z-logo
open-access-imgOpen Access
Agricultural monitoring system based on ant colony algorithm with centre data aggregation
Author(s) -
Sung WenTsai,
Chung HungYuan,
Chang KuoYi
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2013.0995
Subject(s) - computer science , agriculture , ant colony optimization algorithms , formicoidea , ant , ant colony , data aggregator , artificial intelligence , ecology , computer network , wireless sensor network , biology , aculeata , hymenoptera
This paper proposed environmental parameters are collected by use of outdoor ZigBee based weather stations as a prerequisite for the optimisation of plant growth. In most cases, all the sensors required are integrated into a weather station, due to which merely a single monitoring node is employed following data aggregation. An energy efficient center data aggregation algorithm, where an ant colony algorithm is applied to the construction of a level gradient field, is presented as an effective way to extend the life cycles of sensor nodes. A weather station and a ZigBee module both are portable and easy to install battery operated devices. Furthermore, a remote web‐based human machine interface (HMI) is developed by InduSof on a server, and has an access to a database. This proposed algorithm is confirmed by computer simulations as an effective approach to remarkably extend the life cycles of sensor nodes. This work can be applied not merely to traditional outdoor large scale farming, but also to small scale indoor plantation, e.g. in a green house, a plant factory, etc., and applied to the field of conservation ecology.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom