首页> 外文期刊>International Journal of Distributed Sensor Networks >A Faster Convergence Artificial Bee Colony Algorithm in Sensor Deployment for Wireless Sensor Networks
【24h】

A Faster Convergence Artificial Bee Colony Algorithm in Sensor Deployment for Wireless Sensor Networks

机译:无线传感器网络传感器部署中的快速收敛人工蜂群算法

获取原文
       

摘要

In wireless sensor networks (WSN), sensor deployment is one of the main topics for enhancing the sensor’s coverage rate. In this paper, by modifying updating equation of onlooker bee and scout bee of original artificial bee colony (ABC) algorithm, a sensor deployment algorithm based on the modified ABC algorithm is proposed. Some new parameters such as forgetting and neighbor factor for accelerating the convergence speed and probability of mutant for maximizing the coverage rate are introduced. Simulation results showed that comparing with the deployment method based on original ABC and particle swarm optimization (PSO) algorithm, the proposed approach can achieve a better performance in coverage rate and convergence speed while needing a less total moving distance of sensors.
机译:在无线传感器网络(WSN)中,传感器的部署是提高传感器覆盖率的主要主题之一。通过修改原始人工蜂群算法的旁观蜂和侦察蜂的更新方程,提出了一种基于改进的ABC算法的传感器部署算法。引入了一些新的参数,如遗忘和邻居因子,以加快收敛速度​​和突变率,以使覆盖率最大化。仿真结果表明,与基于原始ABC和粒子群优化(PSO)算法的部署方法相比,该方法在传感器的总移动距离更短的情况下,可以实现更好的覆盖率和收敛速度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号