Next Article in Journal
Surface Acoustic Wave (SAW) Resonators for Monitoring Conditioning Film Formation
Next Article in Special Issue
User Activity Recognition in Smart Homes Using Pattern Clustering Applied to Temporal ANN Algorithm
Previous Article in Journal
Electronic Properties of DNA-Based Schottky Barrier Diodes in Response to Alpha Particles
Previous Article in Special Issue
Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data
Article Menu

Export Article

Open AccessArticle

Branch-Based Centralized Data Collection for Smart Grids Using Wireless Sensor Networks

UGS Convergence Research Department, ETRI, 208 Gajeong-ro Yuseong-gu, Daejeon 305-700, Korea
Department of Computer Engineering, Chungnam National University, 99 Daehak-ro Yuseong-gu, Daejeon 305-764, Korea
Author to whom correspondence should be addressed.
Sensors 2015, 15(5), 11854-11872;
Received: 24 February 2015 / Revised: 14 May 2015 / Accepted: 18 May 2015 / Published: 21 May 2015
(This article belongs to the Special Issue Sensors and Smart Cities)
PDF [1168 KB, uploaded 21 May 2015]


A smart grid is one of the most important applications in smart cities. In a smart grid, a smart meter acts as a sensor node in a sensor network, and a central device collects power usage from every smart meter. This paper focuses on a centralized data collection problem of how to collect every power usage from every meter without collisions in an environment in which the time synchronization among smart meters is not guaranteed. To solve the problem, we divide a tree that a sensor network constructs into several branches. A conflict-free query schedule is generated based on the branches. Each power usage is collected according to the schedule. The proposed method has important features: shortening query processing time and avoiding collisions between a query and query responses. We evaluate this method using the ns-2 simulator. The experimental results show that this method can achieve both collision avoidance and fast query processing at the same time. The success rate of data collection at a sink node executing this method is 100%. Its running time is about 35 percent faster than that of the round-robin method, and its memory size is reduced to about 10% of that of the depth-first search method. View Full-Text
Keywords: smart grid; data collection; wireless sensor network; collision avoidance smart grid; data collection; wireless sensor network; collision avoidance
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 (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Kim, K.; Jin, S.-I. Branch-Based Centralized Data Collection for Smart Grids Using Wireless Sensor Networks. Sensors 2015, 15, 11854-11872.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top