Mobile platform sampling for designing environmental sensor networks

Autor:	Ferry Susanto, Setia Budi, Paul Turner, Greg Timms, Paulo de Souza, Vishv Malhotra
Rok vydání:	2017
Předmět:	Environmental sensor 010504 meteorology & atmospheric sciences Computer science Ecology (disciplines) Real-time computing Evolutionary algorithm Sampling (statistics) 020206 networking & telecommunications 02 engineering and technology General Medicine Management Monitoring Policy and Law 01 natural sciences Pollution Tasmania Multivariate interpolation Data sampling Software deployment Environmental monitoring 0202 electrical engineering electronic engineering information engineering Algorithms 0105 earth and related environmental sciences General Environmental Science Environmental Monitoring
Zdroj:	Environmental monitoring and assessment. 190(3)
ISSN:	1573-2959
Popis:	This paper proposes a method to design the deployment of sensor nodes in a new region where historical data is not available. A number of mobile platforms are simulated to build initial knowledge of the region. Further, an evolutionary algorithm is employed to find the optimum placement of a given number of sensor nodes that best represents the region of interest.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d0cad6bae54259a3798bf90576215b4 https://pubmed.ncbi.nlm.nih.gov/29427226 Zobrazit plný text záznamu Full text from SpringerLink