An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks
An energy-efficient ACO-based multipath routing algorithm (EAMR) is proposed for energy-constrained wireless sensor networks. EAMR is a hybrid multipath algorithm, which is reactive in path discovery and proactive in route maintenance. EAMR has improvement and innovation in the ant packet structure,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2015-06-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/642189 |
| _version_ | 1797765894826360832 |
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| author | Mengjun Tong Yangli Chen Fangxiang Chen Xiaoping Wu Guozhong Shou |
| author_facet | Mengjun Tong Yangli Chen Fangxiang Chen Xiaoping Wu Guozhong Shou |
| author_sort | Mengjun Tong |
| collection | DOAJ |
| description | An energy-efficient ACO-based multipath routing algorithm (EAMR) is proposed for energy-constrained wireless sensor networks. EAMR is a hybrid multipath algorithm, which is reactive in path discovery and proactive in route maintenance. EAMR has improvement and innovation in the ant packet structure, pheromone update formula, pheromone update mode, and the mechanism of multipath. Average energy consumption and congestion of path make pheromone update formula more reasonable. Incremental pheromone update mode may easily lead to local optimum. The pheromone will be thoroughly updated when a node receives a backward ant. EAMR makes an innovation in multipath mechanism which becomes more reasonable to multipath between source node and destination node. Probabilistic routing mechanism is designed to make stream flow into network more balanced. The simulation results show that the proposed algorithm achieves an improvement in energy efficiency, packet delivery ratio, and end-to-end delay. |
| first_indexed | 2024-03-12T20:16:39Z |
| format | Article |
| id | doaj.art-92ff4af4526845c385c09b79beae888e |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T20:16:39Z |
| publishDate | 2015-06-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-92ff4af4526845c385c09b79beae888e2023-08-02T01:15:32ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-06-011110.1155/2015/642189642189An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor NetworksMengjun Tong0Yangli Chen1Fangxiang Chen2Xiaoping Wu3Guozhong Shou4 Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research, Lin'an City 311300, China Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research, Lin'an City 311300, China Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research, Lin'an City 311300, China Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research, Lin'an City 311300, China Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research, Lin'an City 311300, ChinaAn energy-efficient ACO-based multipath routing algorithm (EAMR) is proposed for energy-constrained wireless sensor networks. EAMR is a hybrid multipath algorithm, which is reactive in path discovery and proactive in route maintenance. EAMR has improvement and innovation in the ant packet structure, pheromone update formula, pheromone update mode, and the mechanism of multipath. Average energy consumption and congestion of path make pheromone update formula more reasonable. Incremental pheromone update mode may easily lead to local optimum. The pheromone will be thoroughly updated when a node receives a backward ant. EAMR makes an innovation in multipath mechanism which becomes more reasonable to multipath between source node and destination node. Probabilistic routing mechanism is designed to make stream flow into network more balanced. The simulation results show that the proposed algorithm achieves an improvement in energy efficiency, packet delivery ratio, and end-to-end delay.https://doi.org/10.1155/2015/642189 |
| spellingShingle | Mengjun Tong Yangli Chen Fangxiang Chen Xiaoping Wu Guozhong Shou An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks |
| title_full | An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks |
| title_fullStr | An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks |
| title_full_unstemmed | An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks |
| title_short | An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks |
| title_sort | energy efficient multipath routing algorithm based on ant colony optimization for wireless sensor networks |
| url | https://doi.org/10.1155/2015/642189 |
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