ZEN-MAC: Zero Excess Node MAC for Multihop Sensor Networks With Energy Harvesting

The conventional receiver-initiated MAC (RI-MAC) protocol employed in energy-harvesting wireless sensor networks (WSNs) mandates a specific listening duration to identify communication partners, which consequently increases power consumption and impedes the development of ultralow-energy WSNs. To address these limitations, the novel zero excess node MAC (ZEN-MAC) protocol is introduced. This protocol strategically reduces idle listening time, which dominates the networks power consumption, through the implementation of low-power listening with multi-stage beacons and clear channel assessment. It further optimizes intermittent intervals based on the estimated power consumption of the network to enable distributed load control. These enhancements significantly reduce power consumption and help prevent node battery depletion, thereby improving both the reliability and efficiency of WSNs.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-05-09
DOI
https://doi.org/10.1109/jiot.2025.3564897
Citations
4
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
5.95
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article

ZEN-MAC: Zero Excess Node MAC for Multihop Sensor Networks With Energy Harvesting

Tatsuhiro Kawaguchi, Koji Ishibashi
4 citations
IEEE Internet of Things Journal
Energy Efficient Wireless Sensor Networks
5.95
article

ZEN-MAC: Zero Excess Node MAC for Multihop Sensor Networks With Energy Harvesting

Tatsuhiro Kawaguchi, Koji Ishibashi
article en
4 citations

Abstract

The conventional receiver-initiated MAC (RI-MAC) protocol employed in energy-harvesting wireless sensor networks (WSNs) mandates a specific listening duration to identify communication partners, which consequently increases power consumption and impedes the development of ultralow-energy WSNs. To address these limitations, the novel zero excess node MAC (ZEN-MAC) protocol is introduced. This protocol strategically reduces idle listening time, which dominates the networks power consumption, through the implementation of low-power listening with multi-stage beacons and clear channel assessment. It further optimizes intermittent intervals based on the estimated power consumption of the network to enable distributed load control. These enhancements significantly reduce power consumption and help prevent node battery depletion, thereby improving both the reliability and efficiency of WSNs.

IEEE Internet of Things JournalVol. 12(14)
University of Electro-Communications (JP)
Affordable and clean energy
Openalex Percentile: Top 4%
Energy Efficient Wireless Sensor Networks
5.95
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