BailighPulse: A low duty cycle data gathering protocol for mostly-off Wireless Sensor Networks

Abstract

Publication informationComputer Networks, 69 : 51-65Publisher Elsevier Item record/more information http://hdl.handle.net/10197/7089 Publisher's statementThis is the author's version of a work that was accepted for publication in Computer Networks. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Networks (VOL 69, ISSUE 2015, (2015 Abstract Mostly-o 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 o completely during application inactive periods and wake-up eciently at the start of application active periods. The fundamental problem preventing this is the inter-node clock skew arising from the network being o 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-o WSN applications. BailighPulse incorporates a novel multihop wake-up scheme that allows for energy ecient recovery of network synchronization after long o periods. The scheme uses a staggered wake-up schedule and optimized channel polling during wake-up based on knowledge of the pre-dened 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 minutes, 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.

Switching Algorithm with Prediction Strategy for Maximizing Lifetime in Wireless Sensor Network

“…The problem of network lifetime maximization of WSNs has been extensively investigated in recent years. Many researchers prolong network lifetime by using energy-efficient techniques, such as efficient duty-cycling [7][8][9][10], sink mobility [11][12][13][14], topology control for redundant nodes [15][16][17], and load balancing [6,10,18,19], among others.…”

“…We can conclude that the optimal -bounded balanced tree constructed by RaSMaLai is not always the tree with the maximum lifetime. For maximizing the network lifetime, the highest load among all nodes in the data collection tree should be minimized, as presented in formula (7).…”

“…Therefore, maximizing network lifetime has become an important target in protocol design for data collection. Extensive researches have been proposed on this topic, and many popular energy conservation techniques are proposed such as efficient duty-cycling [7][8][9][10], sink mobility [11][12][13][14], topology control for redundant nodes [15][16][17], and load balancing [6,10,18,19], among others.…”

A Collaborative Data Gathering Mechanism Based on Fuzzy Decision for Wireless Sensor Networks

“…Bober and Bleakley proposed BailighPulse, an energy efficient data gathering protocol for mostly-off WSN applications [9]. BailighPulse incorporates a novel multihop wake-up scheme that allows for energy efficient recovery of network synchronization after long off periods.…”

Energy Efficient Data Transmission Control using Adaptive Duty Cycle Terminology in a Real Time Sensor Application

“…2). WSN functions [10][5] leads into four different states such as, Initialization, Wake-Up, Collection, and Inactive, based on this information, it dynamically changes its sleep and wake up time. [4] [6] Increase of network life time is done by using mostly off duty cycle algorithm.…”