CC* Integration: End-to-End Software-Defined Cyberinfrastruture for Smart Agriculture and Transportation

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Imaging and other sensor-based understanding of plant behavior is becoming keyto new discoveries in plant genotypes leading to more productive and environment-friendly farming.Similarly, distributed sensing is seen as a key component of a safe, efficient, and sustainable autonomous transportation systems.Existing research and education in agriculture and transportation systems are constrained by the lack of connectivity between field-deployed testbed equipment and computing infrastructure. To realize that connectivity, this project proposes to deploy CyNet wireless networks toconnect experimental science testbeds to high-performance cloud computing infrastructures.The CyNet project will:1) deploy Predictable, Reliable, Real-time, and high-Throughput (PRRT) wireless networking solutions using the standards-compliant, open-source Open Air Interface software framework and commodity Universal Software Radio Peripheral (USRP) hardware;2) integrate these wireless networks with software defined networks to seamlessly integrate outdoor cameras, sensors, and autonomous vehicles, and connect these components to high performance cloud computing systems;3) implement an infrastructure virtualization system that partitions CyNet into programmable, isolated experiments; and4) create an infrastructure management system that performs admission and access control and establishes specified resource allocation policies.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.