Noise Reduction Filters for Wireless Sensor Networks

무선센서네트워크에서의 노이즈 감쇄필터

  • Seo, Kyung-Ryong (Division of Electronics, Computer and Telecommunication Engineering Pukyong National University)
  • 서경룡 (부경대학교 전자컴퓨터정보통신공학부)
  • Published : 2007.09.25

Abstract

In the sensor networks, the first step in the signal processing is noise reduction. It is obvious that the noise in the sensing data by sensor nodes have a bad effect on the collaborative signal processing results. In this paper we propose noise reduction filters for the wireless sensor networks. The proposed filters use only relative distance information between sensor nodes thus it is very simple in complexity and easy to implement. Also it will be able to extend the sensor network life time by adjusting communication radius of sensors within proper limit to reduce consuming power. Various simulation results are presented to verify our approaches, we observed that the proposed filters can reduce the effect of the noise on the sensing data.

센서네트워크에서 신호처리를 수행하는 경우 노이즈 감쇄문제는 우선적으로 해결되어야 할 과제이다. 센서노드가 수집한 데이터에 포함된 노이즈가 센서네트워크의 신호처리 결과에 악영향을 미치는 것은 자명하다. 본 논문에서는 무선센서네트워크에서 사용할 수 있는 노이즈 감쇄 필터를 제안한다. 제안된 필터는 센서노드간의 상대적인 거리정보만을 사용하여 동작하며 구성이 단순하며 구현도 쉽다. 또한 센서노드의 통신반경을 적절한 범위에서 조정하여 전력소모를 줄이고 전체 네트워크의 수명을 연장할 수 있다. 다양한 조건에 대하여 성능평가를 수행하여 제안된 필터가 수집된 데이터에 대한 노이즈 영향을 감소시키는 것을 확인 하였다.

Keywords

References

  1. Feng Zhao, and Leonidas Guibas, Wireless Sensor Networks, Elsevier, 2004
  2. D. Ganesan, D. Estrin, and J, Heideman, 'DIMENSIONS: Why do we need a new data handling architecture for sensor networks?' Proceedings of IEEE/ACM HotNets-I, Princeton, NJ, October 2002
  3. L. Ferrigno, and A. Pietrosanto, 'A Low Cost Visual Sensor Node for BlueTooth Based Measurement Networks,' Instrumentation and Measurement Technology Conference, Como, Italy, 2004
  4. H.Q. Li, J.K. Wu, X.M. Bao, D.L. Cheng, and L. Dong, 'Real-Time Activity Monitoring Using Wireless Wearable Sensors,' Int. Conf. Pervasive Systems and Computing, Las Vegas, USA, 2005
  5. S. Gneriwal, C. Han, and M. Srivastava, 'Going beyond Nodal Aggregation in Sensor Networks,' NESL Technical Report, University of California at Los Angeles, August 2004
  6. N. Patwari, Alfred O. Hero III, Matt Perkins, and Neiyer S. Correal, 'Relative Location Estimation in Wireless Sensor Networks,' IEEE Trans. on Signal Processing, Vol. 51, No. 8, August 2003
  7. Jim Chou, Dragan Petrovic, and Kannan Ramchandran, 'A distributed and Adaptive Signal Processing Approach to Reducing Energe Consumption in Sensor Networks,' in IEEE INFOCOM 2003, San Francisco, USA, Apr. 2003
  8. K. Chintalapudi and R. Govindan, 'Localized Edge Detection in Sensor Fields,' Ad-hoc Networks Journal, 2003
  9. R. nowak, and U. Mitra, 'Boundary Estimation in Sensor Networks: Theory and Methods,' Proceedings of the First International Workshop on Information Processing in Sensor Networks, April 2003
  10. D. Devaguptapu and B. Krishnamachari, 'Applications of Localized Image Processing Techniques in Wireless Sensor Networks,' SPIE's 17th Annual International Symposium on Aerospace/Defense Sensing, Simulation, and Controls, (Aerosense '03), Orlando, Florida, April 2003
  11. R. Gonzalez and R. Woods, Digital Image Processing, Addison-Wesley Publishing Company, 1992
  12. S. Slijepcevic, S. Megerian, and M. Potkonjak. 'Charaterization of location error in wireless sensor networks: analysis and applicaitons.' In Int. Workshop Inf. Process. Sensor Networks(IPSN), 2634, pp. 593-608, 2003
  13. D. Niclules, and B. Nath. 'Ad hoc positioning system (APS) using AoA.' inIEEE INFOCOM, San Franciso, pp.1734-1743, 2003
  14. K. Yedavalli, B, Krishnamachari, S. Ravula, and B. Spinivasan, 'Ecolocation: a sequence based technique for RF localization in wireless sensor networks,' in Proceedings of the Fourth Int. Symposium on Information Processing in sensor Networks, 2005