Share
Export Citation
Duty-Cycle Optimization Method for Improving Battery-Powered DC Sensor Node Lifetime in Wireless Sensor Networks
Sopian Y.
2023 International Seminar on Intelligent Technology and Its Applications Leveraging Intelligent Systems to Achieve Sustainable Development Goals Isitia 2023 Proceeding
Abstract
This paper presents a simple new idea to design a duty cycle optimization algorithm to improve the lifetime of battery-powered DC sensor node. This algorithm is named “Wireless Switching Interface Duty Cycle optimization (WSIDO) method”. The W-SIDO algorithm is easy to implement on microcontroller. The algorithm consumes only 4 Kbytes of memory, or 12.5% of the total 32 Kbytes of memory slots available on the microcontroller. The W-SIDO comparison application was tested for duty-cycle control on three DC sensors with types PZEM-017, INA-219, and VD+ACS712. The test results provide valuable information where duty-cycle optimization with a period of 1 second can increase efficiency compared to no duty-cycle optimization for PZEM-017 by 189%, for INA-219 by 1045%, and for VD+ACS712 by 116%, while duty-cycle optimization with a period of 1 minute can increase efficiency for PZEM-017 by 1952%, for INA-219 by 8441%, and for VD+ACS712 by 574%. The results of the accuracy prediction analysis of the data set test results with linear regression obtained information where PZEM-017 has an accuracy rate of 95.87%, INA-219 has an accuracy rate of 97.4S%, and VD+ACS712 has an accuracy rate of 9S.47%.