Energy-Aware Resource Allocation for Energy Harvesting Powered Wireless Sensor Nodes
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916562759319552 |
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| author | Ngo, Ngoc M. Nguyen, Trung T. Nguyen, Phuc H. Nguyen, Van-Dinh |
| author_facet | Ngo, Ngoc M. Nguyen, Trung T. Nguyen, Phuc H. Nguyen, Van-Dinh |
| contents | Low harvested energy poses a significant challenge to sustaining continuous communication in energy harvesting (EH)-powered wireless sensor networks. This is mainly due to intermittent and limited power availability from radio frequency signals. In this paper, we introduce a novel energy-aware resource allocation problem aimed at enabling the asynchronous accumulate-then-transmit protocol, offering an alternative to the extensively studied harvest-then-transmit approach. Specifically, we jointly optimize power allocation and time fraction dedicated to EH to maximize the average long-term system throughput, accounting for both data and energy queue lengths. By leveraging inner approximation and network utility maximization techniques, we develop a simple yet efficient iterative algorithm that guarantees at least a local optimum and achieves long-term utility improvement. Numerical results highlight the proposed approach's effectiveness in terms of both queue length and sustained system throughput. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_06545 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Energy-Aware Resource Allocation for Energy Harvesting Powered Wireless Sensor Nodes Ngo, Ngoc M. Nguyen, Trung T. Nguyen, Phuc H. Nguyen, Van-Dinh Information Theory Signal Processing Low harvested energy poses a significant challenge to sustaining continuous communication in energy harvesting (EH)-powered wireless sensor networks. This is mainly due to intermittent and limited power availability from radio frequency signals. In this paper, we introduce a novel energy-aware resource allocation problem aimed at enabling the asynchronous accumulate-then-transmit protocol, offering an alternative to the extensively studied harvest-then-transmit approach. Specifically, we jointly optimize power allocation and time fraction dedicated to EH to maximize the average long-term system throughput, accounting for both data and energy queue lengths. By leveraging inner approximation and network utility maximization techniques, we develop a simple yet efficient iterative algorithm that guarantees at least a local optimum and achieves long-term utility improvement. Numerical results highlight the proposed approach's effectiveness in terms of both queue length and sustained system throughput. |
| title | Energy-Aware Resource Allocation for Energy Harvesting Powered Wireless Sensor Nodes |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2501.06545 |