Issue No. 09 - Sept. (2013 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2012.154
Maria Gorlatova , Columbia University, New York
Aya Wallwater , Columbia University, New York
Gil Zussman , Columbia University, New York
Recent advances in energy harvesting materials and ultra-low-power communications will soon enable the realization of networks composed of energy harvesting devices. These devices will operate using very low ambient energy, such as energy harvested from indoor lights. We focus on characterizing the light energy availability in indoor environments and on developing energy allocation algorithms for energy harvesting devices. First, we present results of our long-term indoor radiant energy measurements, which provide important inputs required for algorithm and system design (e.g., determining the required battery sizes). Then, we focus on algorithm development, which requires nontraditional approaches, since energy harvesting shifts the nature of energy-aware protocols from minimizing energy expenditure to optimizing it. Moreover, in many cases, different energy storage types (rechargeable battery and a capacitor) require different algorithms. We develop algorithms for calculating time fair energy allocation in systems with deterministic energy inputs, as well as in systems where energy inputs are stochastic.
Energy storage, Resource management, Energy harvesting, Energy measurement, Availability, Algorithm design and analysis, Capacitors, energy-aware algorithms, Energy harvesting, ultra-low-power networking, active RFID, indoor radiant energy, measurements
G. Zussman, M. Gorlatova and A. Wallwater, "Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms," in IEEE Transactions on Mobile Computing, vol. 12, no. , pp. 1853-1865, 2013.