Name
Abstract | ||
|---|---|---|
In this paper, we propose a method for desirably redistributing a wireless sensor network's energy consumption from its sensor nodes (which may have scarce energy resources obtained through energy harvesting, for example) to its central node (which often has an abundant energy resource, such as the mains). At the cost of increasing the central node's decoding complexity, our method facilitates (1) a significant reduction in the number of times the sensor nodes are required to retransmit data owing to transmission errors and/or (2) a reduction of up to 3.99 dB in the sensor node's total transmit energy consumption. We show that our approach can reduce the overall energy consumption of transmitting sensor nodes by more than 20% in practice. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICCCN.2008.ECP.36 | ICCCN |
Keywords | Field | DocType |
energy consumption,iterative decoding,wireless sensor networks,energy consumption,iterative decoding,wireless sensor networks | Sensor node,Key distribution in wireless sensor networks,Computer science,Energy harvesting,Computer network,Mobile wireless sensor network,Decoding methods,Energy consumption,Wireless sensor network,Encoding (memory) | Conference |
ISSN | Citations | PageRank |
1095-2055 | 7 | 0.54 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert G. Maunder | 1 | 442 | 42.47 |
| Alex S. Weddell | 2 | 225 | 25.00 |
| geoffrey merrett | 3 | 411 | 49.30 |
| Bashir M. Al-Hashimi | 4 | 1339 | 112.57 |
| Lajos Hanzo | 5 | 10889 | 849.85 |