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Energy-Aware Activity Control for Wireless Sensing Infrastructure Using Periodic Communication and Mixed-Integer Programming

Author

Listed:
  • Piotr Arabas

    (Research and Academic Computer Network NASK—National Research Institute, Kolska 12, 01-045 Warsaw, Poland)

  • Andrzej Sikora

    (Research and Academic Computer Network NASK—National Research Institute, Kolska 12, 01-045 Warsaw, Poland)

  • Wojciech Szynkiewicz

    (Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland)

Abstract

This paper addresses the energy conservation problem in wireless sensor networks, in which sensor data are aggregated into packages and then transmitted periodically to the base station according to an established schedule. We formulate two mixed integer programming problems, first for minimum total energy usage and second for min-max per node energy usage. We present two algorithms for slot allocation that exploit the periodic nature of the data collection process by allocating a subset of nodes to subsequent frames. A mixed-integer solver solves the resulting mathematical programming task. The performed numerical experiments show that the proposed approach is appropriate for relatively small networks when minimizing the total energy consumption problem. Hopefully, the problem may be solved for medium size networks when a maximum node energy consumption performance index is used.

Suggested Citation

  • Piotr Arabas & Andrzej Sikora & Wojciech Szynkiewicz, 2021. "Energy-Aware Activity Control for Wireless Sensing Infrastructure Using Periodic Communication and Mixed-Integer Programming," Energies, MDPI, vol. 14(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4828-:d:610362
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    References listed on IDEAS

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    1. Carolina Del-Valle-Soto & Carlos Mex-Perera & Juan Arturo Nolazco-Flores & Ramiro Velázquez & Alberto Rossa-Sierra, 2020. "Wireless Sensor Network Energy Model and Its Use in the Optimization of Routing Protocols," Energies, MDPI, vol. 13(3), pages 1-33, February.
    2. Tanzila Saba & Khalid Haseeb & Ikram Ud Din & Ahmad Almogren & Ayman Altameem & Suliman Mohamed Fati, 2020. "EGCIR: Energy-Aware Graph Clustering and Intelligent Routing Using Supervised System in Wireless Sensor Networks," Energies, MDPI, vol. 13(16), pages 1-15, August.
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    Cited by:

    1. Piotr Arabas & Tomasz Jóźwik & Ewa Niewiadomska-Szynkiewicz, 2023. "Router Activation Heuristics for Energy-Saving ECMP and Valiant Routing in Data Center Networks," Energies, MDPI, vol. 16(10), pages 1-20, May.

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