A genetic ant colony algorithm for routing in CPS heterogeneous network

  • Authors:

  • Zhijun Gao;Jingya Ren;Changtao Wang;Kuan Huang;Hongyu Wang;Ying Liu

  • Affiliations:

  • School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China;Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China;Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China;Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China;School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China;Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China

  • Venue:
  • International Journal of Computer Applications in Technology
  • Year:
  • 2013

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Abstract

Cyber-physical system CPS is the developing trend of the network in the next generation. According to the characteristics and requirements of CPS, in this paper, we propose a CPS network architecture which mainly consists of four layers, physical layer, network layer, transport layer and application layer. Because of the heterogeneity of CPS, the guarantee of the quality of service QoS is the key challenge for the network. The genetic algorithm and the ant colony algorithm are both effective methods for the routing issues, but they both have obvious disadvantages. In this paper, we combine the two algorithms for efficient routing in CPS. Simulation results show the proposed algorithm performs better.