Hierarchical energy-saving routing algorithm using fuzzy logic in wireless sensor networks
Abstract Currently, sensor energy assembly in wireless sensor networks is limited, and clustering methods are not effective to improve sensor energy consumption rate. Thus, a hierarchical energy-saving routing algorithm based on fuzzy logic was constructed by considering three aspects: residual ener...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-10-01
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| Series: | EURASIP Journal on Information Security |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13635-023-00144-1 |
| _version_ | 1797451866096795648 |
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| author | Dan Wang Qing Wu Ming Hu |
| author_facet | Dan Wang Qing Wu Ming Hu |
| author_sort | Dan Wang |
| collection | DOAJ |
| description | Abstract Currently, sensor energy assembly in wireless sensor networks is limited, and clustering methods are not effective to improve sensor energy consumption rate. Thus, a hierarchical energy-saving routing algorithm based on fuzzy logic was constructed by considering three aspects: residual energy value, centrality, and distance value between nodes and base stations. The remaining sensor nodes selected by fuzzy logic algorithm have a longer time to live and greater residual energy than those selected by low-power adaptive clustering hierarchical protocol algorithm, fuzzy unequal clustering algorithm, and fuzzy logic cluster head election algorithm. For network life cycle, the number of rounds in which the first dead node appears, in descending order, is studied: energy-saving routing algorithm (400 rounds) > new geographic cellular structure algorithm (300 rounds) > virtual grid based dynamic routes adjustment algorithm (100 rounds). Under the same experimental round, energy-saving routing algorithm’s remaining energy curve always reaches its maximum. The energy-saving routing algorithm by fuzzy logic constructed by this research institute can significantly improve network energy utilization, which has certain reference value. |
| first_indexed | 2024-03-09T14:59:38Z |
| format | Article |
| id | doaj.art-ff8c481c26204f75b5b7bdaf4c90da36 |
| institution | Directory Open Access Journal |
| issn | 2510-523X |
| language | English |
| last_indexed | 2024-03-09T14:59:38Z |
| publishDate | 2023-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Information Security |
| spelling | doaj.art-ff8c481c26204f75b5b7bdaf4c90da362023-11-26T13:59:19ZengSpringerOpenEURASIP Journal on Information Security2510-523X2023-10-012023111110.1186/s13635-023-00144-1Hierarchical energy-saving routing algorithm using fuzzy logic in wireless sensor networksDan Wang0Qing Wu1Ming Hu2State Grid Information & Telecommunication Group Co., Ltd.State Grid Information & Telecommunication Group Co., Ltd.State Grid Information & Telecommunication Group Co., Ltd.Abstract Currently, sensor energy assembly in wireless sensor networks is limited, and clustering methods are not effective to improve sensor energy consumption rate. Thus, a hierarchical energy-saving routing algorithm based on fuzzy logic was constructed by considering three aspects: residual energy value, centrality, and distance value between nodes and base stations. The remaining sensor nodes selected by fuzzy logic algorithm have a longer time to live and greater residual energy than those selected by low-power adaptive clustering hierarchical protocol algorithm, fuzzy unequal clustering algorithm, and fuzzy logic cluster head election algorithm. For network life cycle, the number of rounds in which the first dead node appears, in descending order, is studied: energy-saving routing algorithm (400 rounds) > new geographic cellular structure algorithm (300 rounds) > virtual grid based dynamic routes adjustment algorithm (100 rounds). Under the same experimental round, energy-saving routing algorithm’s remaining energy curve always reaches its maximum. The energy-saving routing algorithm by fuzzy logic constructed by this research institute can significantly improve network energy utilization, which has certain reference value.https://doi.org/10.1186/s13635-023-00144-1Wireless sensor networkFuzzy logic algorithmVirtual network technologyRemaining nodes numberNetwork energy consumption |
| spellingShingle | Dan Wang Qing Wu Ming Hu Hierarchical energy-saving routing algorithm using fuzzy logic in wireless sensor networks EURASIP Journal on Information Security Wireless sensor network Fuzzy logic algorithm Virtual network technology Remaining nodes number Network energy consumption |
| title | Hierarchical energy-saving routing algorithm using fuzzy logic in wireless sensor networks |
| title_full | Hierarchical energy-saving routing algorithm using fuzzy logic in wireless sensor networks |
| title_fullStr | Hierarchical energy-saving routing algorithm using fuzzy logic in wireless sensor networks |
| title_full_unstemmed | Hierarchical energy-saving routing algorithm using fuzzy logic in wireless sensor networks |
| title_short | Hierarchical energy-saving routing algorithm using fuzzy logic in wireless sensor networks |
| title_sort | hierarchical energy saving routing algorithm using fuzzy logic in wireless sensor networks |
| topic | Wireless sensor network Fuzzy logic algorithm Virtual network technology Remaining nodes number Network energy consumption |
| url | https://doi.org/10.1186/s13635-023-00144-1 |
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