristics estimation; and third, routing computation. Particularly, with SDN features, DSR-SDN provides topology awareness based on a proposed software-defined beaconing scheme. Based on the detected topology, the spatiotemporal characteristics of the network states are estimated based on a proposed SDN-based hierarchical node localizing approach SDN-HL. Lead by the SDN controllers, SDN-HL makes use of the proposed “minimum weighted gap” formulation and Adam algorithm to optimize the localization and builds the indirect links to increase the localization rate. To route the traffic through the network with spatiotemporal characteristics, we adopt the time-expanded network approach, based on which a spatiotemporal route decision can be made before the routing starts. The simulation results demonstrate that the proposed scheme, i.e., DSR-SDN, can conduct accurate spatiotemporal characteristic estimation for the network states and provide delay-sensitive spatiotemporal routing for the sensed data.