Redundancy reduction in wireless sensor networks using SVD-QR

In densely deployed wireless sensor networks, not only does the data of one sensor node have self-similarity, but the data from adjacent sensor nodes also have cross-similarity. Therefore, it is clear that there exists highly redundancy in the collected data from sensor nodes in the neighborhood. Due to the intrinsic properties wireless sensor networks have, e.g., energy constraint, bandwidth limitation, this kind of information redundancy impacts the whole networks in a negative way. In this paper, we propose to use singular-value-QR Decomposition (SVD-QR) to reduce the redundancy in wireless sensor networks