电子科技 ›› 2022, Vol. 35 ›› Issue (7): 14-21.doi: 10.16180/j.cnki.issn1007-7820.2022.07.003

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能量收集异构定向传感网络的最小成本目标覆盖

刘永攀,王然   

  1. 杭州电子科技大学 计算机学院,浙江 杭州 310018
  • 收稿日期:2021-03-05 出版日期:2022-07-15 发布日期:2022-08-16
  • 作者简介:刘永攀(1993-),男,硕士研究生。研究方向:无线传感器网络。|王然(1983-),男,博士,讲师。研究方向:机器学习、社交网络安全、无线传感器网络等。
  • 基金资助:
    浙江省重点研发项目(2020C01067)

Minimum Cost of Heterogeneous Directional Sensor Networks for Target Coverage

LIU Yongpan,WANG Ran   

  1. College of Computer Science and Technology,Hangzhou Dianzi University,Hangzhou 310018,China
  • Received:2021-03-05 Online:2022-07-15 Published:2022-08-16
  • Supported by:
    Key R&D Program of Zhejiang(2020C01067)

摘要:

部署成本是评价能量收集定向传感网络的重要指标。在考虑网络连通性和传感器异构性的前提下,针对能量收集异构定向传感网络的最小成本目标覆盖问题,文中提出了启发式二阶段选择算法(HTS算法)。通过构建高效候选点集合来降低选点的时间复杂度,并使用效用函数对每种部署方式进行评价。在以最佳部署方式部署完监测节点之后,采用消除冗余节点以及收缩监测范围的方式进一步节省成本。仿真结果表明,与已有的定向目标覆盖算法相比,HTS算法能够降低传感网络10%~18%的部署成本。

关键词: 能量收集, 定向传感网络, 连通性, 最小成本, 异构, 太阳能充电, 目标覆盖, 网络部署

Abstract:

Deployment cost is an important indicator for evaluating the energy harvesting directional sensor network. Considering the network connectivity and the heterogeneity of sensors, the study proposes a heuristic two-stage selection algorithm (HTS algorithm) for the minimum cost target coverage problem of the energy-harvesting heterogeneous directional sensor network. The time complexity of selecting points is reduced by constructing a set of efficient candidate points, and the utility function is used to evaluate each deployment method. After sensing nodes are deployed in the best deployment method, eliminating redundant nodes and shrinking the sensing scope can further save costs. The simulation results show that the HTS algorithm can reduce the deployment cost of the sensor network by 10% to 18% when compared with the current directional target coverage algorithm.

Key words: energy harvesting, directional sensor network, connectivity, minimum cost, heterogeneous, solar charging, target coverage, network deployment

中图分类号: 

  • TP393