系统工程与电子技术

• 通信与网络 • 上一篇    下一篇

带有群体智能的能量感知分层数据转发机制

甄岩1,2,3, 李兴1,2, 王汝言1,2   

  1. (1. 重庆邮电大学通信与信息工程学院, 重庆 400065;
    2. 重庆高校市级光通信与网络重点实验室,重庆 400065;
    3. 国网信息通信产业集团有限公司, 北京100031)
  • 出版日期:2017-08-28 发布日期:2010-01-03

Swarm intelligence based energy-aware hierarchical packet forwarding mechanism

ZHEN Yan1,2,3, LI Xing1,2, WANG Ruyan1,2   

  1. (1. School of Telecommunication and Information, Chongqing University of Posts and Telecommunication,Chongqing 400065, China; 2. Optical Communication and Network Key Laboratory of Chongqing,Chongqing 400065, China; 3. State Grid Information & Telecommunication Co. Ltd, Beijing 100031, China)
  • Online:2017-08-28 Published:2010-01-03

摘要:

无线传感器网络层次型数据转发过程中,分层和路由构建是两个典型的待优化问题。为了有效延长网络生存期,提出了一种能量感知的分层数据转发机制。利用粒子群优化算法,结合多目标函数进行智能搜索,通过粒子进化不断地优化簇头选取和路由构建,以低复杂度的方式得到分层部署的网络结构,进而实现了能量有效的数据转发。数值结果表明所提机制与现有机制进行对比,可以显著地提高网络能量使用效率,改善网络性能,延长网络生存期。

Abstract:

As to the process of hierarchical packet forwarding in wireless sensor network, clustering and routing are two well-known optimization problems. To effectively extend the network lifetime, an energy-aware hierarchical packet forwarding mechanism is proposed. By introducing the particle swarm optimization, the proposed mechanism can dynamically select the optimal cluster head (CH) and forwarding routing. In particular, during the optimization process, particle can constantly be evolved to intelligently search the optimal CHs and routing by combining with the multi-objective function. Owing to the hierarchical deployment of network structure with a low complexity pattern, energy efficient packet forwarding can be achieved. The numerical results demonstrate that the proposed mechanism compared with the existing mechanism, can significantly enhance the energy utilization, improve the network performance, and prolong the network lifetime.