Title: Energy efficient data gathering for WSN-based context-aware applications
Authors: Meng-Shiuan Pan; Lei Jing
Addresses: Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 251, Taiwan ' School of Computer Science and Engineering, University of Aizu Fukushima 965-8580, Japan
Abstract: To save power, many previous works propose to use wake-up scheduling to support energy efficient data gathering in wireless sensor networks (WSNs). However, these works can only work well for regular data patterns. In many WSN-based context-aware applications, the network may randomly have some events, which may be urgent alarms or instant signals. Assume that the time is divided into fixed-length slots, and n consecutive slots are grouped as a frame. We propose a new wake up and sleep model for nodes such that nodes only wake up in some slot periodically. In this work, we design a two-phase scheme to support both regular and event data reporting, and the goal is to minimise regular report, event detection, and event reporting latencies. In the designed scheme, the first phase assigns each node one regular slot and several event slots by considering how to reduce above three kinds of latencies. In the second phase, nodes operate in a distributed manner to sense and report regular or event data. Simulation results show that our designs can indeed achieve our goal.
Keywords: data reporting; graph theory; scheduling; context-aware application; WSN; wireless sensor network.
International Journal of Ad Hoc and Ubiquitous Computing, 2017 Vol.25 No.1/2, pp.65 - 74
Received: 21 May 2015
Accepted: 29 Feb 2016
Published online: 08 Apr 2017 *