Design of Urban Vehicle Dynamic and Real-Time Navigation System Based on WSNs, GPS, and GPRS Techniques

2013 ◽  
Vol 765-767 ◽  
pp. 3291-3294
Author(s):  
Cheng Lin Li ◽  
Zhi Yong Jiang
Keyword(s):  
Real Time ◽  
Global Positioning System ◽  
Navigation System ◽  
Traffic Congestion ◽  
Road Construction ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
General Packet Radio Service ◽  
Vehicle Navigation System ◽  
Global Positioning

Currently, the traffic congestion is a significant problem encountered in urban development, which should be resolved depending primarily on the management and deployment under the circumstance that road construction isn't able to keep the pace of automobile growth. WSNs (Wireless sensor networks), made up of numerous sensor nodes, form a multi-hop and self-organizing cellular system by wireless communication, which can realize real-time monitoring and collecting environmental information by cooperation. In this paper, a design of real-time and dynamic city vehicle navigation system is presented based on WSNs, GPS(Global Positioning System), and GPRS(General Packet Radio Service) techniques..

Solving the Grid-to-Ground Problem when Using High Precision GNSS in Archaeological Mapping

2014 ◽  
Vol 2 (2) ◽  
pp. 138-143 ◽  
Author(s):  
William (Fred) Limp ◽  
Adam Barnes
Keyword(s):  
Real Time ◽  
High Precision ◽  
Global Positioning System ◽  
Navigation System ◽  
Survey Methods ◽  
Archaeological Sites ◽  
Positioning System ◽  
Global Satellite Navigation System ◽  
Satellite Navigation System ◽  
Global Positioning

AbstractIncreasingly, high-precision GPS/GNSS (global positioning system/global satellite navigation system) based real-time-kinematic methods are being used in the mapping of archaeological sites. However, when utilizing high-precision satellite-based methods for archaeological location purposes, there is a significant but usually unanticipated problem that must first be addressed if accurate measurements are to be made. Simply put, unless proper correction methods are used, horizontal distances between two locations determined by the GNSS method will differ from the measurements that are made by traditional survey methods. This difference between the two measurements is often referred to as the grid-to-ground problem. This article provides a process to address this problem.

scholarly journals A Wireless and Real-Time Monitoring System Design for Car Networking Applications

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Li Wenjun ◽  
Zhong Yiming ◽  
Li Wenbin
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Global Positioning System ◽  
Positioning System ◽  
General Packet Radio Service ◽  
Pressure Monitoring ◽  
Tire Pressure ◽  
Vehicle Data ◽  
Global Positioning ◽  
Tire Pressure Monitoring System

We described a wireless and monitoring system to obtain several classes of vehicle data and send them to the server via General Packet Radio Service (GPRS) in real-time. These data are consisted by on-board diagnostic (OBD) which get from the vehicle’s OBD interface, Tire-Pressure Monitoring system (TPMS) and Global Positioning System (GPS). The main content of this paper is the hardware design of the system, especially RF modules and antennas.

Localization Schemes and Its Challenges in Underwater Wireless Sensor Networks

2020 ◽  
Vol 17 (6) ◽  
pp. 2750-2754
Author(s):  
Osho Gupta ◽  
Manni Kumar ◽  
Aadil Mushtaq ◽  
Nitin Goyal
Keyword(s):  
Global Positioning System ◽  
Environmental Changes ◽  
Sea Water ◽  
Vital Role ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Dense Medium ◽  
Stable Configuration ◽  
Network Simulator ◽  
Global Positioning

An underwater wireless sensor network (UWSN) consists of numerous sensor nodes deployed below the water to monitor physical and environmental changes. But to locate the deployed sensor nodes is an issue. Global positioning system (GPS) doesn’t work below the water because of water depth and dense medium. Also manual and stable configuration of sensor nodes is not possible in case of UWSN due to water drift of 3 m/s. This gives the challenge of locating the sensor node to fetch data from that node. So, localization plays a vital role in many applications wherein the absence of GPS and manual configuration. Various localization schemes widespread motivation for the purpose of data tagging, node tracking and target detection. Here we are classifying various localization methods by which we can deploy various sensors under the deep sea water. Here, the authors have also compared some existing UWSN techniques with the help of network simulator to guide the research fraternity.

Auto Takeoff and Precision Terminal-Phase Landing Using an Experimental Optical Flow Model for Global Positioning System/Inertial Navigation System Enhancement

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Mohammad K. Al-Sharman ◽  
Mohammad Amin Al-Jarrah ◽  
Mamoun Abdel-Hafez
Keyword(s):  
Optical Flow ◽  
Real Time ◽  
Global Positioning System ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Position Error ◽  
Positioning System ◽  
The Real ◽  
Global Positioning

The high estimated position error in current commercial-off-the-shelf (GPS/INS) impedes achieving precise autonomous takeoff and landing (TOL) flight operations. To overcome this problem, in this paper, we propose an integrated global positioning system (GPS)/inertial navigation system (INS)/optical flow (OF) solution in which the OF provides an accurate augmentation to the GPS/INS. To ensure accurate and robust OF augmentation, we have used a robust modeling method to estimate OF based on a set of real-time experiments conducted under various simulated helicopter-landing scenarios. Knowing that the accuracy of the OF measurements is dependent on the accuracy of the height measurements, we have developed a real-time testing environment to model and validate the obtained dynamic OF model at various heights. The performance of the obtained OF model matches the real OF sensor with 87.70% fitting accuracy. An accuracy of 0.006 m/s mean error between the real OF sensor velocity and the velocity of the OF model is also achieved. The velocity measurements of the obtained OF model and the position of the GPS/INS are used in performing a dynamic model-based sensor fusion algorithm. In the proposed solution, the OF sensor is engaged when the vehicle approaches a landing spot that is equipped with a predefined landing pattern. The proposed solution has succeeded in performing a helicopter auto TOL with a maximum position error of 27 cm.

scholarly journals A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Monitoring Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Remote Monitoring System ◽  
Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

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