Search

In the application of wireless sensor networks, It is very important to determine the position of nodes themselves. In recent years, the research of node localization in wireless sensor networks based on intelligent optimization algorithm has attracted much attention. Sparrow search algorithm is a new intelligent optimization algorithm. In this paper, it is applied to the localization of wireless sensor network for the first time, and proposed a novel WSNs localization algorithm. The simulation results show that, compared with similar algorithms, the algorithm proposed in this paper not only achieves higher localization accuracy, but also shows better anti ranging error performance, and requires fewer anchor nodes for the same localization accuracy.

Conventional multi-view video coding (MVC) requires high encoding complexity and high rate data transmission from cameras to a joint encoder. Distributed coding theories guarantee that low complexity and independent encoders can achieve similar coding efficiency as traditional methods. However, there is still a big performance gap between current distributed multi-view video coding (DMVC) schemes and conventional schemes. In this paper, we propose a novel distributed residual coding framework for multi-view video with joint motion vector projection (MVP) and 3-D warping. At the encoder, by means of the improved block classification, distributed residual coding is performed effectively to help reduce temporal redundancy. At the decoder, a joint motion vector projection and 3-D warping method is proposed to generate the candidates of side information and two binary fusion masks. Finally, we employ a novel fusion criterion with relation to the reliability of side information acquisition measures. Experimental results show that the proposed DMVC framework has achieved both side information quality and rate distortion performance improvement.