Limited battery power directly affects the performance and survival time of sensor networks. In this study, solar energy was used to provide additional energy for sensor nodes, and a clustering algorithm for heterogeneous wireless sensor networks (WSNs) based on a solar energy supply is proposed. A cluster head is selected on the basis of the self-replenishment state and the remaining energy of the nodes. A cluster-head selection mechanism and network layer multi-hop routing are adopted to balance the energy consumption of the network. A set of experiments showed that the proposed algorithm can effectively prolong the network lifetime, improve the stability and efficiency of the network, and balance the energy consumption compared with other algorithms under the same environmental energy supply.
Abstract:With the goal of addressing the issue of image compression in wireless multimedia sensor networks with high recovered quality and low energy consumption, an image compression and transmission scheme based on non-negative matrix factorization (NMF) is proposed in this paper. First, the NMF algorithm theory is studied. Then, a collaborative mechanism of image capture, block, compression and transmission is completed. Camera nodes capture images and send them to ordinary nodes which use an NMF algorithm for image compression. Compressed images are transmitted to the station by the cluster head node and received from ordinary nodes. The station takes on the image restoration. Simulation results show that, compared with the JPEG2000 and singular value decomposition (SVD) compression schemes, the proposed scheme has a higher quality of recovered images and lower total node energy consumption. It is beneficial to reduce the burden of energy consumption and prolong the life of the whole network system, which has great significance for practical applications of WMSNs.
The issue of video transmission for wireless multimedia sensor networks (WMSNs) was studied in this paper. Video applications were generally characterized by large data size and strong real-time requirement. However, nodes in WMSNs had limited resources and the quality of service for video applications was hard to ensure. This paper studied this problem and presented a cross-layer and multipath based video transmission scheme (CMVT). CMVT introduced the idea of differentiated service and multipath routing, and operated in both application layer and network layer. In application layer, different types of video frames were marked with different tags. Then in network layer these frames were identified by the tags and CMVT would forward them in different paths. Simulation results showed that, CMVT reduced the channel conflicts efficiently and balanced the power consumption of the network, which extended the network lifetime greatly. Also, it provided better video transmission quality
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