Energy-aware data compression and transmission range control for energy-harvesting wireless sensor networks
Energy-harvesting nodes are now being employed in wireless sensor networks to extend the lifetime of the network by harvesting energy from the surrounding environments. However, unpremeditated energy consumption can incur energy problems, such as the blackout of nodes (due to their exceeding energy...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Hindawi - SAGE Publishing
2017-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717705785 |
| _version_ | 1797719583570788352 |
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| author | Jun Min Yi Eom Ji Oh Dong Kun Noh Ikjune Yoon |
| author_facet | Jun Min Yi Eom Ji Oh Dong Kun Noh Ikjune Yoon |
| author_sort | Jun Min Yi |
| collection | DOAJ |
| description | Energy-harvesting nodes are now being employed in wireless sensor networks to extend the lifetime of the network by harvesting energy from the surrounding environments. However, unpremeditated energy consumption can incur energy problems, such as the blackout of nodes (due to their exceeding energy consumption over the amount of harvested energy) or inevitable disposal of harvested energy (in excess of the battery capacity). In this article, we propose an adaptive data compression and transmission range extension scheme that minimizes the blackout of sensor nodes and increases the amount of data collected at the sink node using the harvested energy efficiently. In this scheme, each node estimates the amount of harvested and consumed energy. When it determines that its remaining energy will exceed its storage capacity, it exploits the energy to compress the data or increase the transmission range. At this point, of the two methods, the method that can more effectively increase the network performance can be selected. The results of experiments conducted indicate that the proposed scheme significantly reduces the extent of node blackouts and increases the data collection rate of the sink node. |
| first_indexed | 2024-03-12T09:07:05Z |
| format | Article |
| id | doaj.art-a5baff81a0594cc2919e9733442f95a9 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T09:07:05Z |
| publishDate | 2017-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-a5baff81a0594cc2919e9733442f95a92023-09-02T15:15:10ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772017-04-011310.1177/1550147717705785Energy-aware data compression and transmission range control for energy-harvesting wireless sensor networksJun Min Yi0Eom Ji Oh1Dong Kun Noh2Ikjune Yoon3Department of Software Convergence, Soongsil University, Seoul, South KoreaDepartment of Software Convergence, Soongsil University, Seoul, South KoreaDepartment of Software Convergence, Soongsil University, Seoul, South KoreaDepartment of Smart Systems Software, Soongsil University, Seoul, South KoreaEnergy-harvesting nodes are now being employed in wireless sensor networks to extend the lifetime of the network by harvesting energy from the surrounding environments. However, unpremeditated energy consumption can incur energy problems, such as the blackout of nodes (due to their exceeding energy consumption over the amount of harvested energy) or inevitable disposal of harvested energy (in excess of the battery capacity). In this article, we propose an adaptive data compression and transmission range extension scheme that minimizes the blackout of sensor nodes and increases the amount of data collected at the sink node using the harvested energy efficiently. In this scheme, each node estimates the amount of harvested and consumed energy. When it determines that its remaining energy will exceed its storage capacity, it exploits the energy to compress the data or increase the transmission range. At this point, of the two methods, the method that can more effectively increase the network performance can be selected. The results of experiments conducted indicate that the proposed scheme significantly reduces the extent of node blackouts and increases the data collection rate of the sink node.https://doi.org/10.1177/1550147717705785 |
| spellingShingle | Jun Min Yi Eom Ji Oh Dong Kun Noh Ikjune Yoon Energy-aware data compression and transmission range control for energy-harvesting wireless sensor networks International Journal of Distributed Sensor Networks |
| title | Energy-aware data compression and transmission range control for energy-harvesting wireless sensor networks |
| title_full | Energy-aware data compression and transmission range control for energy-harvesting wireless sensor networks |
| title_fullStr | Energy-aware data compression and transmission range control for energy-harvesting wireless sensor networks |
| title_full_unstemmed | Energy-aware data compression and transmission range control for energy-harvesting wireless sensor networks |
| title_short | Energy-aware data compression and transmission range control for energy-harvesting wireless sensor networks |
| title_sort | energy aware data compression and transmission range control for energy harvesting wireless sensor networks |
| url | https://doi.org/10.1177/1550147717705785 |
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