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Fourth International Conference on Ubi-Media Computing
A Power Saving Sleep Scheduling Based on Transmission Power Control for Wireless Sensor Networks
Sao Paulo, Brazil
July 03-July 04
ISBN: 978-0-7695-4493-9
ASCII Text
x 
 
Ying-Hong Wang, Ya-Lan Wu, Kuo-Feng Huang, "A Power Saving Sleep Scheduling Based on Transmission Power Control for Wireless Sensor Networks," International Conference on Ubi-Media Computing, pp. 19-24, Fourth International Conference on Ubi-Media Computing, 2011.
 
 
BibTex
x
 
@article{ 10.1109/U-MEDIA.2011.21,
author = {Ying-Hong Wang and Ya-Lan Wu and Kuo-Feng Huang},
title = {A Power Saving Sleep Scheduling Based on Transmission Power Control for Wireless Sensor Networks},
journal ={International Conference on Ubi-Media Computing},
volume = {0},
year = {2011},
isbn = {978-0-7695-4493-9},
pages = {19-24},
doi = {http://doi.ieeecomputersociety.org/10.1109/U-MEDIA.2011.21},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Conference on Ubi-Media Computing
TI - A Power Saving Sleep Scheduling Based on Transmission Power Control for Wireless Sensor Networks
SN - 978-0-7695-4493-9
SP19
EP24
A1 - Ying-Hong Wang,
A1 - Ya-Lan Wu,
A1 - Kuo-Feng Huang,
PY - 2011
KW - Wireless Sensor Networks
KW - Lifetime
KW - Transmission Power Control
KW - Sleep Scheduling
VL - 0
JA - International Conference on Ubi-Media Computing
ER -
 
The relate technologies of Wireless Sensor Networks (WSNs) have become an essential research in the future. The sensor nodes of WSNs can only use limited energy like battery. When the energy has been exhausted, WSNs cannot work anymore. In order to extend the lifetime of WSNs, the management of the sensors¡¦ energy is an important issue. The Sleep Schedule addressed on ¡§A Power Control Mechanism based on Sleep Scheduling for Wireless Sensor Networks¡¨ cannot guarantee that neighbor node has ability to do transmission. Use the improved algorithm and the original algorithm to do simulation comparison. The improved algorithm which is better than the network without sleep scheduling algorithm can complete 40 rounds and has no data loss. As a result, the improved algorithm proposed in this thesis can effectively resolve the data loss problem of the original algorithm.
Index Terms:
Wireless Sensor Networks, Lifetime, Transmission Power Control, Sleep Scheduling
Citation:
Ying-Hong Wang, Ya-Lan Wu, Kuo-Feng Huang, "A Power Saving Sleep Scheduling Based on Transmission Power Control for Wireless Sensor Networks," u-media, pp.19-24, Fourth International Conference on Ubi-Media Computing, 2011
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