$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Abstract AI-Helper 아이콘AI-Helper

By means of compressive sensing (CS) technique, this paper considers the collection of sensor data with spatiotemporal correlations in wireless sensor networks (WSNs). In energy-constrained WSNs, one-dimensional CS methods need a lot of data transmissions since they are less applicable in fully expl...

주제어

참고문헌 (36)

  1. Akyildiz I F, Su W, Sankarasubramaniam Y, et al., "Wireless sensor networks: a survey," Computer Networks, vol.38, no.4, pp. 393-422, March, 2002. 

  2. Mainwaring A., Polastre J.,Szewczyk R., et al.,"Wireless sensor networks for habitat monitoring," in Proc. of WSNA'02 pro. Of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, pp. 88-97, September 28-28, 2002. 

  3. Z. Xiong, A. Liveris, and S. Cheng, "Distributed source coding for sensor networks", IEEE Signal Processing Magazine, vol. 21, no. 5, pp. 80-94, September, 2004. 

  4. G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, "Energy conservation in wireless sensor networks: A survey," Ad Hoc Networks, vol. 7, no. 3, pp. 537-568, May, 2009. 

  5. D. L. Donoho, "Compressed sensing," IEEE Transactions Information Theory, vol. 52, no. 4, pp. 1289-1306, April, 2006. 

  6. E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Transactions Information Theory, vol. 52, no. 2, pp. 489-509, February, 2006. 

  7. E. Candes and T. Tao, "Near-optimal signal recovery from random projections: Universal encoding strategies?," IEEE Transactions Information Theory, vol. 52, no. 12, pp. 5406-5425, December, 2006. 

  8. E. J. Candes and M. B. Wakin, "An introduction to compressive sampling," IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 21-30, March, 2008. 

  9. Haupt J., Nowak R., "Signal reconstruction from noisy random projections," IEEE Transactions on Information Theory, vol. 52,no. 9, pp. 4036-4048, September, 2006. 

  10. Bajwa W U., Haupt J D., Sayeed A M, et al., "Joint source-channel communication for distributed estimation in sensor networks," IEEE Transactions on Information Theory, vol. 53, no. 10, pp. 3629-3653, October, 2007. 

  11. Luo C., Wu F., Sun J., et al., "Compressive data gathering for large-scale wireless sensor networks," in Proc. of 15th annual International Conf. on Mobile Computing and Networking, pp. 145-156, September 20-25, 2009. 

  12. Luo C., Wu F., Sun J., et al., "Efficient measurement generation and pervasive sparsity for compressive data gathering," IEEE Transactions on Wireless Communications, vol. 9, no. 12, pp. 3728-3738, December, 2010. 

  13. Wang J, Tang S, Yin B, et al., "Data gathering in wireless sensor networks through intelligent compressive sensing," in Proc. of IEEE INFOCOM, pp. 603-611, March 25-30, 2012. 

  14. Wang W, Garofalakis M, Ramchandran K.W., "Distributed sparse random projections for refinable approximation," in Proc. of the 6th International conference on Information processing in sensor networks, pp. 331-339, April 25-27, 2007. 

  15. Lee S., Pattem S., Sathiamoorthy M., et al., "Compressed sensing and routing in multi-hop networks," Usc Ceng Technical Report, 2010. 

  16. M. Sartipi and R. Fletcher, "Energy-efficient data acquisition in wireless sensor networks using compressed sensing," in Proc. of the 2011 Data Compression Conference, pp. 223-232, March 29-31, 2011. 

  17. Wu X, Xiong Y, Yang P, et al., "Sparsest Random Scheduling for Compressive Data Gathering in Wireless Sensor Networks," IEEE Transactions on Wireless Communications, vol. 13, no. 10, pp. 5867-5877, October, 2014. 

  18. Xiang L, Luo J, Vasilakos A., "Compressed data aggregation for energy efficient wireless sensor networks," in Proc. 8th Annual IEEE Communication Society Conf. on Sensor, Mesh and Ad Hoc Communications and Networks, pp. 46-54, June, 27-30, 2011. 

  19. Chen W, Wassell I J., "Optimized node selection for compressive sleeping wireless sensor networks," IEEE Transaction on Vehicular Technology, vol. 65, no. 2, pp. 827-836, February, 2015. 

  20. Chen W, Wassell I J., "Compressive sleeping wireless sensor networks with active node selection," in Proc. of IEEE Global Communications Conference, pp. 7-12, December 8-12, 2014. 

  21. Xiang L, Luo J, Rosenberg C., "Compressed data aggregation: Energy-efficient and high-fidelity data collection," IEEE/ACM Transactions on Networking., vol. 21, no. 6, pp. 1722-1735, December, 2013. 

  22. Chou C T, Rana R, Hu W., "Energy efficient information collection in wireless sensor networks using adaptive compressive sensing," in Proc. of IEEE 34th Conf. on Local Computer Networks, pp. 443-450, October 20-23, 2009. 

  23. G. Quer, R. Masiero, G. Pillonetto, et al., "Sensing, compression, recovery for WSNs: Sparse signal modeling and monitoring framework," IEEE Transactions on Wireless Communications, vol. 11, no. 10, pp. 3447-3461, October, 2012. 

  24. M. Leinonen, M. Codreanu, and M. Juntti, "Sequential compressed sensing with progressive signal reconstruction in wireless sensor networks," IEEE Transactions on Wireless Communications, vol. 14, no. 3, pp.1622-1635, March, 2015. 

  25. He J, Sun G, Li Z, et al.,"Compressive data gathering with low-rank constraints for Wireless Sensor networks," Signal Processing, vol. 131, no. C, pp. 73-76, February, 2017. 

  26. Gong B, Cheng P, Chen Z, et al., "Spatiotemporal compressive network coding for energy-efficient distributed data storage in wireless sensor networks," IEEE Communications Letters, vol. 19, no.5, pp. 803-806, May,2015. 

  27. Wang C, Cheng P, Chen Z, et al., "Practical spatiotemporal compressive network coding for energy-efficient distributed data storage in wireless sensor networks," in Proc. of IEEE 81st. Vehicular Technology Conference, pp. 1-6, May 11-14, 2015. 

  28. M. Leinonen, M. Codreanu, and M. Juntti, "Distributed correlated data gathering in wireless sensor networks via compressed sensing," in Proc. of Asilomar Conference on Signals, Systems and Computers, pp. 418-422, November 3-6, 2013. 

  29. Y. Rivenson and A. Stern, "Compressed imaging with a separable sensing operator," IEEE Signal Processing Letters, vol. 16, no. 6, pp. 449-452, June, 2009. 

  30. Duarte M F and Baraniuk R G., "Kronecker product matrices for compressive sensing," in Proc. of IEEE International Conference on Acoustics Speech and Signal Processing, pp. 3650-3653, March 14-19, 2010. 

  31. Duarte M F and Baraniuk R G., " Kronecker Compressive Sensing," IEEE Transactions on Image Processing, vol. 21, no. 2, pp. 494-504, February, 2012. 

  32. E. Candes and J. Romberg, "Sparsity and incoherence in compressive sampling," Inverse Problems, vol. 23, no. 3, pp. 969-985, April, 2007. 

  33. Yang X, Tao X, Dutkiewicz E, et al., "Energy-Efficient Distributed Data Storage for Wireless Sensor Networks Based on Compressed Sensing and Network Coding," IEEE Transactions on Wireless Communications, vol. 12, no. 10, pp. 5087-5099, October, 2013. 

  34. I. F. Akyildiz, M. C. Vuran, and O.B. Akan, "On exploiting spatial and temporal correlation in wireless sensor networks," in Proc. of WiOpt 2004: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, pp. 71-80, March 24-26, 2004. 

  35. Luo C, Sun J, Wu F., "Compressive Network Coding for Approximate Sensor Data Gathering," in Proc. of IEEE Global Telecommunications Conference, pp. 1-6, December 5-9, 2011. 

  36. M. A. T. Figueiredo, R. D. Nowak, and S. J. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," IEEE Journal of Selected Topics in Signal Processing, vol. 1, no. 4, pp. 586-597, December, 2007. 

저자의 다른 논문 :

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로