Routing Algorithm of Health Monitoring Network in CPS Old Building Structure Based on Genetic Ant Colony Algorithm

Authors

  • Hongsheng Yuan School of Architectural Engineering, Lang fang Teachers University
  • Yongjun Han School of Architectural Engineering, Lang fang Teachers University

DOI:

https://doi.org/10.3991/ijoe.v12i10.6201

Keywords:

building structure health monitoring network, Genetic ant colony algorithm, CPS

Abstract


 

The paper puts forward a multicast routing algorithm of genetic ant colony algorithm according to the QoS multicast routing problems existing in CPS heterogeneous network and by combining with characteristics of health monitoring on building structures. A heuristic algorithm with better time efficiency and faster solution is formed as well, which is able to provide better service quality for CPS network; HMR algorithm of balanced energy-consumption which is suitable for multilevel energy heterogeneous network is put forward so that high energy nodes and the low energy nodes can undertake more tasks of interrupted transmission. The left energy of nodes in the network is balanced, which is conducive to expanding the stability cycle of network and improving the stability of network.

 

Author Biographies

Hongsheng Yuan, School of Architectural Engineering, Lang fang Teachers University

Hongsheng Yuan works in school of Architectural Engineering, Lang fang Teachers University. His research directions are historical building protection and computer aided historical building protection

Yongjun Han, School of Architectural Engineering, Lang fang Teachers University

Yongjun Han is an engineer and works in School of Architectural Engineering, Lang fang Teachers University. His research direction is building construction.

Downloads

Published

2016-10-31

How to Cite

Yuan, H., & Han, Y. (2016). Routing Algorithm of Health Monitoring Network in CPS Old Building Structure Based on Genetic Ant Colony Algorithm. International Journal of Online and Biomedical Engineering (iJOE), 12(10), pp. 24–30. https://doi.org/10.3991/ijoe.v12i10.6201

Issue

Section

Papers