Name
Title | ||
|---|---|---|
On the energy impact of four information delivery methods in wireless sensor networks |
Abstract | ||
|---|---|---|
A lot of researches are devoted to energy-save solutions in wireless sensor networks, to face their critical limited energy budget. In this paper we propose four information delivery mechanisms and we compare their relative energy impact, in order to make communications both reliable and energetic efficient. We present a parametric model to choose the best solution with respect to the great amount of factors that influence system performance, e.g., the hardware technology, the source to destination distance, the number of hops involved. For actual sensor nodes (/spl mu/AMPS-1) we are able to guarantee a whole delivery strategy with an energy gain ranging from 5% to 15% with respect to the trivial hop-to-hop decoding one. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/LCOMM.2005.02016 | IEEE Communications Letters |
Keywords | Field | DocType |
Intelligent networks,Wireless sensor networks,Decoding,Hardware,Sensor phenomena and characterization,Circuits,Telecommunication network reliability,Parametric statistics,System performance,Energy consumption | Key distribution in wireless sensor networks,Energy conservation,Energy budget,Parametric model,Computer science,Computer network,Real-time computing,Information delivery,Ranging,Decoding methods,Wireless sensor network | Journal |
Volume | Issue | ISSN |
9 | 2 | 1089-7798 |
Citations | PageRank | References |
2 | 0.57 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Taddia | 1 | 20 | 5.53 |
| G. Mazzini | 2 | 19 | 4.43 |