Rapid growth in demand for spectrum resources and technology expansion in wireless communication systems such as satellite communication networks and upcoming 5G networks has led us to investigate the best cognitive radio network scheme towards achievements of energy efficiency in wireless communication networks for cooperative spectrum sensing. In this paper, we introduce a doubledeck cluster cooperative relay assistance model in hybrid spectrum sharing for cognitive radio networks. This proposed model enables the attainment of energy efficiency by optimizing cooperative secondary users in their respective cluster groups. According to the design of this model, we apply the power allocation scheme under mathematical analysis based on its power constraints. Normalized energy consumptions and amplifying gains are achieved and assessed for both network scenarios when cognitive relays are used and not used in the network. Simulation results show that there is a good performance on the energy efficiency of our proposed scheme compared to a traditional scheme.
Wireless sensor networks are an important part of the Internet of Things (IoT). For energyconstrained wireless sensor networks, research on topology control with energy saving is a difficult problem. The influence of topology on the overall performance of the network plays an important role, and the topology control algorithm plays a decisive role in the formation of the topology. Based on the research of hierarchical topology control algorithm, an improved algorithm based on energy-saving clustering algorithm (CAEC) is proposed. The algorithm changes the cluster area and performs communication stability by selecting cluster head nodes. The simulation experiments show that the clustering process of the CAEC algorithm is more reasonable than the LEACH algorithm, which prolongs the survival time of the network. The number of surviving nodes in the monitoring area, network energy consumption, and BS receiving data volume are different degrees of improvement during our study.
In our previous work, a node self-localization algorithm based on virtual central node (VCN) for wireless sensor network (WSN) is proposed. This method is adapted to WSN that anchor nodes present a uniform distribution in three dimensional spaces. During the localization process, by deducing a 3D special node, which is called virtual central node, unknown nodes can compute their own positions automatically. In this paper, a comprehensive performance analysis of VCN is presented to explore its performances. Also comparisons with classic DV-Hop and Centroid algorithms are made under different simulation environments. Two aspects of the performance comparison are addressed: positioning accuracy and computational time. VCN and Centroid algorithm have the similar estimation accuracy, which is much better than that of DV-Hop, but VCN costs the least localization time of the three.
Index Terms -WSN, three dimensional space, virtual central node (VCN), performance analysis
At present,Chinese third-generation communications technology (3G) has been applied, and global internet of things technology development has been put on the agenda. The fourth-generation communication technology will be discussed based on the wireless communication field, mainly introducing the development situation of fourth-generation communication system. In the paper, the key technology will be discussed in detail, and is involved in domestic network development. Finally, the fourth-generation communication technology in the network is prospected.
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