Title :
Performance evaluation of resource allocation policies for energy harvesting devices
Author :
Gorlatova, Maria ; Bernstein, Andrey ; Zussman, Gil
Author_Institution :
Electr. Eng., Columbia Univ., New York, NY, USA
Abstract :
We focus on resource allocation for energy harvesting devices. We analytically and numerically evaluate the performance of algorithms that determine time fair energy allocation in systems with predictable and stochastic energy inputs. To gain insight into the performance of networks of devices, we obtain results for the simple cases of a single node and a link. Due to the need for low complexity algorithms, we focus on simple policies (some of which proposed in the past as heuristics) and analytically derive performance guarantees. We also evaluate the performance via simulation, using real-world energy traces that we collected for over a year, and in a testbed of energy harvesting devices developed within the EnHANTs project.
Keywords :
energy harvesting; resource allocation; stochastic systems; EnHANTs project; complexity algorithms; energy harvesting devices; real-world energy trace; resource allocation policy; stochastic energy inputs; Approximation algorithms; Energy harvesting; Energy storage; Markov processes; Performance evaluation; Predictive models; Energy harvesting; energy-aware algorithms; indoor radiant energy; measurements; ultra-low-power networking;
Conference_Titel :
Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2011 International Symposium on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-61284-822-8
DOI :
10.1109/WIOPT.2011.5930014