Open AccessWavelet Sampling Algorithm for Environmental Monitoring and Management Based on the Internet of Things
Author(s) -
Gengyi Xiao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1865/4/042081
Subject(s) - computer science , real time computing , wavelet , sampling (signal processing) , environmental monitoring , wireless sensor network , data mining , reliability (semiconductor) , energy consumption , construct (python library) , data collection , set (abstract data type) , algorithm , artificial intelligence , telecommunications , computer network , engineering , power (physics) , statistics , physics , electrical engineering , mathematics , quantum mechanics , environmental engineering , detector , programming language
Aiming at the problem of ecological environment monitoring, the paper proposes an IoT technology for ecological environment monitoring based on wavelet sampling algorithm and multi-sensor network platform. This technology divides the monitoring area into several different clusters, each cluster collects and collects various types of environmental monitoring data, and different types of sensors such as temperature, humidity, noise sensors, etc. can be set according to the monitoring needs; Set up mobile Agent nodes in the monitoring area, establish a real-time two-dimensional positioning table based on network energy consumption, use wavelet sampling algorithm projection method to select the optimal path, construct a mobile plan, collect the collected data and forward it to the control centre. Simulation experiments and mathematical analysis show that the technology has real-time and reliability for remote data collection and transmission for environmental monitoring, and the overall network energy consumption is low.