首页> 外文期刊>Computers and Electrical Engineering >Deploying charging nodes in wireless rechargeable sensor networks based on improved firefly algorithm
【24h】

Deploying charging nodes in wireless rechargeable sensor networks based on improved firefly algorithm

机译:基于改进的Firefly算法在无线可充电传感器网络中部署充电节点

获取原文
获取原文并翻译 | 示例
       

摘要

A wireless rechargeable sensor network (WRSN) consists of sensor nodes that can harvest energy from the wireless charging nodes (WCNs) for prolonging the network lifetime. This study deals with the WCN deployment optimization problem in WRSNs. We propose an optimization framework that simultaneously maximizes the coverage and the charging efficiency. Moreover, an improved firefly algorithm (IFA) is proposed for solving the WCN deployment optimization problem. IFA adopts a novel adaptive attractiveness factor and introduces a dynamic location update mechanism to enhance the performance of the conventional firefly algorithm (FA). We compare the proposed IFA with several benchmark algorithms in two different scenarios. Simulation results show that the proposed algorithm outperforms other comparative algorithms in both accuracy and convergence rate. (C) 2017 Elsevier Ltd. All rights reserved.
机译:无线可充电传感器网络(WRSN)由传感器节点组成,可以从无线充电节点(WCN)收集能量,以延长网络寿命。 本研究涉及WRSNS中的WCN部署优化问题。 我们提出了一种优化框架,同时最大化覆盖率和充电效率。 此外,提出了一种改进的萤火虫算法(IFA)来解决WCN部署优化问题。 IFA采用新型自适应吸引力因素,并引入动态位置更新机制,以增强传统萤火虫算法(FA)的性能。 我们将建议的IFA与两个不同的场景中的几个基准算法进行比较。 仿真结果表明,该算法以准确性和收敛速率占其他比较算法。 (c)2017 Elsevier Ltd.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