DocumentCode
3237915
Title
LASA: Low-energy adaptive slot allocation scheduling algorithm for wireless sensor networks
Author
Hussain, Sattar ; Zahmati, Amir Sepasi ; Fernando, Xavier
Author_Institution
Dept. of Electr. & Comp. Eng., Ryerson Univ., Toronto, ON
fYear
2009
fDate
March 30 2009-April 1 2009
Firstpage
1
Lastpage
6
Abstract
The wide range of wireless sensor network (WSN) applications makes it necessary to design MAC protocols that not only save energy and extend network life, but also improve network throughput, bandwidth utilization, and latency performance. In this paper we propose LASA (low-energy adaptive slot allocation) to replace the fix slot size in classical time division multiple access (TDMA) schemes by a variable slot size that dynamically adapts to the data size generated at sensor nodes. The proposed scheme eliminates slot idle time when nodes remain unnecessarily active with no data to transmit or receive. This approach outperforms the static slot size TDMA scheme, especially when there is a high traffic fluctuation and a big variance in the sensor data length. Our results show that this scheme significantly enhances network throughput, reduces bandwidth utilization, saves energy and extends network lifetime.
Keywords
access protocols; adaptive scheduling; time division multiple access; wireless sensor networks; MAC protocols; bandwidth utilization; latency performance; low-energy adaptive slot allocation scheduling algorithm; time division multiple access schemes; wireless sensor networks; Access protocols; Bandwidth; Delay; Media Access Protocol; Scheduling algorithm; Telecommunication traffic; Throughput; Time division multiple access; Wireless application protocol; Wireless sensor networks; CSMA; Energy-Efficient; MAC; TDMA; Wireless Sensor Network (WSN);
fLanguage
English
Publisher
ieee
Conference_Titel
Sarnoff Symposium, 2009. SARNOFF '09. IEEE
Conference_Location
Princeton, NJ
Print_ISBN
978-1-4244-3381-0
Electronic_ISBN
978-1-4244-3382-7
Type
conf
DOI
10.1109/SARNOF.2009.4850360
Filename
4850360
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