A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor Networks
Wireless sensor networks (WSNs) are networks of autonomous nodes used for monitoring an environment. Topology control is one of the most fundamental problems in WSNs. To overcome high connectivity redundancy and low structure robustness in traditional methods, a PSO-optimized minimum spanning tree-b...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2013-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/985410 |
| _version_ | 1797721784303222784 |
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| author | Wenzhong Guo Bin Zhang Guolong Chen Xiaofeng Wang Naixue Xiong |
| author_facet | Wenzhong Guo Bin Zhang Guolong Chen Xiaofeng Wang Naixue Xiong |
| author_sort | Wenzhong Guo |
| collection | DOAJ |
| description | Wireless sensor networks (WSNs) are networks of autonomous nodes used for monitoring an environment. Topology control is one of the most fundamental problems in WSNs. To overcome high connectivity redundancy and low structure robustness in traditional methods, a PSO-optimized minimum spanning tree-based topology control scheme is proposed in this paper. In the proposed scheme, we transform the problem into a model of multicriteria degree constrained minimum spanning tree (mcd-MST) and design a nondominated discrete particle swarm optimization (NDPSO) to deal with this problem. To obtain a better approximation of true Pareto front, the multiobjective strategy with a fitness function based on niche and phenotype sharing function is applied in NDPSO. Furthermore, a topology control scheme based on NDPSO is proposed. Simulation results show that NDPSO can converge to the non-dominated front quite evenly, and the topology derived under the proposed topology control scheme has lower total power consumption, higher robust structure, and lower contention among nodes. |
| first_indexed | 2024-03-12T09:38:13Z |
| format | Article |
| id | doaj.art-8234f38deb0644feb32150bf838a216e |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T09:38:13Z |
| publishDate | 2013-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-8234f38deb0644feb32150bf838a216e2023-09-02T13:26:58ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-04-01910.1155/2013/985410A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor NetworksWenzhong Guo0Bin Zhang1Guolong Chen2Xiaofeng Wang3Naixue Xiong4 College of Computer, National University of Defense Technology, Changsha 410073, China College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China College of Computer, National University of Defense Technology, Changsha 410073, China School of Computer Science, Colorado Technical University, Colorado Spring, CO 80907, USAWireless sensor networks (WSNs) are networks of autonomous nodes used for monitoring an environment. Topology control is one of the most fundamental problems in WSNs. To overcome high connectivity redundancy and low structure robustness in traditional methods, a PSO-optimized minimum spanning tree-based topology control scheme is proposed in this paper. In the proposed scheme, we transform the problem into a model of multicriteria degree constrained minimum spanning tree (mcd-MST) and design a nondominated discrete particle swarm optimization (NDPSO) to deal with this problem. To obtain a better approximation of true Pareto front, the multiobjective strategy with a fitness function based on niche and phenotype sharing function is applied in NDPSO. Furthermore, a topology control scheme based on NDPSO is proposed. Simulation results show that NDPSO can converge to the non-dominated front quite evenly, and the topology derived under the proposed topology control scheme has lower total power consumption, higher robust structure, and lower contention among nodes.https://doi.org/10.1155/2013/985410 |
| spellingShingle | Wenzhong Guo Bin Zhang Guolong Chen Xiaofeng Wang Naixue Xiong A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor Networks |
| title_full | A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor Networks |
| title_fullStr | A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor Networks |
| title_full_unstemmed | A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor Networks |
| title_short | A PSO-Optimized Minimum Spanning Tree-Based Topology Control Scheme for Wireless Sensor Networks |
| title_sort | pso optimized minimum spanning tree based topology control scheme for wireless sensor networks |
| url | https://doi.org/10.1155/2013/985410 |
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