东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (2): 162-165.DOI: -

• 信息与控制 • 上一篇    下一篇

基于WSN的灾难现场最优逃生路径规划

黄月,吴成东,董晶晶,贾子熙   

  1. (东北大学信息科学与工程学院,辽宁沈阳110819)
  • 收稿日期:2012-05-13 修回日期:2012-05-13 出版日期:2013-02-15 发布日期:2013-04-04
  • 通讯作者: 黄月
  • 作者简介:黄月(1985-),女,辽宁盘锦人,东北大学博士研究生;吴成东(1960-),男,辽宁大连人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(60874103).

WSNbased Optimal Path Planning for Escaping from Disaster Scene

HUANG Yue, WU Chengdong, DONG Jingjing, JIA Zixi   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2012-05-13 Revised:2012-05-13 Online:2013-02-15 Published:2013-04-04
  • Contact: HUANG Yue
  • About author:-
  • Supported by:
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摘要: 针对当前建筑灾难救援中存在的诸多亟需解决的问题,利用布设在建筑物内的无线传感器网络获取实时信息,根据灾难现场的全局环境信息及其变化趋势,建立灾难威胁模型.利用改进的蚁群算法DACA(Dijkstraantcolonyalgorithm)实现逃生路径规划:一方面有效利用Dijkstra算法的优点改进蚁群算法,另一方面通过改进信息素浓度更新机制来改进蚁群算法的性能.在动态的灾难环境中,该方法能够在建筑物处于紧急状态时给出优化的人员疏散策略,有效实现被困人员逃生和消防员营救的路径导航,减少人员伤亡,提高救援效率.

关键词: 无线传感器网络, 蚁群算法, 人员疏散, 路径规划, Dijkstra算法

Abstract: For many problems to be solved in the building disaster relief currently, a new approach was proposed to plan the escaping paths for people trapped in the building. In this method, a model of disaster threat was developed using the realtime information from the wireless sensor network laid in the building, including the global environmental information of disaster scenes and its changes. The conventional ant colony (AC) algorithm was improved by using the Dijkstra algorithm and the pheromone updating mechanism, thus optimal escaping paths were obtained using the improved AC algorithm. In the dynamic disaster environment, the proposed method can provide an optimal strategy for person evacuation, guiding the trapped people and firefighters, which can effectively reduce casualties and increase rescue efficiency.

Key words: wireless sensor network, ant colony algorithm, person evacuation, path planning, Dijkstra algorithm

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