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计算机工程 ›› 2018, Vol. 44 ›› Issue (12): 129-133,139. doi: 10.19678/j.issn.1000-3428.0049062

• 移动互联与通信技术 • 上一篇    下一篇

基于时空关注的移动感知节点选择算法

郭慧,程良伦   

  1. 广东工业大学 计算机学院,广州 510006
  • 收稿日期:2017-10-25 出版日期:2018-12-15 发布日期:2018-12-15
  • 作者简介:郭慧(1992—),女,硕士,主研方向为移动互联网任务分配;程良伦,教授、博士
  • 基金资助:

    广东省重大科技专项(2015B010104005);广东省省级科技计划项目(2016B030301008,2014B090904079)

Spacetime-based Mobile Sensing Node Selection Algorithm

GUO Hui,CHENG Lianglun   

  1. School of Computer,Guangdong University of Technology,Guangzhou 510006,China
  • Received:2017-10-25 Online:2018-12-15 Published:2018-12-15

摘要:

针对移动互联网中移动节点选择忽略研究节点位置的关联性问题,利用移动节点代替固定节点作为感知设备,提出一种移动节点选择算法。该选择算法根据检测节点的历史移动轨迹预测其未来在该周期内的移动轨迹,并依据移动感知节点轨迹关联有效性选择最优的参与者集合。仿真结果表明,当感知节点的个数相同时,该算法覆盖率最大,优于部分周期参与感知选择算法及随机节点选择算法,将其应用于碳检测领域,可提高感知节点覆盖率

关键词: 移动互联网, 节点选择, 轨迹预测, 时空关注, 移动感知

Abstract:

The spacetime of the node is neglected when the mobile sensing node is chosen in mobile Internet.Aiming at this problem,based on the use of mobile sensing nodes instead of fixed sensing nodes as the sensing devices,this paper proposes a mobile node selection algorithm to study the node selection in mobile Internet.The selection algorithm is divided into two steps.Firstly,the algorithm gives a trajectory prediction of the detection node in one period according to its historical movement trajectory.And then it selects the optimal set of participants according to the relevance of the mobile sensing node trajectory association.The simulation results show that,compared with the partial-period participation sensing selection algorithm and the random node selection algorithm,the proposed algorithm has the largest coverage when the number of sensing nodes is the same.The algorithm can be applied to the field of carbon detection to improve the coverage.

Key words: mobile Internet, node selection, trajectory prediction, spacetime, mobile sensing

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