期刊文献+

基于生物免疫机制的无线传感执行网络协同方法 被引量:1

A COLLABORATIVE METHOD BASED ON BIOLOGICAL IMMUNE MECHANISM FOR WIRELESS SENSOR AND ACTUATOR NETWORK
在线阅读 下载PDF
导出
摘要 以无线传感执行网络为对象,借鉴生物免疫机制,以能量高效、任务高效协作为目标,首先建立无线传感执行网络协同问题与生物免疫机制的类比模型,进而分别针对传感器—执行器协同及执行器—执行器协同问题,提出基于生物免疫机制的传感器—执行器自适应路由协同算法,及执行器—执行器任务协同算法,并给出算法执行流程。最后,通过仿真验证了方法的有效性与优越性。仿真结果表明,采用所提出的协同方法,不但优化了WSAN信息传递路径,而且降低了网络能耗,同时改善了能量均衡指标。 Taking the wireless sensor and actuator networks as the object, the biological immune mechanism as the reference, and the energy efficiency and efficient task collaboration as the purpose, in this paper we first build the analogy model of the wireless sensor and actuator networks problem in contrast with biological immune mechanism, then further present the biological immune mechanism-based adaptive sensor-actuator routing collaboration algorithm for the collaborations of sensor-actuator and actuator-actuator problems respectively, as well as give the implementation process of the algorithm. Finally the effectiveness and advantage of the proposed method are validated through simulation. Simulation results show that to employ the collaboration method proposed can optimise the information transmission path in WSAN, and can reduce networks energy cost as well, besides, the energy equilibrium index is improved too.
作者 成国营 王艳 Cheng Guoying;Wang Yan(Internet of Things, Jiangnan University, Wuxi 214122 , Jiangsu, China)
出处 《计算机应用与软件》 CSCD 2016年第6期122-125,245,共5页 Computer Applications and Software
基金 国家高技术研究发展计划项目(2014AA041505) 江苏省产学研前瞻性项目(BY2013015-15)
关键词 生物免疫 协同 自适应 能量均衡 Immune system Collaboration Adaptive Energy equilibrium
  • 相关文献

参考文献16

二级参考文献43

  • 1姜华,郑春雷,刘海涛.无线传感器网络的系统建模与仿真实现[J].系统工程与电子技术,2007,29(1):92-95. 被引量:8
  • 2Chen B,Jamieson K,Balakrishnan H,et al.Span:an energy-efficient coordination algorithm for topology maintenance in Ad Hoc wireless networks[J].ACM Wireless Networks Journal,2002,8(5):85-96.
  • 3Xu Y,Bien S,Mori Y,et al.Topology control protocols to conserve energy in wireless Ad Hoc networks[J].IEEE Trans.on Mobile Computing,2003,23(1):174-192.
  • 4Cerpa A,Estrin D.ASCENT:Adaptive self-configuring sensor networks topologies[J].IEEE Trans.on Mobile Computing,2004,3(3):272-285.
  • 5He T,Blum B M,Stankovic J A,et al.AIDA:Adaptive application independent data aggregation in wireless sensor[J].ACM Trans.on Embedded Computing System,2004,3(2):426-457.
  • 6Bars A,Ozgur B A.Immune system based distributed node and rate selection in wireless sensor networks[C] ∥The First International Conference on Communications and Networking in China,2006:120-127.
  • 7Vuran M C,Akan O B,Akyildiz I F.Spatio-temporal correlation:Theory and applications for wireless sensor networks[J].Computer Networks Journal,2004,45 (3):245-261.
  • 8Vuran M C,Akyildiz I F.Spatial correlation-based collaborative medium access control in wireless sensor networks[J].IEEE/ACM Trans.on Networking,2006,14(2):316-329.
  • 9Berger J O,Oliviera V,Sanso B.Objective bayesian analysis of spatially correlated data[J].Journal of the American Statistical Asscliation,2001,96(456):1361-1374.
  • 10Santini S,Romer K.An adaptive strategy for quality-based data reduction in wireless sensor networks[C] ∥Proc.of the 3rd International Conference on Networked Sensing Systems,2006:29-36.

共引文献22

同被引文献7

引证文献1

二级引证文献2

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