Link Scheduling in Rechargeable Wireless Sensor Networks with Limited Harvested Energy
To date, rechargeable Wireless Sensor Networks are of great interest because sensor nodes are able to harvest energy from their environment, e.g., solar and wind, and store the harvested energy in rechargeable batteries. In this thesis, we design three greedy heuristic algorithms, i.e., LS-rWSN, LSB...
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| Format: | Thesis |
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Curtin University
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/85547 |
| _version_ | 1848764743837286400 |
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| author | Tony |
| author_facet | Tony |
| author_sort | Tony |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | To date, rechargeable Wireless Sensor Networks are of great interest because sensor nodes are able to harvest energy from their environment, e.g., solar and wind, and store the harvested energy in rechargeable batteries. In this thesis, we design three greedy heuristic algorithms, i.e., LS-rWSN, LSBCC, and LSDBS, to solve three proposed link scheduling problems in rWSNs, i.e., LSHUS, LSME-1, and LSME-2. Simulations on arbitrary networks show the merits and effectiveness of the proposed solutions. |
| first_indexed | 2025-11-14T11:24:13Z |
| format | Thesis |
| id | curtin-20.500.11937-85547 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:24:13Z |
| publishDate | 2021 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-855472021-09-13T06:54:51Z Link Scheduling in Rechargeable Wireless Sensor Networks with Limited Harvested Energy Tony To date, rechargeable Wireless Sensor Networks are of great interest because sensor nodes are able to harvest energy from their environment, e.g., solar and wind, and store the harvested energy in rechargeable batteries. In this thesis, we design three greedy heuristic algorithms, i.e., LS-rWSN, LSBCC, and LSDBS, to solve three proposed link scheduling problems in rWSNs, i.e., LSHUS, LSME-1, and LSME-2. Simulations on arbitrary networks show the merits and effectiveness of the proposed solutions. 2021 Thesis http://hdl.handle.net/20.500.11937/85547 Curtin University fulltext |
| spellingShingle | Tony Link Scheduling in Rechargeable Wireless Sensor Networks with Limited Harvested Energy |
| title | Link Scheduling in Rechargeable Wireless Sensor
Networks with Limited Harvested Energy |
| title_full | Link Scheduling in Rechargeable Wireless Sensor
Networks with Limited Harvested Energy |
| title_fullStr | Link Scheduling in Rechargeable Wireless Sensor
Networks with Limited Harvested Energy |
| title_full_unstemmed | Link Scheduling in Rechargeable Wireless Sensor
Networks with Limited Harvested Energy |
| title_short | Link Scheduling in Rechargeable Wireless Sensor
Networks with Limited Harvested Energy |
| title_sort | link scheduling in rechargeable wireless sensor
networks with limited harvested energy |
| url | http://hdl.handle.net/20.500.11937/85547 |