دانلود رایگان مقاله انگلیسی بازیابی داده های پراکنده با استفاده از بهینه سازی ارتوگنال تطبیقی برای WSN ها - الزویر 2017

Abstract

Compressed Sensing based recovery algorithms are bounded by limitations such as recovery error and high computational requirements. This work presents a novel algorithm based on Orthogonal Matching Pursuit algorithm for efficient and fast data recovery in wireless sensor networks. The proposed algorithm significantly reduces the number of iterations required to recover the original data in a relatively small interval of time. Simulations show that the proposed algorithm converges in a short interval of time with significantly better results as compared to the existing data recovery approaches in wireless sensor networks.

6. Conclusion

This work presents an Optimized OMP algorithm for efficient and fast data recovery in WSNs. Selecting correlated columns helps to reduce the number of iterations required to recover the original data in a relatively small interval of time. Simulation results show that the proposed algorithm has better accuracy, computational complexity and fast recovery as compared to the existing recovery algorithm, specifically OMP and TOMP. The proposed OOMP converges quickly without affecting the quality of the recovered signal. Future Work: We continue to extend our work in the direction of exploring recovery algorithms for small sized WSNs where the traditional recovery algorithms fail to give accurate results. Targeting the matrix completion problem, we aim to devise a reconstruction algorithm for such small scale WSNs where algorithms such as the proposed OOMP fail to achieve accurate results.