Trade Randomness for Structure in Double Blind Data Discovery in Wireless Sensor Networks
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    Abstract:

    Enabling anytime and anywhere random data access for the mobile sinks is an important solution to the problem in the large scale wireless sensor networks.However,the data discovery in large scale sensor networks faces a non-trivial challenge because of the double blindness between the data and the sinks.The existing schemes are not able to provide the high success rate and consume less energy at the same time.In this paper,the tradeoff between randomness and structure is explored.Based on random line walk scheme,three scalable and efficient data discovery methods are presented to solve the double-blindness.These methods utilize simple geometric property to construct the path of data cache and query and can work well without location.The extensive simulations,using ns-2 and theoretical analysis,have proven the efficient trade off between randomness and structure.

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杨金峰,石高涛,赵增华.无线传感器网络随机性与结构化折衷的双盲数据发现方法.软件学报,2011,22(zk1):93-101

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History
  • Received:May 02,2011
  • Revised:July 29,2011
  • Online: January 02,2012
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