Name
Abstract | ||
|---|---|---|
The key challenge in the design of wireless sensor networks is maximizing their lifetime. The information about the amount of available energy in each part of the network is called the energy map and can be useful to increase the lifetime of the network. In this paper, we address the problem of constructing the energy map of a wireless sensor network using prediction-based approaches. We also present an energy dissipation model that is used to simulate the behavior of a sensor node in terms of energy consumption. Simulation results compare the performance of the prediction-based approaches with a naive one in which no prediction is used. The results show that the prediction-based approaches outperform the naive in a variety of parameters. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-39867-7_2 | PWC |
Keywords | Field | DocType |
prediction.,energy map,sensor networks,energy dissipation,wireless sensor network,sensor network | Sensor node,Key distribution in wireless sensor networks,Energy absorption,Telecommunications,Computer science,Dissipation,Sensor array,Real-time computing,Available energy,Energy consumption,Wireless sensor network,Distributed computing | Conference |
Citations | PageRank | References |
16 | 1.31 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raquel A. F. Mini | 1 | 248 | 23.58 |
| Antonio Alfredo Ferreira Loureiro | 2 | 29 | 3.24 |
| Badri Nath | 3 | 5438 | 995.88 |