EAGER: Collaborative Research: Network Inference and Data Collection Based on Compressed Sensing in Large-Scale Wireless Sensor Networking

我们的物理世界呈现出一套极其丰富的观察模式。无线传感器网络（WSNs）的最新进展使我们能够以前所未有的高空间密度和长时间持续监测各种物理现象，从而为许多科学努力开辟了新的令人兴奋的机会。由于传感器节点是无人值守和电池供电的，因此网络监测/从sink(s)的间接测量推断和节能在大规模环境wsn的部署中至关重要。因此，一个可行的节能网络监控和数据收集框架对于显著改善WSN的管理/运营并降低其部署成本至关重要。本文基于压缩感知（CS）的最新突破，通过理论和实证相结合的方法，致力于大规模WSNs中节能网络监测/推理和数据收集的基础研究。本研究计划旨在为在高噪声通信环境下运行的真实wsn开发一种新颖而严格的拓扑推理框架。这一探索性研究不同于目前的方法，它可能为大规模wsn的优化设计、开发和管理/运营创造一个新的范例，从而显著延长其使用寿命。反过来，这将导致大幅度降低目前令人望而却步的WSN部署成本，因此在不久的将来，为科学、公民、国家安全和军事目的部署大规模监测WSN可能会获得高回报。拟议的教育计划为本科生和研究生创造了一个新的跨学科教育实践，通过我们扩展的WSN测试平台的实践经验。拓展计划包括为使用扩展WSN测试平台的学生举办夏令营。

Our physical world presents an incredibly rich set of observation modalities. Recent advances in wireless sensor networks (WSNs) enable the continuous monitoring of various physical phenomena at unprecedented high spatial densities and long time durations and, hence, open new exciting opportunities for numerous scientific endeavors. Since sensor nodes are unattended and battery-powered, network monitoring/inference from indirect measurements at the sink(s) and energy conservation are critical in the deployment of large-scale environmental WSNs. Therefore, a viable framework for energy-efficient network monitoring and data collection is fundamentally important to significantly improve WSN management/operations and reduce its deployment costs. This proposal is devoted to a fundamental investigation of energy-efficient network monitoring/inference and data collections in large-scale WSNs, based on the recent breakthrough of compressed sensing (CS) through an integrated theoretical and empirical approach. This research plan aims to develop a novel and rigorous framework of topology inference for real-world WSNs operated in highly noisy communication environments. This proposed exploratory research is different from current approaches, which may create a new paradigm of optimal design, development, and management/operations for large-scale WSNs to significantly extend their lifetime. This, in turn, would lead to a substantial reduction of the current prohibitive cost of WSN deployment, and thus could be high-reward for the deployment of large-scale monitoring WSNs for scientific, civic, national security, and military purposes in the near future. The proposed education plan creates a new interdisciplinary educational practice for both undergraduate and graduate students through hands-on experience with our extended WSN testbed. The outreach plan includes summer camps for school students using an extended WSN testbed.