Lightweight Subspace Coding (LSC) for Wireless Sensor Networks

无线传感器网络的轻量级子空间编码 (LSC)

• 批准号: 486067-2015
• 负责人: Morgan, Yasser
• 金额: $ 1.82万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=585375
• 关键词: Lightweight; Subspace; Coding; LSC; Wireless

Canadian wildfires have grown in quantity and severity over the past few decades. In 2015 Canada experienced a 40% increase in the total number of wildfires (5,830 fires) and an increase of 23% in burned area (3,893,861 Hectares), compared to 2014. It is known that Wireless Sensor Networks (WSN) offer early detection of wildfires, however, the deployment of WSN in the wild remains economically prohibitive. Alternatively, small scale deployments to high-risk areas are only feasible if a reliable and flexible solution can be found to overcome the challenges of light weight communications. In the past few years development of network architectures have been characterized by a consistent increase in complexity and sophistication. Since modern protocols must ultimately operate at acceptable speeds in production networks-and alongside one another-the demand for faster and higher capacity hardware has grown considerably. Alternatively, WSN environments require minimum hardware capabilities, minimum protocol structure, and minimum battery consumption; yet, it requires rapid integration with the increasingly elaborate infrastructure built for notably smarter devices. Our industrial partner is focused on studying light weight custom data planes for WSN in order to guarantee resource isolation that enable the utilization of parallel data planes. This project is focused on improving the capacity of generic sensors with less than a linear increase in resource utilization, so the design can scale as the field-programmable gate array (FPGA) capacity continues to increase. This is achievable if the routing layer is replaced by a Lightweight Subspace Coding (LSC) layer. The proposed solution will allow our partner to develop WSN for wildfire monitoring leading to increased client-base in Canada and internationally.

过去几十年来，加拿大野火的数量和严重程度不断增加。 2015年加拿大经历了 野火总数增加 40%（5,830 起），过火面积增加 23%（3,893,861 公顷），与 2014 年相比。众所周知，无线传感器网络 (WSN) 可以提供早期检测 然而，在野火中，在野外部署无线传感器网络在经济上仍然令人望而却步。或者，小 只有找到可靠、灵活的解决方案，向高风险地区大规模部署才可行。 克服轻量级通信的挑战。 在过去几年中，网络架构的发展特点是网络数量持续增长 复杂性和复杂性。由于现代协议最终必须以可接受的速度运行 生产网络以及对更快、更高容量硬件的需求不断增长 相当。或者，WSN 环境需要最少的硬件功能、最少的协议 结构和最小电池消耗；然而，它需要与日益复杂的系统快速集成 为更加智能的设备而构建的基础设施。 我们的工业合作伙伴专注于研究 WSN 的轻量级定制数据平面，以保证 资源隔离，支持并行数据平面的利用。该项目的重点是改善 通用传感器的容量与资源利用率的线性增加相比，因此设计可以随着 现场可编程门阵列（FPGA）容量不断增加。如果路由层是可以实现的 被轻量级子空间编码（LSC）层取代。拟议的解决方案将使我们的合作伙伴能够 开发用于野火监测的无线传感器网络，从而增加加拿大和国际上的客户群。