Research on Nodes Re-optimization of Microwave Relay Network

Authors

Yunjun Lu, 1. College of Information and Communication, National University of Defense Technology, Wuhan 430019, Chnia;;
Kebin Chen, 1. College of Information and Communication, National University of Defense Technology, Wuhan 430019, Chnia;;
Mengyao Han, 1. College of Information and Communication, National University of Defense Technology, Wuhan 430019, Chnia;;2. Department of Defense Economics, Army Logistical University of PLA, Chongqing 400030, China;
Yiqiao Jin, 1. College of Information and Communication, National University of Defense Technology, Wuhan 430019, Chnia;;

Abstract

Abstract: The microwave relay network nodes are studied and the topology is optimized. Considering the link attenuation probability, node attraction coefficient and communication redundancy, the optimal link set is obtained by genetic algorithm with the idea of network topology optimization. By calculating the degree of each node in the optimal link set and sorting the node with the value of degree, the candidates of the trunk nodes are given. The microwave relay network topology given by the conventional method is optimized. The method has certain versatility. It can be applied to the selection of other network trunks and relay nodes by modifying the link and node attribute set.

Recommended Citation

Lu, Yunjun; Chen, Kebin; Han, Mengyao; and Jin, Yiqiao (2020) "Research on Nodes Re-optimization of Microwave Relay Network," Journal of System Simulation: Vol. 32: Iss. 8, Article 8.
DOI: 10.16182/j.issn1004731x.joss.19-0032
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss8/8

First Page

1481

Revised Date

2019-05-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0032

Last Page

1488

CLC

TP302

Recommended Citation

Lu Yunjun, Chen Kebin, Han Mengyao, Jin Yiqiao. Research on Nodes Re-optimization of Microwave Relay Network[J]. Journal of System Simulation, 2020, 32(8): 1481-1488.

Corresponding Author

Kebin Chen,

DOI

10.16182/j.issn1004731x.joss.19-0032