Energy and Age-Aware MAC for Low-Power Massive IoT
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916610332164096 |
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| author | Giannini, Ophelia de Jesus, Gabriel Martins Verdone, Roberto López, Onel Alcaraz |
| author_facet | Giannini, Ophelia de Jesus, Gabriel Martins Verdone, Roberto López, Onel Alcaraz |
| contents | Efficient multiple access remains a key challenge for emerging Internet of Things (IoT) networks comprising a large set of devices with sporadic activation, thus motivating significant research in the last few years. In this paper, we consider a network wherein IoT sensors capable of energy harvesting (EH) send updates to a central server to monitor the status of the environment or machinery in which they are located. We develop energy-aware ALOHA-like multiple access schemes for such a scenario using the Age of Information (AoI) metric to quantify the freshness of an information packet. The goal is to minimize the average AoI across the entire system while adhering to energy constraints imposed by the EH process. Simulation results show that applying the designed multiple access scheme improves performance from 24% up to 90% compared to previously proposed age-dependent protocols by ensuring low average AoI and achieving scalability while simultaneously complying with the energy constraints considered. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2502_08344 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Energy and Age-Aware MAC for Low-Power Massive IoT Giannini, Ophelia de Jesus, Gabriel Martins Verdone, Roberto López, Onel Alcaraz Information Theory Efficient multiple access remains a key challenge for emerging Internet of Things (IoT) networks comprising a large set of devices with sporadic activation, thus motivating significant research in the last few years. In this paper, we consider a network wherein IoT sensors capable of energy harvesting (EH) send updates to a central server to monitor the status of the environment or machinery in which they are located. We develop energy-aware ALOHA-like multiple access schemes for such a scenario using the Age of Information (AoI) metric to quantify the freshness of an information packet. The goal is to minimize the average AoI across the entire system while adhering to energy constraints imposed by the EH process. Simulation results show that applying the designed multiple access scheme improves performance from 24% up to 90% compared to previously proposed age-dependent protocols by ensuring low average AoI and achieving scalability while simultaneously complying with the energy constraints considered. |
| title | Energy and Age-Aware MAC for Low-Power Massive IoT |
| topic | Information Theory |
| url | https://arxiv.org/abs/2502.08344 |