NeTS: GOALI: Towards Adaptability to Variations of Renewable Energy in Large Scale Rechargeable Wireless Sensor Networks

该项目由北卡罗来纳大学夏洛特分校和电力研究所（EPRI）的研究人员进行，旨在解决利用收集的环境能量实现无线传感器网络（wsn）可靠和不间断运行的实际设计问题。挑战在于，这些能源往往受制于显著的空间和时间变化。该项目的目标是创建一个框架，允许可充电节点在执行所需的监测任务时自动适应估计的能源预算。这个自适应框架在两个级别上实现。第一种适用于传输功率控制和能量感知路由；而第二个解决适应时间变化使用自适应平交道口采样方案。智力优势：提出的研究组件可应用于任何可充电传感器网络。所提出的协同功率控制方法可以潜在地解决监听问题，这是大规模无线传感器网络中的一个关键问题。这里考虑的能源感知和负载平衡路由问题解决了满足特定能源预算的独特需求。这些网络级解决方案与自适应应用级解决方案集成，旨在克服能量变化带来的挑战。更广泛的影响：本研究解决了目前在研究界广泛关注的一个关键问题。此外，该项目将通过提供两门研究生课程和创建研究生水平的研究项目，对北卡罗来纳大学夏洛特分校的学生产生教育影响。该项目将弥合理论研究与应用之间的差距，并将促进有关学术和工业伙伴之间更强有力的研究合作。

This project, which is to be conducted by researchers from UNC Charlotte and the Electric Power Research Institute (EPRI), addresses practical design issues for achieving reliable and uninterrupted operation of wireless sensor networks (WSNs) using harvested ambient energy. The challenge is that these energy sources are often subject to significant spatial and temporal variations. The goal of this project is to create a framework allowing rechargeable nodes to automatically adapt to estimated energy budgets while performing their required monitoring tasks. This adaptive framework is implemented at two levels. The first applies to transmission power control and energy-aware routing; while the second addresses adaptations to temporal variations using an adaptive level-crossing sampling scheme. Intellectual Merit: The proposed research components may be applied to any rechargeable sensor network. The proposed cooperative power control method can potentially solve the overhearing problem, which is a key issue in large-scale wireless sensor networks. The energy-aware and load-balanced routing problems considered here address the unique requirement of meeting specific energy budgets. These network-level solutions are integrated with an adaptive application-level solution designed to overcome the challenges introduced by energy variations.Broader Impacts: This research addresses a critical issue that is currently of wide interest in the research community. In addition, this project will make educational impacts on UNC-Charlotte students by offering two graduate courses and creating graduate level research projects. This project will bridge the gap between theoretical research and applications and will facilitate stronger research collaborations between the academic and industrial partners involved.