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"Energy Efficient Tasks Allocations Algorithms for Wireless Powered Int" by Honglin Ren

Internet of Things (IoT) networks are expected to provide on demand sensing services to applications that enable autonomous driving, targets tracking, and smart cities. In particular, users and applications can request sensor devices to monitor a given area, collect data, and/or conduct computation on sensed data. In this respect, a/an controller/operator helps orchestrate the operations of sensor devices where they are instructed to execute tasks such as sensing, transmission, storage, and computation. To realize the full potential of IoT networks, the resources on sensor devices such as computation, energy, and bandwidth must be managed carefully. To date, researchers have considered applying network function virtualization (NFV) in IoT networks. Advantageously, NFV allows an operator to abstract and decouple physical resources into logical units, which are then shared by independent users. In NFV, the resources of devices are allocated to various applications in terms of virtual net ....

Energy Efficiency , Internet Of Things Iot , Adio Frequency Rf Charging , Reinforcement Learning , Task Allocation ,

Improving agrivoltaic efficiency via light spectrum optimization

US scientists have discovered that agrivoltaic systems could produce more solar energy and crops by using wavelength-selective, semi-transparent PV modules to absorb the blue light spectrum while transmitting ....

United States , Kostenloser Wertpapierhandel , University Of California , Energy Co , All Light Spectra Were Created Equal , Can We Harvest Light , Optimum Food Energy ,