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: Yanliang Jin, Xuqin Zhou, Zhishu Bai, Wei Ma, Lina Xu, Zhuo Wu, Su Ki Ooi, Yue Liu
Format: Article
Language:English
Published: Wiley 2014-04-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/278629
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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.
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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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