NeTS: Small: MegaIoT: Enabling Thousands of Concurrent Transmissions in Low-Power Networks

NeTS：小型：MegaIoT：在低功耗网络中实现数千个并发传输

• 批准号: 1812554
• 负责人: Shyamnath Gollakota
• 金额: $ 50万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1812554&HistoricalAwards=false
• 关键词: NeTS; Small; MegaIoT; Enabling; Thousands

Recent advances have enabled low-power radio and backscatter communication systems that enable Internet connected sensors and devices that can operate reliably for more than ten years. However, existing systems do not scale well with large-scale deployments of these devices. The project introduces algorithms that can decode thousands of concurrent transmissions from low-power radio and backscatter devices in city-wide wireless deployments. This enables wireless networks that operate at orders of magnitude lower latency and higher throughput and achieves sensor-networking infrastructure in cities that can potentially scale to millions of devices. To this end, the proposal introduces a novel coding technique called distributed chirp spread spectrum modulation that works below the noise floor, operates on low-power radios as well as backscatter devices and can decode all concurrent transmissions at the receiver using a single FFT (Fast Fourier Transform) operation. The proposal addresses practical issues such as timing and frequency synchronization as well as the near-far problem given the extreme low power requirements of these devices. Finally, a test-bed of these low-power devices will be deployed and the feasibility of concurrent transmissions from hundreds to thousands of devices will be evaluated.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

最近的进展使低功率无线电和反向散射通信系统成为可能，使互联网连接的传感器和设备能够可靠地运行超过十年。然而，现有的系统不能很好地适应这些设备的大规模部署。该项目引入了算法，可以解码全市范围内无线部署的低功率无线电和反向散射设备的数千个并发传输。这使得无线网络能够以更低的延迟和更高的吞吐量运行，并在可能扩展到数百万设备的城市中实现传感器网络基础设施。为此，该提案引入了一种新的编码技术，称为分布式啁啾扩频调制，该技术工作在噪声底下，适用于低功率无线电和反向散射设备，并且可以使用单个FFT（快速傅里叶变换）操作解码接收器上的所有并发传输。该提案解决了实际问题，如定时和频率同步以及近距离问题，因为这些设备的功耗要求极低。最后，将部署这些低功耗设备的测试平台，并评估数百到数千个设备并发传输的可行性。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Wind dispersal of battery-free wireless devices

• DOI: 10.1038/s41586-021-04363-9
• 发表时间: 2022-03-16
• 期刊: NATURE
• 影响因子: 64.8
• 作者: Iyer, Vikram;Gaensbauer, Hans;Gollakota, Shyamnath
• 通讯作者: Gollakota, Shyamnath

Airdropping sensor networks from drones and insects

• DOI: 10.1145/3372224.3419981
• 发表时间: 2020-09
• 期刊: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking
• 作者: Vikram Iyer;Maruchi Kim;Shirley Xue;Anran Wang;Shyamnath Gollakota

NetScatter: Enabling Large-Scale Backscatter Networks

NetScatter：实现大规模反向散射网络

• 发表时间: 2019
• 期刊: Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI ’19
• 作者: Hessar, M;Najafi, A: Gollakota
• 通讯作者: Najafi, A: Gollakota