Collaborative Research: CNS Core: Small: Scalable, Flexible, and Dependable Architecture Design for Heterogeneous Internet of Things

合作研究：CNS核心：小型：异构物联网的可扩展、灵活、可靠的架构设计

• 批准号: 2008049
• 负责人: Linke Guo
• 金额: $ 25万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2008049&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Small

The proliferation of widely deployed Internet of Things (IoT) has changed the way people access information, transforming every aspect of their daily life. Given different data transmission and service requirements, various different wireless protocols have been developed and applied to IoT. This device heterogeneity issue has become the major stumbling block to the scalability, flexibility, and dependability of real IoT systems, such as industrial IoT, smart manufacturing, and connected healthcare. This project is developing a novel network-layer design in a hierarchical architecture for current IoT systems, where an intermediate layer will be introduced to help collect data from heterogeneous IoT devices. In particular, the first research thrust will focus on network stability for large-scale data collection by leveraging mobile multi-protocol gateways (M-MGs) as the intermediate layer to support dynamic data traffic patterns. In face of the limited spectrum resource on coexisting wireless protocols, the second research thrust will design adaptive and hierarchical resource management schemes to better utilize available M-MGs for data collection. Various types of uncoordinated protocols coexist in the same wireless environment, which inevitably raises serious concerns on the security of each communication link. The third research thrust will investigate secrecy capacity enhancement approaches to prevent wireless attacks from compromising the system dependability. The research activities are being thoroughly evaluated via a combination of simulation, experiments, prototyping, and implementation in practical IoT systems.The success of this project will serve as a key enabler to the network-level design of future heterogeneous IoT systems. The proposed novel architecture can better handle the coexistence issue in large-scale IoT systems, providing strong stability to the network performance. By leveraging the inexpensive M-MGs or even smartphones, existing IoT infrastructures do not need to have a complete retrofitting, which greatly reduces the renovation costs and extends their application scenarios. The developed theoretical analysis on the secrecy capacity of IoT will enhance the existing knowledge to provide high-security standards in addition to existing cryptographic approaches.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.

广泛部署的物联网（IoT）的激增改变了人们访问信息的方式，改变了他们日常生活的方方面面。鉴于不同的数据传输和服务需求，已经开发了各种不同的无线协议并应用于物联网。这种设备异构性问题已成为真实的物联网系统（如工业物联网、智能制造和互联医疗）可扩展性、灵活性和可靠性的主要障碍。该项目正在为当前的物联网系统开发一种分层架构中的新型网络层设计，其中将引入中间层以帮助从异构物联网设备收集数据。特别是，第一个研究重点将集中在大规模数据收集的网络稳定性，利用移动的多协议网关（M-MG）作为中间层，以支持动态数据流量模式。第二个研究方向是在现有无线协议频谱资源有限的情况下，设计自适应的、分层的资源管理方案，以更好地利用可用的M-MG进行数据采集。各种类型的不协调协议共存于同一个无线环境中，这不可避免地引起了对每个通信链路的安全性的严重关注。第三个研究重点将探讨保密能力增强的方法，以防止无线攻击损害系统的可靠性。通过模拟、实验、原型设计和实际物联网系统的实施，对研究活动进行了全面评估。该项目的成功将成为未来异构物联网系统网络级设计的关键推动因素。所提出的新架构可以更好地处理大规模物联网系统中的共存问题，为网络性能提供强大的稳定性。通过利用廉价的M-MG甚至智能手机，现有的物联网基础设施不需要进行完整的改造，这大大降低了改造成本并扩展了其应用场景。通过对物联网的保密能力进行理论分析，可以在现有加密方法的基础上，进一步丰富现有知识，提供高安全性标准。该奖项体现了NSF的法定使命，通过使用基金会的知识价值和更广泛的影响力评审标准进行评估，被认为值得支持。

项目成果

DQN-based QoE Enhancement for Data Collection in Heterogeneous IoT Network

• DOI: 10.1109/mass56207.2022.00032
• 发表时间: 2022-10
• 期刊: 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)
• 作者: Hansong Zhou;Sihan Yu;Xiaonan Zhang;Linke Guo;B. Lorenzo

ULPT: A User-Centric Location Privacy Trading Framework for Mobile Crowd Sensing

• DOI: 10.1109/tmc.2021.3058181
• 发表时间: 2021-02
• 期刊: IEEE Transactions on Mobile Computing
• 影响因子: 7.9
• 作者: Wenqiang Jin;Mingyan Xiao;Linke Guo;Lei Yang;Ming Li

Autonomous Robustness Control for Fog Reinforcement in Dynamic Wireless Networks

动态无线网络中雾增强的自主鲁棒性控制

• DOI: 10.1109/tnet.2021.3091332
• 发表时间: 2021
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Lorenzo, Beatriz;Gonzalez-Castano, Francisco Javier;Guo, Linke;Gil-Castineira, Felipe;Fang, Yuguang
• 通讯作者: Fang, Yuguang

Defending against Cross-Technology Jamming in Heterogeneous IoT Systems

• DOI: 10.1109/icdcs54860.2022.00073
• 发表时间: 2022-07
• 期刊: 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
• 作者: Sihan Yu;ChunChih Lin;Xiaonan Zhang;Linke Guo

IS-WARS: Intelligent and Stealthy Adversarial Attack to Wi-Fi-Based Human Activity Recognition Systems

• DOI: 10.1109/tdsc.2021.3110480
• 发表时间: 2022-11
• 期刊: IEEE Transactions on Dependable and Secure Computing
• 影响因子: 7.3
• 作者: Pei Huang;Xiaonan Zhang;Sihan Yu;Linke Guo