Since wireless sensor networks have limited energy, the key issue is how to study the network by reducing the energy consumption and prolonging the network life cycle. Therefore, this paper presents the weighted spanning tree algorithm on the basis of LEACH (WST-LEACH). Firstly, the selection of cluster heads are not only completely random, but also giving comprehensive consideration of the remaining energy, the distribution density of nodes and the distance from cluster heads to the base station; Secondly, it establishes a Weighted Spanning Tree through all the cluster heads, the calculation of the weight value in the weighted spanning tree contains factors such as remaining energy of the cluster head, distribution of surrounding nodes, and the distance to the other cluster heads, then the data is sent to the base station along this tree after being integrated. It optimizes the data transmission path and reduces the energy consumption. Simulation results show that WST-LEACH reduces the energy consumption, has higher efficiency and can extend the network lifetime as well.

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Abstract. The buildings provide a significant contribution to total energy consumption and CO2 emission. It has been estimated that the development of an intelligent power consumption monitor and control system will result in about 30% savings in energy consumption. This design innovatively integrates the advanced technologies such as the internet of things, the internet, intelligent buildings and intelligent electricity which can offer open, efficient, convenient energy consumption detection platform in demand side and visual management demonstration application platform in power enterprises side. The system was created to maximize the effective and efficient the use of energy resource. It was development around sensor networks and intelligent gateway and the monitoring center software. This will realize the highly integration and comprehensive application in energy and information to meet the needs with intelligent buildings

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Abstract-A plasmonic induced transparency (PIT) structure is proposed and numerically investigated using the finite difference time domain (FDTD) method, which is achieved by the destructive interference between two graphene nanoribbon resonators and a bus waveguide. The common three-level atom system is used to explore the physical origin of the PIT behavior. The simulation results show that the PIT effect at different modes can be excited or suppressed by choosing the proper coupling position of the resonators. The peak and bandwidth of the transparent window are controlled by the coupling distance between the resonators and the bus waveguide, and the position of the transparent window can be freely tuned by adjusting the chemical potential of graphene. The proposed PIT structure may offer a new avenue for novel integrated optical switching and slow-light devices in THz and mid-infrared frequencies.

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