TY - GEN
T1 - Novel numerical and computational techniques for remote sensor based monitoring of freshwater quality
AU - Zhu, Xiaohui
AU - Yue, Yong
AU - Wong, Prudence
AU - Zhang, Yixin
AU - Meng, Jia
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/17
Y1 - 2016/9/17
N2 - Freshwater protection is one of the key issues for environment protection. In this paper we propose novel techniques to remotely monitor freshwater quality in river system using wireless sensor networks (WSNs). In order to maximize the performance in water quality monitoring with minimum amount of sensor nodes, we have studied optimal sensor deployment algorithm based on graph theory, genetic algorithm (GA) and storm water management model (SWMM). We have also proposed algorithms to automatically detect and locate the pollution and predict the subsequent reaches which will be polluted. For overcoming the power supply limitation of WSNs, both wind and solar power devices are used as a long-term energy source for sensor nodes.
AB - Freshwater protection is one of the key issues for environment protection. In this paper we propose novel techniques to remotely monitor freshwater quality in river system using wireless sensor networks (WSNs). In order to maximize the performance in water quality monitoring with minimum amount of sensor nodes, we have studied optimal sensor deployment algorithm based on graph theory, genetic algorithm (GA) and storm water management model (SWMM). We have also proposed algorithms to automatically detect and locate the pollution and predict the subsequent reaches which will be polluted. For overcoming the power supply limitation of WSNs, both wind and solar power devices are used as a long-term energy source for sensor nodes.
KW - graphy theory
KW - multi-objective optimal algorithms
KW - water quality monitoring
KW - wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84989162911&partnerID=8YFLogxK
U2 - 10.1109/ICOACS.2016.7563055
DO - 10.1109/ICOACS.2016.7563055
M3 - Conference Proceeding
AN - SCOPUS:84989162911
T3 - Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016
SP - 91
EP - 95
BT - Proceedings of 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016
A2 - Chen, Guorong
A2 - Peng, Jun
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference of Online Analysis and Computing Science, ICOACS 2016
Y2 - 28 May 2016 through 29 May 2016
ER -
