Papers by Keyword: Wireless Sensor

Abstract: The unmanned aerial vehicle (UAV) is a light weight flight system that can carry sensors and cameras for data collection. Tremendous excitement surrounds the use of UAVs because they can be deployed easily and rapidly for data collection; they also can be programmed to execute missions with high degrees of autonomy. For these reasons, UAVs hold promise in accelerating the collection of data in geophysical explorations. In this study, a UAV platform is explored for the collection of data from geophones deployed to measure the vibrations of a concrete slab foundation. The UAV is designed to drop a weight as a controlled energy source. Both the energy and location of the impulsive load are adjustable by the flight parameters of the UAV. The study adopts a time-domain analysis for source localization using the dense array of geophones

Abstract: In the early day of environment monitoring, the measurement is generally done through manual measurement from simple and analog instrument which suffer from the drawbacks like poor accuracy, need of human intervention, associated parallax errors and durability. The rapid development in electronic technology has made reliable integration of smart electronic sensors, processor, and communication device capable of monitoring environmental parameters more favorably. A system for ambient air condition monitoring has been developed as described in this paper. It is based on the embedded system, smart electronic sensor, commercial off-the-shelf (COTS) components, and the terminal monitor by the Graphical User Interface (GUI).

Abstract: LEACH is a classic wireless network routing protocol, the large energy consumption of LEACH cluster heads leads to the load imbalance of network nodes in order to shorten the life of network, the paper proposed an improved LEACH-M protocol to solve the problem, so that the shortest path between cluster heads and base station is formed, finally the NS2 simulation results show that the load balance of network is improved, and the lifetime of network is extended.

Abstract: In wireless sensor network, it is necessary to make effective prediction of sensor node’s data during its sleep period. In this paper a model of rational cubic spline weight function (SWF) neural network with linear denominator was established for sensor node’s temperature prediction. This kind of rational spline function is denoted by 3/1 rational splines. Then we trained and tested the network, the simulation results showed that, compared to the traditional BP neural network, the training speed is higher and the error is smaller. Therefore the prediction model can effectively predict the sensor’s temperature.

Abstract: The paper designed a safety monitoring network system which is composed of the wireless sensor network based on the emerging wireless communication technology.Tests indicate that the system runs well with small consumption and good mobility, and the data can be uploaded to host computer for real-time display and record so that it can provide effective help to quickly carry out rescue work.

Abstract: The paper studies the basic characteristics and the definition of the wireless sensor networks, the time synchronization of wireless sensor network and the algorithm of time synchronization in wireless sensor networks. This paper studies the RBS algorithm and its improved algorithm. The research results have practical significance to the rapid development of network and the future network.

Abstract: With the development of information economy, enterprise business environment has changed greatly. As a result, the traditional accounting business process cannot adapt to the need of the economic development. So we need to reform and reorganize the original business process based on the characteristics of the information environment, and contact enterprise accounting business process under the information environment, in order to meet the need of the development of the enterprise.

Abstract: This paper presents the design of a compact 2.45 GHz microstrip rectenna for wireless sensors’ power supply. In energy harvesting system, the ambient RF energy can be collected by the rectenna and converted to direct current, therefore, it can be applied to the power supply of low-power wireless sensor. Voltage doubling rectifier circuit and T-type microstrip impedance matching network are applied to this rectenna to increase the output voltage and the rectification efficiency. The antenna is fabricatied ​​by using double PCB board (FR4), and it is optimized by ADS to achieve the best performance. The measurement results show that the rectifier can reach the highest conversion efficiency of 78% when the load resistance is 320 Ω and the input power is 18 dBm. It also greatly improves rectenna’s conversion efficiency at lower input power when the input power is-20 dBm, which has great practical value for supplying low power consumption sensors.

Abstract: To the high maintenance cost for changing wireless sensor’s battery in Internet of Things (IoT), a hybrid ambient energy harvesting system for wireless sensor’s power supply is proposed. The system can collect the ambient RF energy, vibration energy and light energy, converts them into DC supply. This paper focuses on the analysis and design of the hybrid energy harvesting antenna, using a novel structure to combine three energy receivers in one antenna, which reduces the size and the cost effectively. The antenna operates at both 3G mobile frequency (1.9GHz) and 4G mobile frequency (2.6GHz), the measured input return loss is 24.3dB and 19.9dB, respectively.

Abstract: With advances in technology, Internet of things have been all over every aspect of our lives, renewable energy harvesting technologies will provide a better solution for the power supply of wireless sensors. This article outlines a variety of renewable energy, renewable energy equipment already, the advantages and disadvantages of renewable energy in the environment. Effective use of renewable energy will be the future hot research of energy development.