首页> 外文期刊>Ad hoc networks >APTEEN routing protocol optimization in wireless sensor networks based on combination of genetic algorithms and fruit fly optimization algorithm
【24h】

APTEEN routing protocol optimization in wireless sensor networks based on combination of genetic algorithms and fruit fly optimization algorithm

机译:基于遗传算法和果蝇优化算法的组合的无线传感器网络中的APTEEN路由协议优化

获取原文
获取原文并翻译 | 示例
           

摘要

APTEEN routing protocol exists the problems of uneven network energy consumption, premature death of some nodes, consume too much unnecessary energy and low effective coverage of the whole network. To solve these problems, this paper optimizes the APTEEN routing protocol by combining genetic algorithm with fruit fly optimization algorithm. By adding residual energy, distance from node to base station, distance from node to geometric center of the whole network, node degree and other selection factors to cluster heads selection, the genetic algorithm and fruit fly optimization algorithm is used to select cluster heads for the first time, and the second time of cluster heads selection based on density adaptive algorithm. Some nodes are selected to sleep according to the position and degree of nodes. The residual energy of cluster head, the distance between node and cluster head, and the number of cluster members are taken into account when nodes join clusters. When energy is transmitted from cluster heads to base station, the Dijkstra algorithm is used to find the optimal path. Add the rule of rotating cluster heads when the energy consumption of data transmission is too high, and the GA-APTEEN routing protocol is obtained through the above optimization. The simulation results show that the GA-APTEEN improves the 50% lifetime, 10% coverage and robustness of the network, reduces the energy consumption of the overall network system and avoids the phenomenon of the hot zone of energy. (C) 2020 Elsevier B.V. All rights reserved.
机译:APTEEN路由协议存在网络能耗不均匀,一些节点的过早死亡,消耗太多不必要的能量和整个网络的低有效覆盖。为了解决这些问题,本文通过将遗传算法与果蝇优化算法组合来优化APTEEN路由协议。通过增加残余能量,从节点到基站的距离,从节点到整个网络的几何中心,节点度和其他选择因素到簇头选择,遗传算法和果蝇优化算法用于选择群集头第一次,以及基于密度自适应算法的集群头选择的第二次。选择一些节点根据节点的位置和程度休眠。簇头的剩余能量,节点和群集头之间的距离以及当节点加入集群时考虑到集群成员的数量。当能量从集群头传输到基站时,Dijkstra算法用于找到最佳路径。当数据传输的能量消耗太高时,添加旋转簇头规则,通过上述优化获得GA-APTEEN路由协议。仿真结果表明,GA-APTEEN提高了50%的寿命,10%覆盖率和网络的鲁棒性,降低了整体网络系统的能耗,避免了热电区的现象。 (c)2020 Elsevier B.v.保留所有权利。

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