Next Article in Journal
Conditional Random Field-Based Offline Map Matching for Indoor Environments
Next Article in Special Issue
A Sensor Fusion Method Based on an Integrated Neural Network and Kalman Filter for Vehicle Roll Angle Estimation
Previous Article in Journal
An Anonymous User Authentication and Key Agreement Scheme Based on a Symmetric Cryptosystem in Wireless Sensor Networks
Previous Article in Special Issue
The Positioning Accuracy of BAUV Using Fusion of Data from USBL System and Movement Parameters Measurements
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(8), 1300;

A Matrix-Based Proactive Data Relay Algorithm for Large Distributed Sensor Networks

School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Author to whom correspondence should be addressed.
Academic Editor: Xue-Bo Jin
Received: 21 June 2016 / Revised: 1 August 2016 / Accepted: 2 August 2016 / Published: 16 August 2016
(This article belongs to the Special Issue Advances in Multi-Sensor Information Fusion: Theory and Applications)
Full-Text   |   PDF [2160 KB, uploaded 16 August 2016]   |  


In large-scale distributed sensor networks, sensed data is required to be relayed around the network so that one or few sensors can gather adequate relative data to produce high quality information for decision-making. In regards to very high energy-constraint sensor nodes, data transmission should be extremely economical. However, traditional data delivery protocols are potentially inefficient relaying unpredictable sensor readings for data fusion in large distributed networks for either overwhelming query transmissions or unnecessary data coverage. By building sensors’ local model from their previously transmitted data in three matrixes, we have developed a novel energy-saving data relay algorithm, which allows sensors to proactively make broadcast decisions by using a neat matrix computation to provide balance between transmission and energy-saving. In addition, we designed a heuristic maintenance algorithm to efficiently update these three matrices. This can easily be deployed to large-scale mobile networks in which decisions of sensors are based on their local matrix models no matter how large the network is, and the local models of these sensors are updated constantly. Compared with some traditional approaches based on our simulations, the efficiency of this approach is manifested in uncertain environment. The results show that our approach is scalable and can effectively balance aggregating data with minimizing energy consumption. View Full-Text
Keywords: proactive data relay; information fusion; large distributed sensor networks; matrix-based computing proactive data relay; information fusion; large distributed sensor networks; matrix-based computing

Figure 1

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

Xu, Y.; Hu, X.; Hu, H.; Liu, M. A Matrix-Based Proactive Data Relay Algorithm for Large Distributed Sensor Networks. Sensors 2016, 16, 1300.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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