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  • 标题:An EfficientandScalable Multi Frequency Scheduling to Eliminating Interference Links in Wireless Sensor Networks
  • 本地全文:下载
  • 作者:P. Vasntha ; Y.Chitti Babu ; Dr .P. Harini
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:4
  • 页码:177-181
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:A wireless sensor consists of a small processor, memory, power, sensing and transceiver units. Additionally, a sensor can have location finding system, mobilizer and a power generator which are application dependent sub-units [5]. The size and weight of a sensor limits the processing capability, amount of memory and the amount of power that it can store. A Major part of power consumed by a sensor is used to run the transceiver circuitry. As, the transmission range of a sensor increases the power consumed by the transceiver also increases. Since they have limited transmission range sensors together form a multi-hop radio network to accomplish communication amongst themselves. Collisions occur in a wireless network when multiple nodes simultaneously transmit to the same node over the same channel or a receiver is in the transmission range of another communication taking place over the same channel. Such collisions waste resources (e.g. bandwidth and energy) as well as increases data latency and hence they are undesirable. For broadcast and convergecast to work in a collision-free manner. In this paper we propose a CFCSA(Collision-Free Converge casting Scheduling Algorithm), an efficient spanning tree for data collection, transmission and allocating channels in wireless communication. We also evaluate the performance of various channel assignment methods of multifrequency scheduling to eliminate most of the interference. The spanning tree constructed shows significant improvement in scheduling performance over different deployment densities.
  • 关键词:Wireless Sensor Networks. Converge Casting;Channel Frequencies;Power Control;Network Trees
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