期刊文献+

可充电无线传感器网络的有向充电优化算法 被引量:3

Directed charging optimization algorithm in rechargeable wireless sensor networks
下载PDF
导出
摘要 目前大部分无线可充电传感器网络(WRSNs,wireless rechargeable sensor networks)的研究只考虑全向充电,在真实环境中有很大的局限性。引入带有方向可调的移动充电器(DMC,directional mobile charger)后,全向充电路径规划可转化为无线可充电有向传感网(WRDSN,wireless rechargeable directed sensor network)的有向充电路径规划。为了实现这个目标,提出启发式算法,即DMC将局部传感器节点划分为若干个局部子集,并初始化一条运动路径。随后将WRDSN中DMC的轨迹问题转化为一个充电效用最大化问题,并从全局视角优化初始路径。最后,数值结果表明,该算法的性能优于基准算法。 Most of the current research about wireless rechargeable sensor networks (WRSNs) only focus omnidirectional charging, which has a lot of limitations in real environment. With the introduction of a mobile chargers with adjustable direction, the omnidirectional charging path planning can be transformed into the directed charging path planning of wireless rechargeable directed sensor network (WRDSN). To achieve this goal, the authors proposed a heuristic algorithm, i.e. the sensor nodes are partitioned into several local subsets by DMC, and a motion path is initialized. Then the DMC cruise problem in WRDSN is transformed into a charging utility maximization problem, and path is optimized from a global perspective. A large number of numerical results show that our proposed algorithm outperforms some existing algorithms.
作者 何聪 郭松涛 HE Cong;GUO Songtao(College of Electronic and Information Engineering, Southwest University, Chongqing 400715, P. R. China)
出处 《重庆大学学报(自然科学版)》 EI CAS CSCD 北大核心 2019年第1期88-97,共10页 Journal of Chongqing University
基金 国家自然科学基金资助项目(61772432 61772433)~~
关键词 可充电传感器网络 启发式算法 局部子集 全局视角 wireless rechargeable sensor networks heuristic algorithm local subsets global perspective
  • 相关文献

参考文献4

二级参考文献147

  • 1王玮.建立21世纪无所不在的网络社会——浅谈日本u-Japan及韩国u-Korea战略[J].信息网络,2005(7):1-4. 被引量:11
  • 2宫野,计算物理,1987年,275页
  • 3裴鹿成,蒙特卡罗方法及其在粒子输运问题中的应用,1980年
  • 4冯康,数值计算方法,1978年,82页
  • 5Anastasi G, Conti M, Di Francesco M, Passarella A. Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks, 2009,7(3):537-568. [doi: 10.1016/j.adhoc.2008.06.003].
  • 6Fafoutis X,Vuckovic D, Di Mauro A, Dragon N, Madsen J. Energy-Harvesting wireless sensor networks. In: Proc. of the 9th European Conf. on Wireless Sensor Networks (EWSN). Trento: University of Trento,2012. 84-85. http://forskningsbasen.deff.dk/ Share.extemal?sp=See26122e-f4de-47d8-a73b-0da9d064071 f&sp=Sdtu.
  • 7Kurs A, Karalis A, Moffatt R, Joannopoulos JD, Fisher P, Soljacic M. Wireless power transfer via strongly coupled magnetic resonances. Science, 2007,317(5834):83-86. [doi: 10.1126/science.l 143254].
  • 8Smith J. WISP Wiki. 2014. http://www.seattle.intel-research.net/wisp/.
  • 9Shearer JG. Powercast. 2014. http://www.powercastco.com.
  • 10Heins T. Powermat. 2014. http://www.powermat.com.

共引文献202

同被引文献15

引证文献3

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部