Environmental Perception Q-Learning to Prolong the Lifetime of Poultry Farm Monitoring Networks

Clicks: 34
ID: 278429
2021
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
The reduction of the effects of heat-stress phenomena on poultry health and energy conservation of poultry farm monitoring networks are highly related problems. To address these problems, we propose environmental perception Q-learning (EPQL) to prolong the lifetime of poultry farm monitoring networks. EPQL consists of an environmental-perception module and Q-learning. According to the temperature and humidity model of heat stress, an environmental-perception module determines the transmission rate, while Q-learning adjusts the transmission rate according to the success rate of packet transmission and the remaining energy. In real-world tests, our poultry farm monitoring networks used only about 8% of energy in a month. The real-time information of these monitoring networks was available on smartphones. In laboratory tests, compared with CSMA/CA (23.67 days), S-MAC (109.37 days), and T-MAC (252.79 days) under real systems with 2000 mAh battery, the battery-life performance of EPQL (436.48 days) was better. Moreover, EPQL reduces the packet loss rate by about 60% while simultaneously decreasing the average delay by about 20%. Generally, based on the framework of EPQL, the implemented temperature and humidity model of heat stress for poultry could be replaced by other models to extend its applicability range.
Reference Key
wu2021environmentalelectronics Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wu, Zike;Pan, Pan;Liu, Jieqiang;Shi, Beibei;Yan, Ming;Zhang, Hongguang;
Journal Electronics
Year 2021
DOI
DOI not found
URL
https://www.mdpi.com/2079-9292/10/23/3024
Keywords
chemistry Ecology microscopy Biology (General) Medicine Engineering (General). Civil engineering (General) Technology Electrical engineering. Electronics. Nuclear engineering Descriptive and experimental mechanics Science physics neurology. diseases of the nervous system neoplasms. tumors. oncology. including cancer and carcinogens electronics diseases of the genitourinary system. urology

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.