A Swarm Intelligence Algorithm for Routing Recovery Strategy in Wireless Sensor Networks With Mobile Sink
Considering the fault tolerance mechanism in the route optimization of the mobile wireless sensor network (MWSN), we analyze the routing fault tolerance between nodes and establish an intelligent fault-tolerant routing model for MWSN. We also propose a novel fault-tolerant routing algorithm for an M...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8520861/ |
| _version_ | 1828962976707641344 |
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| author | Yinggao Yue Li Cao Bo Hang Zhongqiang Luo |
| author_facet | Yinggao Yue Li Cao Bo Hang Zhongqiang Luo |
| author_sort | Yinggao Yue |
| collection | DOAJ |
| description | Considering the fault tolerance mechanism in the route optimization of the mobile wireless sensor network (MWSN), we analyze the routing fault tolerance between nodes and establish an intelligent fault-tolerant routing model for MWSN. We also propose a novel fault-tolerant routing algorithm for an MWSN based on an artificial bee colony (ABC) optimized particle swarm optimization algorithm (ABC-PSO), and this optimizes the ABC-PSO algorithm is applied to study the optimal construction strategy of an alternate route. The proposed using of the path coding, the ABC algorithm optimization, the collaborative updation, and the evolution of the principal and subordinate swarms, as well as particle selection, provide faster overall convergence performance and more accurate solutions for the network optimization. Analytical proofs and simulation experiments show that the route fault-tolerant strategy proposed in this paper can create a reliable transmission environment and an efficient route recovery mechanism for the MWSN. Moreover, it can lower the energy consumption of the network and increase the network’s lifetime and improve the robustness and the reliability of MWSN. |
| first_indexed | 2024-12-14T10:16:11Z |
| format | Article |
| id | doaj.art-1a4bd1803dfe41e3abc3d7368a4b7024 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:16:11Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1a4bd1803dfe41e3abc3d7368a4b70242022-12-21T23:06:49ZengIEEEIEEE Access2169-35362018-01-016674346744510.1109/ACCESS.2018.28793648520861A Swarm Intelligence Algorithm for Routing Recovery Strategy in Wireless Sensor Networks With Mobile SinkYinggao Yue0https://orcid.org/0000-0002-5582-8791Li Cao1Bo Hang2https://orcid.org/0000-0003-1554-4388Zhongqiang Luo3Computer School, Hubei University of Arts and Science, Xiangyang, ChinaSchool of Information Engineering, Southwest University of Science and Technology, Mianyang, ChinaComputer School, Hubei University of Arts and Science, Xiangyang, ChinaArtificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Yibin, ChinaConsidering the fault tolerance mechanism in the route optimization of the mobile wireless sensor network (MWSN), we analyze the routing fault tolerance between nodes and establish an intelligent fault-tolerant routing model for MWSN. We also propose a novel fault-tolerant routing algorithm for an MWSN based on an artificial bee colony (ABC) optimized particle swarm optimization algorithm (ABC-PSO), and this optimizes the ABC-PSO algorithm is applied to study the optimal construction strategy of an alternate route. The proposed using of the path coding, the ABC algorithm optimization, the collaborative updation, and the evolution of the principal and subordinate swarms, as well as particle selection, provide faster overall convergence performance and more accurate solutions for the network optimization. Analytical proofs and simulation experiments show that the route fault-tolerant strategy proposed in this paper can create a reliable transmission environment and an efficient route recovery mechanism for the MWSN. Moreover, it can lower the energy consumption of the network and increase the network’s lifetime and improve the robustness and the reliability of MWSN.https://ieeexplore.ieee.org/document/8520861/Mobile wireless sensor networksfault tolerantswarm intelligence algorithmparticle swarm optimization algorithmreliability |
| spellingShingle | Yinggao Yue Li Cao Bo Hang Zhongqiang Luo A Swarm Intelligence Algorithm for Routing Recovery Strategy in Wireless Sensor Networks With Mobile Sink IEEE Access Mobile wireless sensor networks fault tolerant swarm intelligence algorithm particle swarm optimization algorithm reliability |
| title | A Swarm Intelligence Algorithm for Routing Recovery Strategy in Wireless Sensor Networks With Mobile Sink |
| title_full | A Swarm Intelligence Algorithm for Routing Recovery Strategy in Wireless Sensor Networks With Mobile Sink |
| title_fullStr | A Swarm Intelligence Algorithm for Routing Recovery Strategy in Wireless Sensor Networks With Mobile Sink |
| title_full_unstemmed | A Swarm Intelligence Algorithm for Routing Recovery Strategy in Wireless Sensor Networks With Mobile Sink |
| title_short | A Swarm Intelligence Algorithm for Routing Recovery Strategy in Wireless Sensor Networks With Mobile Sink |
| title_sort | swarm intelligence algorithm for routing recovery strategy in wireless sensor networks with mobile sink |
| topic | Mobile wireless sensor networks fault tolerant swarm intelligence algorithm particle swarm optimization algorithm reliability |
| url | https://ieeexplore.ieee.org/document/8520861/ |
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