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  • 标题:Centralizing Sensor Network in the Lush to Improve the Quality
  • 本地全文:下载
  • 作者:V.Swathi Kumari ; M. Prasasnthi ; Abdul Vahed
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2014
  • 卷号:18
  • 期号:2
  • 页码:69-72
  • 出版社:Seventh Sense Research Group
  • 摘要:Major issue in Wireless sensor networks is Localization and the study is done over years. With the real time experience GreenOrbs, to know about the climatic condition in the forest; we are unable to get the proper data sitting remotely with the current technique employed for knowing weather conditions at forest. In our proposed work, we use CDL, a Combined and Differentiated Localization approach that exploits rangefree approach using Received Signal Strength Indicator (RSSI). Noticeable change observed with the new approach is that better ranging quality when compared with the existing approach. CDL in addition incorporates local filtration, virtualhop localization and ranging quality aware calibration. This CDL is evaluated with many simulated results and thus came to an conclusion for incorporating it in the real world to have a better ranging in forest area to know the condition remotely based on the technology. Simulated results conclude that the designed CDL gives better ranging and effective results when compared with the existing approach.
  • 关键词:Localization; GreenOrbs; Received Signal Strength Indicator; Combined and Differentiated Localization
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