Dynamic Sleep Scheduling on Air Pollution Levels Monitoring with Wireless Sensor Network

  • Gezaq Abror Politeknik Elektronika Negeri Surabaya
  • Rusminto Tjatur Widodo Politeknik Elektronika Negeri Surabaya
  • M. Udin Harun Al Rasyid Politeknik Elektronika Negeri Surabaya
Keywords: Wireless Sensor Network, dynamic sleep scheduling, energy efficiency, air pollution monitoring

Abstract

Wireless Sensor Network (WSN) can be applied for Air Pollution Level Monitoring System that have been determined by the Environmental Impact Management Agency which is  PM10, SO2, O3, NO2 and CO. In WSN, node system is constrained to a limited power supply, so that the node system has a lifetime. To doing lifetime maximization, power management scheme is required and sensor nodes should use energy efficiently. This paper proposes dynamic sleep scheduling using Time Category-Fuzzy Logic (Time-Fuzzy) Scheduling as a reference for calculating time interval for sleep and activated node system to support power management scheme. This research contributed in power management design to be applied to the WSN system to reduce energy expenditure. From the test result in real hardware node system, it can be seen that Time-Fuzzy Scheduling is better in terms of using the battery and it is better in terms of energy consumption too because it is more efficient 51.85% when it is compared with Fuzzy Scheduling, it is more efficient 68.81% when it is compared with Standard Scheduling and it is more efficient 85.03% when compared with No Scheduling.

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Author Biographies

Gezaq Abror, Politeknik Elektronika Negeri Surabaya
Electrical Engineering Department
Rusminto Tjatur Widodo, Politeknik Elektronika Negeri Surabaya
Electrical Engineering Department
M. Udin Harun Al Rasyid, Politeknik Elektronika Negeri Surabaya
Informatics Engineering Department

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Published
2018-01-13
How to Cite
Abror, G., Widodo, R. T., & Al Rasyid, M. U. H. (2018). Dynamic Sleep Scheduling on Air Pollution Levels Monitoring with Wireless Sensor Network. EMITTER International Journal of Engineering Technology, 5(2), 209-233. https://doi.org/10.24003/emitter.v5i2.185
Section
Articles