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BailighPulse: A Low Duty Cycle Data Gathering Protocol For Mostly-Off Wireless Sensor Networks
Author(s)
Date Issued
2014-08-20
Date Available
2017-08-20T01:00:20Z
Abstract
Mostly-off sensor network applications alternate between long periods of inactivity (ranging from minutes to hours) and short periods of activity (normally a few seconds). From an energy consumption point of view, it is desirable that the network switch off completely during application inactive periods and wake-up efficiently at the start of application active periods. The fundamental problem preventing this is the inter-node clock skew arising from the network being off for a long period. Existing solutions maintain synchronization during the inactive period or use the radio excessively to enable asynchronous wake-up. Herein, we propose BailighPulse, a low duty cycle data gathering protocol for mostly-off WSN applications. BailighPulse incorporates a novel multi-hop wake-up scheme that allows for energy efficient recovery of network synchronization after long off periods. The scheme uses a staggered wake-up schedule and optimized channel polling during wake-up based on knowledge of the pre-defined application-level schedule. Herein, we provide an extensive assessment of the protocol’s performance including an analytic model, simulations, and testbed results. We show that, for a homogeneous schedule with collection period greater than 2 min, BailighPulse reduces radio duty cycles by at least 30% and 90% compared to Dozer and B-MAC, respectively. We also show that BailighPulse is able to reduce radio duty cycle by to 68% for a heterogeneous schedule under similar conditions.
Other Sponsorship
Enterprise Ireland
Type of Material
Journal Article
Publisher
Elsevier
Journal
Computer Networks
Volume
69
Start Page
51
End Page
65
Copyright (Published Version)
2014 Elsevier
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
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BailighPulse_A_Low_Duty_Cycle_Data_Gathering_Protocol_For_Mostly-Off_Wireless_Sensor_Networks.pdf
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Format
Adobe PDF
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