Particle Swarm Optimization Based Placement of Data Acquisition Points in a Smart Water Metering Network

Author:

Nyirenda Clement N.,Makwara Pascal,Shitumbapo Linda

Publisher

Springer International Publishing

Reference16 articles.

1. Malcolm, F., Gary, W., Zainuddin, G.: The Manager’s Non-revenue Water Handbook. USAID, Washington, DC (2008)

2. KPMG International: Sustainable insight-Water scarcity: a dive into global reporting trends. KPMG (2012)

3. Cardell-Oliver, R., Peach, G.: Making sense of smart metering data: a data mining approach for discovering water use patterns. J. Aust. Water Assoc. 40(2), 124–128 (2013)

4. McNabb, J.: Vulnerabilities of wireless water meter networks. J.N. Engl. Water Works Assoc. 126(1), 31–37 (2012)

5. Sensus Research, WATER 20/20: Bringing smart water network into focus. Sensus, North American Headquarters (2012)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the Efficacy of Particle Swarm Optimization for Gateway Placement in LoRaWAN Networks;Swarm Intelligence [Working Title];2021-07-01

2. Binary Search Based PSO for Master Node Enumeration and Placement in a Smart Water Metering Network;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2020

3. Optimal layout of pressure monitoring points in water supply network based on Optics;E3S Web of Conferences;2019

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