[Retracted] Design and Implementation of Node of Wireless Network Environment Monitoring System Based on Artificial Intelligence
Author(s) -
Pinghui Zou,
Gaoqing Ji
Publication year - 2022
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2022/5911476
Subject(s) - computer science , wireless sensor network , software deployment , node (physics) , real time computing , wireless , grid , wireless network , key distribution in wireless sensor networks , sensor node , embedded system , distributed computing , computer network , telecommunications , operating system , mathematics , structural engineering , geometry , engineering
In order to effectively solve the problem of traditional environmental monitoring system due to high sensor cost, difficult deployment, and high maintenance cost, the node design and implementation of a wireless sensor network-based environmental monitoring system are proposed. Simulation experiments show that the time-consuming running time is 14.210361 s. After adding the action force of the grid point on the node, the running time is 11.257740 s, and the operation efficiency of the algorithm is significantly improved. The improved virtual force algorithm optimization improved node coverage by 5.2%.The system is easy to deploy, reduces the development and maintenance cost, and can obtain data or monitor through wireless communication. It is convenient to use and maintain.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom