首页|Routing algorithm based on triangular fuzzy layer model and multi-layer clustering for opportunistic network

Routing algorithm based on triangular fuzzy layer model and multi-layer clustering for opportunistic network

扫码查看
原文链接
  • NETL
  • NSTL
  • Inst Engineering Technology-Iet
With the development of 5G network and big data and the popularity of mobile intelligent devices, the opportunistic social network has been further developed. At present, several existing routing algorithms based on node similarity use the context information of the node to select the best relay node. However, most opportunistic social algorithms only consider the social properties of nodes and ignore the importance of the similarity of the moving trajectories of the nodes. The transmission opportunity of messages in the opportunity social network is generated by the movement of the nodes, so this feature must betaken into account in the designing of the routing algorithm. Therefore, this study proposes a routing algorithm based on the triangular fuzzy layer model and multi-layer clustering for the opportunistic social network. In this study, the authors use the fuzzy analytic hierarchy process model to analyse the social similarity and trajectory similarity to determine the best message transmission node. This study compares the other four opportunistic social network routing algorithms in the simulation environment. In general, among the five routing algorithms, the transmission rate of the TFMC algorithm is the best. The average end-to-end delay and average network overhead are also the lowest.

social networking (online)fuzzy set theorymobile computingrouting protocolstelecommunication network routingrouting algorithmtriangular fuzzy layer modelopportunistic social networkfuzzy analytic hierarchy process modelsocial similaritymessage transmission nodeTFMC algorithmopportunistic networkexisting routing algorithmsnode similarityrelay nodeopportunistic social algorithmssocial propertiesopportunity social network

Li, Zhuoyang、Chen, Zhigang、Wu, Jia、Liu, Kanghuai

展开 >

Cent South Univ, Sch Comp Sci & Engn, Changsha 410075, Peoples R China|Mobile Hlth Minist Educ China Mobile Joint Lab, Changsha 410083, Peoples R China

2020

10.1049/iet-com.2019.0888

IET communications

IET communications

ISSN：1751-8628
年,卷(期)：2020.14(17)
  • 4
  • 30