A routing algorithm for region division based on virtual spider web model
A disjoint multipath routing algorithm based on region division is proposed to resolve problems such as potential “hot area” around the sink node and path instability caused by frequent movement of routing nodes in the mobile wireless sensor network. This paper first improves the regional division m...
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| Vydané v: | EURASIP journal on wireless communications and networking Ročník 2019; číslo 1; s. 1 - 11 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Springer International Publishing
02.05.2019
Springer Nature B.V SpringerOpen |
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| ISSN: | 1687-1499, 1687-1472, 1687-1499 |
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| Abstract | A disjoint multipath routing algorithm based on region division is proposed to resolve problems such as potential “hot area” around the sink node and path instability caused by frequent movement of routing nodes in the mobile wireless sensor network. This paper first improves the regional division model of the whole network by learning from the predation of spiders, and increases the number of nodes in the inner area by enlarging the width of the inner ring to alleviate the “hot area” problem. Then, three modes based on distance priority, angle priority, and weight priority are proposed to ensure the independence between the paths when generating the disjoint multipath of the mobile node in a certain divided area. Meanwhile, the method of selecting “borrowing node” with minimum weights is adopted to ensure the effectiveness of the path and deal with the path link break problem. Simulation experiments show that the proposed algorithm has a lower packet loss rate and path failure rate than EM-GMR and AGEM algorithms, which effectively prolongs the lifetime of the entire network and is more applicable to networks with dense nodes. |
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| AbstractList | A disjoint multipath routing algorithm based on region division is proposed to resolve problems such as potential “hot area” around the sink node and path instability caused by frequent movement of routing nodes in the mobile wireless sensor network. This paper first improves the regional division model of the whole network by learning from the predation of spiders, and increases the number of nodes in the inner area by enlarging the width of the inner ring to alleviate the “hot area” problem. Then, three modes based on distance priority, angle priority, and weight priority are proposed to ensure the independence between the paths when generating the disjoint multipath of the mobile node in a certain divided area. Meanwhile, the method of selecting “borrowing node” with minimum weights is adopted to ensure the effectiveness of the path and deal with the path link break problem. Simulation experiments show that the proposed algorithm has a lower packet loss rate and path failure rate than EM-GMR and AGEM algorithms, which effectively prolongs the lifetime of the entire network and is more applicable to networks with dense nodes. Abstract A disjoint multipath routing algorithm based on region division is proposed to resolve problems such as potential “hot area” around the sink node and path instability caused by frequent movement of routing nodes in the mobile wireless sensor network. This paper first improves the regional division model of the whole network by learning from the predation of spiders, and increases the number of nodes in the inner area by enlarging the width of the inner ring to alleviate the “hot area” problem. Then, three modes based on distance priority, angle priority, and weight priority are proposed to ensure the independence between the paths when generating the disjoint multipath of the mobile node in a certain divided area. Meanwhile, the method of selecting “borrowing node” with minimum weights is adopted to ensure the effectiveness of the path and deal with the path link break problem. Simulation experiments show that the proposed algorithm has a lower packet loss rate and path failure rate than EM-GMR and AGEM algorithms, which effectively prolongs the lifetime of the entire network and is more applicable to networks with dense nodes. |
| ArticleNumber | 108 |
| Author | Hu, Xian-cheng Guo, Yuan Wei, Lian-suo |
| Author_xml | – sequence: 1 givenname: Lian-suo surname: Wei fullname: Wei, Lian-suo email: weiliansuo@hrbeu.edu.cn organization: College of Computer and Control Engineering, Qiqihar University, Department of Computer Science and Technology, Harbin Engineering University – sequence: 2 givenname: Xian-cheng surname: Hu fullname: Hu, Xian-cheng organization: College of Computer and Control Engineering, Qiqihar University – sequence: 3 givenname: Yuan surname: Guo fullname: Guo, Yuan organization: College of Computer and Control Engineering, Qiqihar University |
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| Cites_doi | 10.1007/s11276-014-0735-9 10.1109/TVT.2017.2771805 10.1109/JSAC.2017.2679578 10.1016/j.comnet.2010.11.005 10.1007/s12083-015-0354-y 10.1016/j.jnca.2013.06.003 10.3390/s18010127 10.1016/j.compeleceng.2012.04.013 10.5120/17895-8911 10.1016/j.jpdc.2015.05.004 |
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| Copyright | The Author(s). 2019 EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Snippet | A disjoint multipath routing algorithm based on region division is proposed to resolve problems such as potential “hot area” around the sink node and path... Abstract A disjoint multipath routing algorithm based on region division is proposed to resolve problems such as potential “hot area” around the sink node and... |
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| SubjectTerms | Algorithms Communications Engineering Computer simulation Distributed Big Data Processing in SCADA Communication Networks Division Engineering Failure rates Information Systems Applications (incl.Internet) Multipath routing Networks Nodes Region partition Remote sensors Signal,Image and Speech Processing Spiders Stability Virtual spider web Wireless sensor networks |
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