A Diversity-based Selfish Node Detection Algorithm for Socially Aware Networking

Because mobile devices only have the limited resource in socially aware networking, some network nodes are unwilling to sacrifice their resource to forward messages to others for free, thus forming selfish nodes. However selfish nodes will cause dropping in the message delivery rate and affect the n...

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Veröffentlicht in:	Journal of signal processing systems Jg. 93; H. 7; S. 811 - 825
Hauptverfasser:	Xiao, Nan, Xinyi, Rang, Xiong, Zenggang, Xu, Fang, Zhang, Xuemin, Xu, Qiong, Zhao, Xiaochao, Ye, Conghuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2021 Springer Nature B.V
Schlagworte:	Algorithms Circuits and Systems Computer Imaging Electrical Engineering Electronic devices Engineering Image Processing and Computer Vision Messages Nodes Pattern Recognition Pattern Recognition and Graphics Signal,Image and Speech Processing Vision Limited resource Diversity detection Selfish nodes Socially aware networking
ISSN:	1939-8018, 1939-8115
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Abstract	Because mobile devices only have the limited resource in socially aware networking, some network nodes are unwilling to sacrifice their resource to forward messages to others for free, thus forming selfish nodes. However selfish nodes will cause dropping in the message delivery rate and affect the network performance, so this paper has proposed a diversity-based selfish node detection algorithm (DSNDA). Firstly, it mainly applies the node forwarding willingness mechanism to detect whether the node is selfish. If the node has the inadequate resource, that is, it cannot forward any messages for others; then it will be selfish. If the node’s resource is enough and the node has forwarded messages to other nodes, it indicates that the node is not selfish. Otherwise, DSNDA algorithm will use reputation mechanism to check the node further. If the node has broken faith, it indicates that the node is selfish. On the contrary the message confirmation mechanism will be employed to make the final check on the node. If a message does not be received or discarded after the node’s receiving it, which proves that it has selfish behaviour. If not, the node is normal. It can be proved by the simulation experiment and results that the DSNDA algorithm has significantly improved the delivery rate of messages, comparing with other algorithms. At the same time, reducing the network delay, thus verifying the feasibility of DSNDA.
AbstractList	Because mobile devices only have the limited resource in socially aware networking, some network nodes are unwilling to sacrifice their resource to forward messages to others for free, thus forming selfish nodes. However selfish nodes will cause dropping in the message delivery rate and affect the network performance, so this paper has proposed a diversity-based selfish node detection algorithm (DSNDA). Firstly, it mainly applies the node forwarding willingness mechanism to detect whether the node is selfish. If the node has the inadequate resource, that is, it cannot forward any messages for others; then it will be selfish. If the node’s resource is enough and the node has forwarded messages to other nodes, it indicates that the node is not selfish. Otherwise, DSNDA algorithm will use reputation mechanism to check the node further. If the node has broken faith, it indicates that the node is selfish. On the contrary the message confirmation mechanism will be employed to make the final check on the node. If a message does not be received or discarded after the node’s receiving it, which proves that it has selfish behaviour. If not, the node is normal. It can be proved by the simulation experiment and results that the DSNDA algorithm has significantly improved the delivery rate of messages, comparing with other algorithms. At the same time, reducing the network delay, thus verifying the feasibility of DSNDA.
Author	Ye, Conghuan Zhao, Xiaochao Xinyi, Rang Xiong, Zenggang Zhang, Xuemin Xiao, Nan Xu, Fang Xu, Qiong
Author_xml	– sequence: 1 givenname: Nan surname: Xiao fullname: Xiao, Nan organization: School of Computer and Information Science, Hubei Engineering University, School of Computer Science and Information Engineering, Hubei University – sequence: 2 givenname: Rang surname: Xinyi fullname: Xinyi, Rang organization: School of Information Engineering, Nanchang University – sequence: 3 givenname: Zenggang orcidid: 0000-0003-4467-9599 surname: Xiong fullname: Xiong, Zenggang email: xzg@hbeu.edu.cn, jkxxzg2003@163.com organization: School of Computer and Information Science, Hubei Engineering University, School of Computer Science and Information Engineering, Hubei University – sequence: 4 givenname: Fang surname: Xu fullname: Xu, Fang organization: School of Computer and Information Science, Hubei Engineering University – sequence: 5 givenname: Xuemin surname: Zhang fullname: Zhang, Xuemin organization: School of Computer and Information Science, Hubei Engineering University – sequence: 6 givenname: Qiong surname: Xu fullname: Xu, Qiong organization: School of Computer and Information Science, Hubei Engineering University, School of Computer Science and Information Engineering, Hubei University – sequence: 7 givenname: Xiaochao surname: Zhao fullname: Zhao, Xiaochao organization: School of Computer and Information Science, Hubei Engineering University – sequence: 8 givenname: Conghuan surname: Ye fullname: Ye, Conghuan organization: School of Computer and Information Science, Hubei Engineering University
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Cites_doi	10.1007/s11042-018-7081-3 10.1109/TBDATA.2016.2597149 10.1109/TVT.2016.2593051 10.1109/JSYST.2013.2281262 10.1109/TVT.2014.2305192 10.1145/961268.961272 10.1016/j.future.2019.02.033 10.1109/MCC.2014.71 10.1109/TMC.2007.1036 10.1109/COMST.2014.2381246 10.1016/j.aeue.2011.05.001 10.1109/MCOM.2017.1600349CM 10.1109/TCAD.2013.2238990 10.1109/TSUSC.2017.2723954 10.1109/TMC.2016.2517649 10.1016/j.future.2017.10.049 10.1145/1080139.1080143 10.1109/PASSAT/SocialCom.2011.60 10.1109/COMSWA.2007.382571 10.1002/cpe.5524 10.1109/INFCOM.2010.5462138 10.1145/345910.345955 10.1007/978-0-387-35612-9_9 10.4108/ICST.SIMUTOOLS2009.5674
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Snippet	Because mobile devices only have the limited resource in socially aware networking, some network nodes are unwilling to sacrifice their resource to forward...
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SubjectTerms	Algorithms Circuits and Systems Computer Imaging Electrical Engineering Electronic devices Engineering Image Processing and Computer Vision Messages Nodes Pattern Recognition Pattern Recognition and Graphics Signal,Image and Speech Processing Vision
Title	A Diversity-based Selfish Node Detection Algorithm for Socially Aware Networking
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