Termite Colony Optimization Based Routing In Wireless Mesh Networks
作者: Sharad SharmaAsha Malik
作者单位: 1MMU Ambala, Haryana (INDIA)
2Department of Electronics &Communication Engineering, Panipat Institute of Engineering and Technology, Panipat, Haryana, India
刊名: Integrated Research Advances, 2016, Vol.3 (2), pp.56-61
来源数据库: Integrated Science Publishing
关键词: Soft ComputingStigmergySwarm Intelligence (SI)Termite Colony Optimization (TCO)Wireless Mesh Network (WMN)
原始语种摘要: With the advancement in wireless technologies WMN has become key component of the next generation wireless network technologies. Due to the dynamically changing network conditions finding paths in the networks have become a challenging issue for their implementation. In this paper we propose a nature inspire swarm intelligence based soft computing technique called Termite Colony Optimization, for solving network path optimization problems. TCO takes its inspiration from natural termite’s mound building behaviour based on the pheromone gradient. It is a meta-heuristic technique. TCO is effective at calculating minimum cost path when run for definite iterations, thus optimizes network performance.
全文获取路径: 综合科学出版社 

  • inspiration 灵感
  • network 网络
  • pheromone 信息素
  • optimization 最佳化
  • wireless 无线的
  • swarm 
  • Termite 特米特铅基轴承合金
  • changing 更换弹种
  • solving 求解
  • heuristic 试探