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Journal of Sensors
Volume 2017, Article ID 1603713, 9 pages
https://doi.org/10.1155/2017/1603713
Research Article

QoI-Aware DODAG Construction in RPL-Based Event Detection Wireless Sensor Networks

1Department of Communication Engineering, Jilin University, Nanhu Campus, Nanhu Road, Changchun, Jilin Province, China
2Department of Information Engineering, Northeast Dianli University, Changchun Road, Chuanying District, Jilin City, Jilin Province, China

Correspondence should be addressed to Zhihong Qian; moc.361@hzq.rd

Received 1 November 2016; Accepted 20 December 2016; Published 9 March 2017

Academic Editor: Houbing Song

Copyright © 2017 Hongliang Tian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

LLNs are gradually attracting people’s attention for the feature of low energy consumption. RPL is specifically designed for LLNs to construct a high energy efficiency network topology. In the noisy environment, the packet loss rate of RPL-based WSN increases during data transmission. The DODAG constructed by RPL-based WSN increases in depth when communication is affected by noise. In this situation the data transmission in the network will consume more energy. In event detection WSNs, the appropriate network topology enables root to use less sensor data to fuse enough information to determine whether or not an event has occurred. In this paper, we will improve RPL in two ways to optimize topology and reduce energy consumption. The neighbor list and the information of DIO sender’s parent of a node are used to construct a better DODAG in the noisy environment. SPRT and the quality of information of the data are used in the event detecting process for saving energy consumption. Simulation results show that, compared with the original RPL, QoI-aware RPL can reduce the energy consumption by collecting the same quality of information with less data transmission.