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  5. Bailigh: Low Power Cross-Layer Data Gathering Protocol for Wireless Sensor Networks
 
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Bailigh: Low Power Cross-Layer Data Gathering Protocol for Wireless Sensor Networks

Author(s)
Bober, Wojciech  
Bleakley, Chris J.  
Uri
http://hdl.handle.net/10197/7082
Date Issued
2009-10-24
Date Available
2015-09-23T08:40:08Z
Abstract
Data gathering systems are an important class of Wireless Sensor Networks (WSNs). As the goals of such systems are long lifetime, high reliability, and unattended operation, efficient use of limited energy is crucial. This paper presents Bailigh, a low power cross-layer protocol designed for low rate periodic data collection. Bailigh schedules the network to wake up at regular intervals for brief periods of data collection. To achieve this Bailigh integrates synchronous low power listening and network level scheduling. The proposed synchronous low power listening technique mitigates clock drift with low overhead and reduces unnecessary radio usage. Integrated scheduling enables staggered communication, which effectively reduces collisions and increases delivery rate. We use simulations to compare the proposed approach with a non cross-layer approach. Results show an average duty cycle of 0.1% and delivery rate of 95%. With duty cycle 8.7 times lower than LPL, Bailigh offers network lifetime of 5.8 years.
Other Sponsorship
Enterprise Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2009 IEEE
Subjects

Wireless sensor netwo...

Data gathering

Cross-layer integrati...

Low duty cycle

DOI
10.1109/ICUMT.2009.5345543
Language
English
Status of Item
Peer reviewed
Conference Details
International Confrence on Ultra Modern Telecommunications (ICUMT), St. Petersburg, Russia, 12 - 14 October, 2009
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Bailigh_Low_Power_Cross-Layer_Data_Gathering_Protocol_for_Wireless_Sensor_Networks.pdf

Size

420.15 KB

Format

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Checksum (MD5)

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Owning collection
Computer Science Research Collection
Mapped collections
CASL Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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