Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks
The geographic routing protocol only requires the location information of local nodes for routing decisions, and is considered very efficient in multi-hop wireless sensor networks. However, in dynamic wireless sensor networks, it increases the routing overhead while obtaining the location informatio...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/19/1/196 |
| _version_ | 1798034070392799232 |
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| author | Xing Hu Linhua Ma Yongqiang Ding Jin Xu Yan Li Shiping Ma |
| author_facet | Xing Hu Linhua Ma Yongqiang Ding Jin Xu Yan Li Shiping Ma |
| author_sort | Xing Hu |
| collection | DOAJ |
| description | The geographic routing protocol only requires the location information of local nodes for routing decisions, and is considered very efficient in multi-hop wireless sensor networks. However, in dynamic wireless sensor networks, it increases the routing overhead while obtaining the location information of destination nodes by using a location server algorithm. In addition, the routing void problem and location inaccuracy problem also occur in geographic routing. To solve these problems, a novel fuzzy logic-based geographic routing protocol (FLGR) is proposed. The selection criteria and parameters for the assessment of the next forwarding node are also proposed. In FLGR protocol, the next forward node can be selected based on the fuzzy location region of the destination node. Finally, the feasibility of the FLGR forwarding mode is verified and the performance of FLGR protocol is analyzed via simulation. Simulation results show that the proposed FLGR forwarding mode can effectively avoid the routing void problem. Compared with existing protocols, the FLGR protocol has lower routing overhead, and a higher packet delivery rate in a sparse network. |
| first_indexed | 2024-04-11T20:39:10Z |
| format | Article |
| id | doaj.art-b308ed3d2995421aa9d719bc3c80e6ce |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:39:10Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b308ed3d2995421aa9d719bc3c80e6ce2022-12-22T04:04:17ZengMDPI AGSensors1424-82202019-01-0119119610.3390/s19010196s19010196Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor NetworksXing Hu0Linhua Ma1Yongqiang Ding2Jin Xu3Yan Li4Shiping Ma5School of Aeronautics Engineering, Air Force Engineering University, Xi’an 710038, ChinaInstitute of Unmanned Systems Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaAviation Petty Officer School, Air Force Engineering University, Xinyang 464000, ChinaSchool of Aeronautics Engineering, Air Force Engineering University, Xi’an 710038, ChinaSchool of Aeronautics Engineering, Air Force Engineering University, Xi’an 710038, ChinaSchool of Aeronautics Engineering, Air Force Engineering University, Xi’an 710038, ChinaThe geographic routing protocol only requires the location information of local nodes for routing decisions, and is considered very efficient in multi-hop wireless sensor networks. However, in dynamic wireless sensor networks, it increases the routing overhead while obtaining the location information of destination nodes by using a location server algorithm. In addition, the routing void problem and location inaccuracy problem also occur in geographic routing. To solve these problems, a novel fuzzy logic-based geographic routing protocol (FLGR) is proposed. The selection criteria and parameters for the assessment of the next forwarding node are also proposed. In FLGR protocol, the next forward node can be selected based on the fuzzy location region of the destination node. Finally, the feasibility of the FLGR forwarding mode is verified and the performance of FLGR protocol is analyzed via simulation. Simulation results show that the proposed FLGR forwarding mode can effectively avoid the routing void problem. Compared with existing protocols, the FLGR protocol has lower routing overhead, and a higher packet delivery rate in a sparse network.http://www.mdpi.com/1424-8220/19/1/196geographic routing protocolfuzzy logicselection criteriaparameters for assessmentrouting overhead |
| spellingShingle | Xing Hu Linhua Ma Yongqiang Ding Jin Xu Yan Li Shiping Ma Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks Sensors geographic routing protocol fuzzy logic selection criteria parameters for assessment routing overhead |
| title | Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks |
| title_full | Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks |
| title_fullStr | Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks |
| title_full_unstemmed | Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks |
| title_short | Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks |
| title_sort | fuzzy logic based geographic routing protocol for dynamic wireless sensor networks |
| topic | geographic routing protocol fuzzy logic selection criteria parameters for assessment routing overhead |
| url | http://www.mdpi.com/1424-8220/19/1/196 |
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