基于3次握手改进机制和SVM的无人机网络协作邻居发现协议

doi:10.12066/j.issn.1007-2861.2347

Abstract

Abstract:

Unmanned aerial vehicles have been widely used in military and civil fields, and unmanned aerial vehicle networking has become a hot research topic. Neighbor discovery is a prerequisite step to complete a network. In this study, the 3-handshake non-cooperation neighbor discovery (3-NCND) protocol is first improved. Then a support vector machine (SVM) algorithm is integrated and a 3-handshake and SVM cooperative neighbor discovery (3-SVMCND) protocol is proposed. SVMs are trained as classifiers and then added to the neighbor discovery protocol. The protocol can intelligently recommend its own neighbor nodes to the target nodes and can reduce the number of neighbor node recommendations while improving the speed of neighbor discovery. In this study, three performance indices of neighbor discovery, namely, slot number, neighbor discovery rate, and energy consumption, are compared in a simulation experiment. Results show that 3-SVMCND has a faster discovery speed and higher neighbor discovery rate than those of 3-NCND.

Key words: unmanned aerial vehicle, support vector machine (SVM), binary coding, collaborative neighbor discovery (CND), intelligently

CLC Number:

TN915

WANG Tao, CHEN Yinhao, LI Ping, WU Yating, SUN Yanzan, WANG Rui. A collaborative neighbor discovery protocol for unmanned aerial vehicle network based on improved three-way handshake mechanism and SVM[J]. Journal of Shanghai University（Natural Science Edition）, 2023, 29(1): 82-94.

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A collaborative neighbor discovery protocol for unmanned aerial vehicle network based on improved three-way handshake mechanism and SVM

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