首页    期刊浏览 2024年07月05日 星期五
登录注册

文章基本信息

  • 标题:RSSI and LQI Data Clustering Techniques to Determine the Number of Nodes in Wireless Sensor Networks
  • 本地全文:下载
  • 作者:Yanwen Wang ; Ivan G. Guardiola ; Xiaoling Wu
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/380526
  • 出版社:Hindawi Publishing Corporation
  • 摘要:With the rapid proliferation of wireless sensor networks, different network topologies are likely to exist in the same geographical region, each of which is able to perform its own functions individually. However, these networks are prone to cause interference to neighbor networks, such as data duplication or interception. How to detect, determine, and locate the unknown wireless topologies in a given geographical area has become a significant issue in the wireless industry. This problem is especially acute in military use, such as spy-nodes detection and communication orientation systems. In this paper, three different clustering methods are applied to classify the RSSI and LQI data recorded from the unknown wireless topology into a certain number of groups in order to determine the number of active sensor nodes in the unknown wireless topology. The results show that RSSI and LQI data are capable of determining the number of active communication nodes in wireless topologies.
国家哲学社会科学文献中心版权所有