Selfish Node Detection in Delay Tolerant Networks Using Fuzzy Logic
Delay Tolerant Networks (DTNs) are a type of Mobile Ad-Hoc Networks (MANETs) where nodes are mobile, resulting in the absence of an end-to-end path between the source and destination nodes. Due to frequent disruptions in communication links, nodes in DTNs rely on a store, carry, and forward pattern...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2024-12-01
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| Series: | Fuzzy Information and Engineering |
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| Online Access: | https://www.sciopen.com/article/10.26599/FIE.2024.9270046 |
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| author | Fahimeh Rashidjafari Nahideh Derakhshanfard Behrouz Shahrokhzadeh Ali Ghaffari |
| author_facet | Fahimeh Rashidjafari Nahideh Derakhshanfard Behrouz Shahrokhzadeh Ali Ghaffari |
| author_sort | Fahimeh Rashidjafari |
| collection | DOAJ |
| description | Delay Tolerant Networks (DTNs) are a type of Mobile Ad-Hoc Networks (MANETs) where nodes are mobile, resulting in the absence of an end-to-end path between the source and destination nodes. Due to frequent disruptions in communication links, nodes in DTNs rely on a store, carry, and forward pattern to transmit messages. This forwarding and carrying of messages is achieved through cooperation among relay nodes. However, certain nodes may exhibit selfish behavior by avoiding cooperation to conserve their own resources, such as buffer and energy. In this paper, we propose a method for detecting selfish nodes in DTNs based on fuzzy logic. The method considers parameters such as the number of packets sent and received by a node, centrality degree, and buffer capacity as fuzzy inputs. The fuzzy outputs categorize nodes as active, semi-selfish, or selfish, and appropriate treatment is applied based on these categories. Simulation results demonstrate that the proposed method enhances the delivery rate by 10% and reduces the average delay by 15% and hop count by 8% when compared to existing approaches. |
| format | Article |
| id | doaj-art-21c9ae3bc3f44abb96d9ff4e73b7263b |
| institution | Kabale University |
| issn | 1616-8658 1616-8666 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Fuzzy Information and Engineering |
| spelling | doaj-art-21c9ae3bc3f44abb96d9ff4e73b7263b2025-01-15T18:10:44ZengTsinghua University PressFuzzy Information and Engineering1616-86581616-86662024-12-0116428529910.26599/FIE.2024.9270046Selfish Node Detection in Delay Tolerant Networks Using Fuzzy LogicFahimeh Rashidjafari0Nahideh Derakhshanfard1Behrouz Shahrokhzadeh2Ali Ghaffari3Department of Computer Engineering and Information Technology, Qazvin Branch, Islamic Azad University, Qazvin 34199-15195, IranDepartment of Computer Engineering, Islamic Azad University, Tabriz Branch, Tabriz 5157944533, IranDepartment of Computer Engineering and Information Technology, Qazvin Branch, Islamic Azad University, Qazvin 34199-15195, IranDepartment of Computer Engineering, Islamic Azad University, Tabriz Branch, Tabriz 5157944533, IranDelay Tolerant Networks (DTNs) are a type of Mobile Ad-Hoc Networks (MANETs) where nodes are mobile, resulting in the absence of an end-to-end path between the source and destination nodes. Due to frequent disruptions in communication links, nodes in DTNs rely on a store, carry, and forward pattern to transmit messages. This forwarding and carrying of messages is achieved through cooperation among relay nodes. However, certain nodes may exhibit selfish behavior by avoiding cooperation to conserve their own resources, such as buffer and energy. In this paper, we propose a method for detecting selfish nodes in DTNs based on fuzzy logic. The method considers parameters such as the number of packets sent and received by a node, centrality degree, and buffer capacity as fuzzy inputs. The fuzzy outputs categorize nodes as active, semi-selfish, or selfish, and appropriate treatment is applied based on these categories. Simulation results demonstrate that the proposed method enhances the delivery rate by 10% and reduces the average delay by 15% and hop count by 8% when compared to existing approaches.https://www.sciopen.com/article/10.26599/FIE.2024.9270046delay tolerant networksselfish nodesfuzzy logicmessage forwarding |
| spellingShingle | Fahimeh Rashidjafari Nahideh Derakhshanfard Behrouz Shahrokhzadeh Ali Ghaffari Selfish Node Detection in Delay Tolerant Networks Using Fuzzy Logic Fuzzy Information and Engineering delay tolerant networks selfish nodes fuzzy logic message forwarding |
| title | Selfish Node Detection in Delay Tolerant Networks Using Fuzzy Logic |
| title_full | Selfish Node Detection in Delay Tolerant Networks Using Fuzzy Logic |
| title_fullStr | Selfish Node Detection in Delay Tolerant Networks Using Fuzzy Logic |
| title_full_unstemmed | Selfish Node Detection in Delay Tolerant Networks Using Fuzzy Logic |
| title_short | Selfish Node Detection in Delay Tolerant Networks Using Fuzzy Logic |
| title_sort | selfish node detection in delay tolerant networks using fuzzy logic |
| topic | delay tolerant networks selfish nodes fuzzy logic message forwarding |
| url | https://www.sciopen.com/article/10.26599/FIE.2024.9270046 |
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