Data Acquisition In Sensor Networks Research Articles

Energy-Saving Data Acquisition Model of Wireless Sensor Network Based on Nonlinear Algorithm

Wireless sensor network significant data acquisition has a high cost, long completion time, and low accuracy. This paper adopts a sensor network data acquisition method based on a nonlinear algorithm to solve the above problems. In this paper, a distributed data acquisition method based on nonlinear regression is established by combining the time series relationship of data. First, this paper uses nonlinear regression analysis technology to establish the sensing data model and retain the characteristics of the sensing data. This makes the node pass only the parametric data of the regression model. This paper uses this method to replace the transmission of actual monitoring sensory data information. Experiments show that this method can effectively reduce data redundancy and network traffic under any conditions. The method has been verified in practical WSN applications.

A Self-Powered Sensor Network Data Acquisition, Modeling, and Analysis Method for Cold Chain Logistics Quality Perception

It is of great practical significance to design a cold chain logistics temperature monitoring terminal with high performance, low power consumption, low cost, safety and reliability. Based on the theory of self-powered sensor network, this paper designs data acquisition, modeling and analysis methods for the actual needs of cold chain logistics transportation management and temperature monitoring problems, applying embedded technology, sensor technology, and wireless transmission technology to solve the problem of cold chain logistics. The logistics model is designed for cold chain logistics tracking, and D-Bus technology is introduced to solve the problem of communication between design data communication methods between different nodes, and filter redundant sensor data. During the simulation process, we first initialize the monitoring software, set the serial port parameter m_ctrlComm, then select the serial port through the m_choosecom serial port selection parameter and m_DataList serial port baud rate selection parameter, the experiment proves that the road matching can be well carried out, thus improving the accuracy and value of the trajectory. The experimental results show that about 15066 times of temperature data can be collected and transmitted, and the frequency of collecting and uploading temperature data reaches 900 seconds, which verifies the effectiveness of the cold chain logistics middleware and the practicability of the data error correction algorithm.

Design of Wireless Sensor Network Data Acquisition System via Health Sensor Based on Symmetric Encryption Algorithm

Abstract In order to improve the data collection effect of the wireless sensor network, a data collection system based on symmetric encryption algorithm is designed via health sensor. Upload the received data to the host via RS-232 to get the working mode and clock activity. The data acquisition circuit is designed with MSP430 module. The MapReduce programming model is used to complete data collection, a symmetric encryption algorithm is introduced, and a range data encryption query scheme with privacy protection function is designed. Apply it to the node data of the wireless sensor network to realize the secure data collection of the wireless sensor network. Experimental results show that the system has the advantages of high efficiency, large amount of data collection, and high residual energy of sensor network nodes.

Research on data fusion algorithm and anti-collision algorithm based on internet of things

Internet of Things is involved in all aspects of human life, work, health and social areas, which will have a significant impact on the future development of the global economic society. Perception and recognition technology is the basis of the Internet of things, and data fusion and anti-collision technology are the sensor network and radio frequency identification research focus. This paper focuses on the key technology of the sensing layer of the internet of things, that is, the data fusion of the sensor network and the multi-label anti-collision technology of the radio frequency identification system, which mainly includes the following work. This paper introduces the hierarchical architecture of the internet of things and its key technologies, and introduces the sensing and recognition technology of the internet of things, and expatiates the data fusion model and routing algorithm of the sensor network and the working principle and anti-collision problem of the RFID system. The improved clustering routing protocol Leach based on distributed data fusion effectively prolongs the lifetime of the sensor network. A data fusion algorithm based on Gauss membership function has introduced, and the fusion technology and routing technology have combined to process the data, which improves the efficiency and accuracy of data acquisition in Sensor Networks. An efficient binary search anti-collision algorithm called AEBS, with unknown tag number estimation, which has proposed to recognize unknown tags in the range of reader’s function. Theoretical analysis and experimental simulation results show that the AEBS algorithm improves the efficiency and stability of the system identification and reduces the recognition time of the whole system.

Design of Data Acquisition System Based on Zigbee for Wireless Sensor Networks

With the continuous development of modern network technology, sensor technology and wireless communication technologies, the emergence and development of wireless sensor networks has been promoted. Among many wireless communication technologies, wireless communication technology featuring low power consumption, close proximity and low cost for ZigBee has attracted the research interest of researchers. Based on the current status of communication systems, based on the review and system analysis of wireless sensor networks, this paper proposes a ZigBee-based wireless sensor network data acquisition system, which avoids the reliability and installation of traditional wired sensor network data acquisition systems and shortcomings such as high maintenance costs and large wiring.

General Data Acquisition Platform for Wireless Sensor Network Based on CC2538

Wireless sensor networks are the hotspots of current research and have very wide application prospects. Its front end is a sensor that can sense and check the external world. This paper takes temperature and humidity as the research object, and builds a wireless sensor network data acquisition platform by combining the Internet of things and the WeChat public platform. The platform uses DHT11 temperature and humidity sensors and CC2538 sensor nodes to obtain the relevant data, through the server and database for data access. The combination with WeChat public platform not only allows us to view the temperature and humidity in the WeChat public, but also allows us to understand the environmental changes of the relevant detection area more conveniently and quickly. The effectiveness of the platform is also demonstrated by the collection of temperature and humidity data.

Autonomous path based data acquisition in sensor networks

Data acquisition in a wireless sensor network typically involves routing data from numerous sensors toward a static sink or a base station. To achieve this efficiently, mobile sink strategies have been investigated by numerous researchers. However, a thorough qualitative study of the mobile sink path has mostly been disregarded in the literature. As such no strong common qualitative measurement can be asserted regarding a particular technique against the others. This paper proposes a new technique based on the space filling curve which produces a mobile sink path for an arbitrarily network shape. Furthermore, we refine this technique such that a path can cover the network of different granularity. Finally we also propose a common path quality measurement which can be used to compare path qualities between various techniques.

Semantic System Architecture Based on Service Provider for Context Data Acquisition in Sensor Networks

Semantic System Architecture Based on Service Provider for Context Data Acquisition in Sensor Networks

A Service Composition for Personalized Data Acquisition in Sensor Networks

A Service Composition for Personalized Data Acquisition in Sensor Networks

Research on Wireless Sensor Network Based on Data Acquisition Technology

In this paper we use the wireless Android smart network to control data collection network of wireless sensor networks, and establish the wireless sensor network data acquisition model based on particle swarm layout algorithm, and design the data signal receiving algorithm by introducing wireless fence monitoring method. In order to verify the reliability and applicability of the algorithm, we compare the particle swarm layout algorithm with PSO, random distribution and genetic algorithm. Through experiments, data gathering integrity of particle swarm layout algorithm reaches 96%, the time of data acquisition is 1258 seconds, the iterative number is 12587 times. It is the best of the three algorithms. It provides a theoretical reference for the research on data acquisition and control technology of wireless sensor network.

Collection Tree Extension of Reactive Routing Protocol for Low-Power and Lossy Networks

This paper proposes an extension to reactive routing protocol, for efficient construction of a collection tree for data acquisition in sensor networks. The Lightweight On-Demand Ad hoc Distance Vector Routing Protocol-Next Generation (LOADng) is a reactive distance vector protocol which is intended for use in mobile ad hoc networks and low-power and lossy networks to build paths between source-destination pairs. In 2013, ITU-T has ratified the recommendation G.9903 Amendment 1, which includes LOADng in a specific normative annex for routing protocol in smart grids. The extension uses the mechanisms from LOADng, imposes minimal overhead and complexity, and enables a deployment to efficiently support “sensor-to-root” traffic, avoiding complications of unidirectional links in the collection tree. The protocol complexity, security, and interoperability are examined in detail. The simulation results show that the extension can effectively improve the efficiency of data acquisition in the network.