Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor Networks
The paper proposes the algorithm of survival topology evolution model. The model applies the survival analysis to the research on the topology of networks. On one hand, it takes the survivability of every node into account. Since the state of a node is affected by the node itself, the environment an...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/278629 |
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| _version_ | 1832547879776944128 |
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| author | Yanliang Jin Xuqin Zhou Zhishu Bai Wei Ma Lina Xu Zhuo Wu Su Ki Ooi Yue Liu |
| author_facet | Yanliang Jin Xuqin Zhou Zhishu Bai Wei Ma Lina Xu Zhuo Wu Su Ki Ooi Yue Liu |
| author_sort | Yanliang Jin |
| collection | DOAJ |
| description | The paper proposes the algorithm of survival topology evolution model. The model applies the survival analysis to the research on the topology of networks. On one hand, it takes the survivability of every node into account. Since the state of a node is affected by the node itself, the environment and so on, it's necessary to study the survivability of nodes. In addition, the survival analysis on the nodes can indicate whether the nodes work well in real time. On the other hand, it also takes the deletion of links and nodes determined by the survivability of the nodes into account. Then it reaches the conclusion by mean field method. The result shows that the degree distributions of WSNs are approximately power law as B-A model and that the survivability of the nodes is proportional to the degree distribution of the network consisting of the previous nodes. These are further confirmed by simulation example. |
| format | Article |
| id | doaj-art-da0041d044234f6f9032f1e9431279c4 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-da0041d044234f6f9032f1e9431279c42025-02-03T06:43:05ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-04-011010.1155/2014/278629278629Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor NetworksYanliang Jin0Xuqin Zhou1Zhishu Bai2Wei Ma3Lina Xu4Zhuo Wu5Su Ki Ooi6Yue Liu7 Key Laboratory of Specific Optical Fiber and Light Access of Ministry of Education, Shanghai University, Shanghai 200072, China Key Laboratory of Specific Optical Fiber and Light Access of Ministry of Education, Shanghai University, Shanghai 200072, China Key Laboratory of Specific Optical Fiber and Light Access of Ministry of Education, Shanghai University, Shanghai 200072, China Key Laboratory of Specific Optical Fiber and Light Access of Ministry of Education, Shanghai University, Shanghai 200072, China Key Laboratory of Specific Optical Fiber and Light Access of Ministry of Education, Shanghai University, Shanghai 200072, China Key Laboratory of Specific Optical Fiber and Light Access of Ministry of Education, Shanghai University, Shanghai 200072, China National ICT Australia, Victoria Research Laboratory, Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia School of Computer Engineering and Science, Shanghai University, Shanghai 200072, ChinaThe paper proposes the algorithm of survival topology evolution model. The model applies the survival analysis to the research on the topology of networks. On one hand, it takes the survivability of every node into account. Since the state of a node is affected by the node itself, the environment and so on, it's necessary to study the survivability of nodes. In addition, the survival analysis on the nodes can indicate whether the nodes work well in real time. On the other hand, it also takes the deletion of links and nodes determined by the survivability of the nodes into account. Then it reaches the conclusion by mean field method. The result shows that the degree distributions of WSNs are approximately power law as B-A model and that the survivability of the nodes is proportional to the degree distribution of the network consisting of the previous nodes. These are further confirmed by simulation example.https://doi.org/10.1155/2014/278629 |
| spellingShingle | Yanliang Jin Xuqin Zhou Zhishu Bai Wei Ma Lina Xu Zhuo Wu Su Ki Ooi Yue Liu Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor Networks |
| title_full | Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor Networks |
| title_fullStr | Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor Networks |
| title_full_unstemmed | Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor Networks |
| title_short | Survivability-Aware Topology Evolution Model with Link and Node Deletion in Wireless Sensor Networks |
| title_sort | survivability aware topology evolution model with link and node deletion in wireless sensor networks |
| url | https://doi.org/10.1155/2014/278629 |
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