一种用于低功耗和有损网络的混合路由协议

Stephen Dawson-Haggerty, A. Tavakoli, D. Culler
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引用次数: 118

摘要

现有的传感器网络路由协议要么专门针对基于集合的流量,要么针对同构网络中的点对点流量进行优化。随着这些网络变得越来越通用,这些工作负载在异构设置中的混合是预期的,同时仍然遵守低功耗和有损网络(l2n)的资源限制。我们的设计利用了L2N部署的主要两层拓扑结构,具有功能的边界路由器补充了资源匮乏的网络节点,并针对典型的流量工作负载进行了优化,主要包括基于集合的流量和点对点流量的特定实例。我们提出了Hydro,这是一种混合路由协议,结合了本地敏捷性和集中控制。网络内节点采用分布式DAG形式向边界路由器提供默认路由,同时形成三角形点对点路由的基础。边界路由器使用从网络内节点接收到的拓扑报告构建一个全局(但通常不完整)的网络视图,随后在网络中为活动的点对点流安装优化的路由。在现有大量关于l2n中的分布式DAG和大规模网络中的集中式路由的文献的基础上,我们的贡献在于将这些思想以路由协议的形式合并在一起,该协议既满足l2n的需求,又保持其固有约束的基础。跨测试平台和部署的评估展示了Hydro在各种工作负载和网络条件下的性能和功能。
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Hydro: A Hybrid Routing Protocol for Low-Power and Lossy Networks
Existing routing protocols for sensor networks ei- ther exclusively focus on collection-based traffic, or optimize for point-to-point traffic in a homogeneous network. As these networks become more general, a mix of these workloads in a heterogeneous setting is expected, while still abiding by the resource constraints of low- power and lossy networks (L2Ns). Our design leverages the predominantly two-tiered topology of L2N deployments, with capable border routers supplementing resource-starved in- network nodes, and optimizes for the typical traffic workloads consisting mainly of collection based traffic with specific instances of point-to-point traffic. We present Hydro, a hybrid routing protocol that combines local agility with centralized control. In-network nodes use distributed DAG formation to provide default routes to border routers, concurrently forming the foundation for triangle point- to-point routing. Border Routers build a global, but typically incomplete, view of the network using topology reports received from in- network nodes, and subsequently install optimized routes in the network for active point-to-point flows. Building on the vast existing literature on distributed DAG for- mation in L2Ns and centralized routing in large-scale networks, our contribution lies in the merging of these ideas in the form of a routing protocol that addresses the needs of L2Ns while remaining grounded in their inherent constraints. Evaluations across testbeds and deployments demonstrate the performance and functionality of Hydro across a variety of workloads and network conditions.
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