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Duty Cycle Optimizing for WiFi-based IoT Networks with Energy Harvesting

Published: 05 January 2018 Publication History

Abstract

In this paper, we propose a simple method to optimize the duty-cycle of an IoT network equipped with energy harvesters. The main objective is to achieve Energy Neutral Operation (ENO) so that the devices can operate autonomously for longer periods. We use an exponentially weighted moving-average (EWMA) filter to predict the energy harvested in a single duty-cycle, and adjust the duty-cycle according to the energy required during the active periods. As a case study, we consider the use of the carrier sensing medium access (CSMA) Medium Access Control (MAC) protocol in a data collection application where a WiFi access point investigates a group of IoT devices equipped with energy harvesting circuit. We evaluate the performance of the proposed scheme with the help of simulations. The results show that an optimal configuration of the prediction filter can help to reach the ENO condition and ensure the unlimited lifetime of the network.

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Cited By

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  • (2024)Customizable and adaptable middleware of thingsInternational Journal of Communication Systems10.1002/dac.588737:15Online publication date: 27-Jun-2024
  • (2023)Energy Prediction for Energy-Harvesting Wireless Sensor: A Systematic Mapping StudyElectronics10.3390/electronics1220430412:20(4304)Online publication date: 18-Oct-2023
  • (2023)An Adaptive Energy Saving Mechanism for Middleware of Things2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.23919/SoftCOM58365.2023.10271577(1-6)Online publication date: 21-Sep-2023
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  1. Duty Cycle Optimizing for WiFi-based IoT Networks with Energy Harvesting

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      cover image ACM Other conferences
      IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication
      January 2018
      628 pages
      ISBN:9781450363853
      DOI:10.1145/3164541
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 05 January 2018

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      Author Tags

      1. Duty cycle
      2. Energy Harvesting
      3. WiFi Networks

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      • Refereed limited

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      IMCOM '18

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      IMCOM '18 Paper Acceptance Rate 100 of 255 submissions, 39%;
      Overall Acceptance Rate 213 of 621 submissions, 34%

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      Cited By

      View all
      • (2024)Customizable and adaptable middleware of thingsInternational Journal of Communication Systems10.1002/dac.588737:15Online publication date: 27-Jun-2024
      • (2023)Energy Prediction for Energy-Harvesting Wireless Sensor: A Systematic Mapping StudyElectronics10.3390/electronics1220430412:20(4304)Online publication date: 18-Oct-2023
      • (2023)An Adaptive Energy Saving Mechanism for Middleware of Things2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.23919/SoftCOM58365.2023.10271577(1-6)Online publication date: 21-Sep-2023
      • (2022)Duty-Cycling Techniques in IoT: Energy-Efficiency PerspectiveRecent Innovations in Computing10.1007/978-981-16-8248-3_42(505-512)Online publication date: 10-Mar-2022
      • (2021)Recent advances in energy management for Green-IoT: An up-to-date and comprehensive surveyJournal of Network and Computer Applications10.1016/j.jnca.2021.103257(103257)Online publication date: Nov-2021

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