Name
Title | ||
|---|---|---|
A power consumption balancing algorithm based on evolved bat algorithm for wireless sensor network |
Abstract | ||
|---|---|---|
It is known that sensor nodes equipped with limited battery power in wireless sensor network, the sensor network will paralyze if sensor node run out of its energy. Therefore energy awareness is an essential consideration for wireless sensor network. Recent advances in wireless sensor networks have led to many new protocols specifically for saving sensor node’s energy. A new scheme for predetermining the optimized routing path is proposed based on the evolved bat algorithm (EBA) in this paper. This is the first leading precedent that the EBA is employed to provide the routing scheme for the WSN. A simulation is given and the results obtained by the EBA are compared with the AODV, the LD method based on ACO. The simulation results indicate that our proposed method shows good performance on average power consumption. © Springer International Publishing Switzerland 2015. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-21206-7_38 | Advances in Intelligent Systems and Computing |
Keywords | DocType | Volume |
Evolved bat algorithm,Power consumption,Wireless sensor network | Conference | 370 |
ISSN | ISBN | Citations |
21945357 | 9783319212050 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pan Jeng-Shyang | 1 | 2466 | 269.74 |
| Kong Lingping | 2 | 7 | 0.90 |
| Tsai Pei-Wei | 3 | 13 | 2.65 |
| Václav Snasel | 4 | 1261 | 210.53 |
| Ho Jiun-Huei | 5 | 7 | 0.90 |