Validation of Sensing Data Based on Prediction and Frequency

예측 및 빈도 기반의 센싱데이터 신뢰도 판단 기법

  • Received : 2016.03.08
  • Accepted : 2016.03.30
  • Published : 2016.07.31


As wireless sensor networks become eligible as well as useful in several controled systems where surrounding environments are likely to be monitored, their stabilization become important research challenge. Generally, stabilization is mostly dependent on reliability of sensing value. To achieve such reliability in wireless sensor networks, the most of previous research work have tendency to deploy the same type of multiple sensor units on one node. However, these mechanisms lead to deployment problem by increasing cost of sensor node. Moreover, it may decrease reliability in the operation due to complex design. In order to solve this problem, in this paper, we propose a new validation scheme which is based on prediction and frequency value. In the proposed scheme, we take into exceptional cases account, for example, outbreak of fire. Finally, we demonstrate that the proposed scheme can detect abnormal sensing value more than 13 percent as compared to previous work through diverse simulation scenarios.


Wireless sensor networks;Reliability;Prediction;Frequency value


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Grant : BK21플러스

Supported by : 경상대학교