Next Article in Journal
Throughput Maximization for Sensor-Aided Cognitive Radio Networks with Continuous Energy Arrivals
Previous Article in Journal
UAVs Task and Motion Planning in the Presence of Obstacles and Prioritized Targets
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(12), 29765-29781; doi:10.3390/s151229765

Optimisation in the Design of Environmental Sensor Networks with Robustness Consideration

1
School of Engineering and ICT, University of Tasmania, Private Bag 87, Hobart, TAS 7001, Australia
2
Commonwealth Scientific and Industrial Research Organisation, 15 College Road, Sandy Bay, TAS 7005, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 25 October 2015 / Revised: 16 November 2015 / Accepted: 18 November 2015 / Published: 27 November 2015
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [1621 KB, uploaded 27 November 2015]   |  

Abstract

This work proposes the design of Environmental Sensor Networks (ESN) through balancing robustness and redundancy. An Evolutionary Algorithm (EA) is employed to find the optimal placement of sensor nodes in the Region of Interest (RoI). Data quality issues are introduced to simulate their impact on the performance of the ESN. Spatial Regression Test (SRT) is also utilised to promote robustness in data quality of the designed ESN. The proposed method provides high network representativeness (fit for purpose) with minimum sensor redundancy (cost), and ensures robustness by enabling the network to continue to achieve its objectives when some sensors fail. View Full-Text
Keywords: environmental sensor networks; sensor networks design; sensor networks deployment; optimisation; evolutionary algorithm; spatial regression test; gap filling; noise detection; data quality environmental sensor networks; sensor networks design; sensor networks deployment; optimisation; evolutionary algorithm; spatial regression test; gap filling; noise detection; data quality
Figures

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Budi, S.; de Souza, P.; Timms, G.; Malhotra, V.; Turner, P. Optimisation in the Design of Environmental Sensor Networks with Robustness Consideration. Sensors 2015, 15, 29765-29781.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

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