Name
Abstract | ||
|---|---|---|
ICT devices nowadays cannot disregard optimizations toward energy sustainability. Wireless Sensor Networks, in particular, are a representative class of a technology where special care must be given to energy saving, due to the typical scarcity and non-renewability of their energy sources, in order to enhance network lifetime. In our work we propose a novel approach that aims to adaptively control the sampling rate of wireless sensor nodes using prediction models, so that environmental phenomena can be consistently modeled while reducing the required amount of transmissions; the approach is tested on data available from a public dataset. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/WoWMoM.2011.5986204 | World of Wireless, Mobile and Multimedia Networks |
Keywords | Field | DocType |
novel approach,energy saving,public dataset,network lifetime,energy sustainability,environmental phenomenon,ict device,predictive model,prediction model,wireless sensor networks,energy source,data models,reliability,predictive models,computational modeling,wireless sensor network,humidity | Data modeling,Key distribution in wireless sensor networks,Scarcity,Wireless,Computer science,Computer network,Information and Communications Technology,Predictive modelling,Energy source,Wireless sensor network,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4577-0350-8 | 3 | 0.42 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. De Paola | 1 | 8 | 0.90 |
| Giuseppe Lo Re | 2 | 338 | 41.26 |
| Milazzo, F. | 3 | 3 | 0.42 |
| Ortolani, M. | 4 | 35 | 5.43 |