Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel energy harvesting (EH)-aware sensor selection policy. Our goal is to minimize the distortion in the reconstruction of the underlying source subject to the causality constraints imposed by the EH process at the sensor nodes. Besides, we determine the optimal power allocation for a given sensor selection (which admits a two-dimensional directional waterfilling interpretation) as the solution of an offline convex optimization problem. To that aim, we propose an iterative procedure. Performance is assessed by means of simulations and a lower bound that we also establish. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/GlobalSIP.2015.7418153 | 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) |
Keywords | Field | DocType |
novel energy harvesting-aware sensor selection policy,energy harvesting wireless sensor networks,EH process,optimal power allocation,offline convex optimization problem,iterative procedure | Resource management,Key distribution in wireless sensor networks,Mathematical optimization,Computer science,Upper and lower bounds,Energy harvesting,Real-time computing,Mobile wireless sensor network,Wireless sensor network,Convex optimization,Distortion | Conference |
Citations | PageRank | References |
3 | 0.41 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel Calvo-Fullana | 1 | 13 | 5.70 |
| Javier Matamoros | 2 | 204 | 21.25 |
| Carles Antón-Haro | 3 | 120 | 20.93 |