Name
Title | ||
|---|---|---|
On the Design of Temporal Compression Strategies for Energy Harvesting Sensor Networks. |
Abstract | ||
|---|---|---|
Recent advances in energy harvesting devices and low-power embedded systems are enabling energetically self-sustainable wireless sensing systems able to sense, process, and wirelessly transmit environmental data. In such systems, energy resources need to be judiciously allocated to processing and transmission tasks to guarantee high-fidelity reconstruction of the phenomenon under observation while... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TWC.2015.2489200 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
Transmitters,Wireless sensor networks,Wireless communication,Markov processes,Energy harvesting,Power control,Energy consumption | Sensor node,Key distribution in wireless sensor networks,Optimal control,Lossy compression,Power control,Computer network,Lagrangian relaxation,Wireless sensor network,Mathematics,Channel state information | Journal |
Volume | Issue | ISSN |
15 | 2 | 1536-1276 |
Citations | PageRank | References |
15 | 0.64 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davide Zordan | 1 | 101 | 7.67 |
| Tommaso Melodia | 2 | 4398 | 290.59 |
| Michele Rossi | 3 | 228 | 26.33 |