Qinruo Wang

A survey on position-based routing for vehicular ad hoc networks

Position-based routing is considered to be a very promising routing strategy for communication within vehicular ad hoc networks (VANETs), due to the fact that vehicular nodes can obtain position information from onboard global positioning system receivers and acquire global road layout information from an onboard digital map. Position-based routing protocols, which are based mostly on greedy forwarding, are well-suited to the highly dynamic and rapid-changing network topology of VANETs. In this paper, we outline the background and the latest development in VANETs and survey the state-of-the-art routing protocols previously used in VANETs. We present the pros and cons for each routing protocol, and make a detailed comparison. We also discuss open issues, challenges and future research directions. It is observed that a hybrid routing protocol is the best choice for VANETs in both urban and highway environments.

Towards Real-Time Indoor Localization in Wireless Sensor Networks

Recently, Real Time Location Systems (RTLS) have been designed to provide location information of positioning target. The kernel of RTLS is localization algorithm, range-base localization algorithm is concerned as high precision. This paper introduces real-time range-based indoor localization algorithms, including Time of Arrival, Time Difference of Arrival, Received Signal Strength Indication, Time of Flight, and Symmetrical Double Sided Two Way Ranging. Evaluation criteria are proposed for assessing these algorithms, namely positioning accuracy, scale, cost, energy efficiency, and security. We also introduce the latest some solution, compare their Strengths and weaknesses. Finally, we give a recommendation about selecting algorithm from the viewpoint of the practical application need.

A Scalable and Quick-Response Software Defined Vehicular Network Assisted by Mobile Edge Computing

Connected vehicles provide advanced transformations and attractive business opportunities in the automotive industry. Presently, IEEE 802.11p and evolving 5G are the mainstream radio access technologies in the vehicular industry, but neither of them can meet all requirements of vehicle communication. In order to provide low-latency and high-reliability communication, an SDN-enabled network architecture assisted by MEC, which integrates different types of access technologies, is proposed. MEC technology with its on-premises feature can decrease data transmission time and enhance quality of user experience in latency-sensitive applications. Therefore, MEC plays as important a role in the proposed architecture as SDN technology. The proposed architecture was validated by a practical use case, and the obtained results have shown that it meets application- specific requirements and maintains good scalability and responsiveness.

A Novel Energy-Saving One-Sided Synchronous Two-Way Ranging Algorithm for Vehicular Positioning

As a result of the imprecise positioning accuracy, the satellite-based positioning system cannot offer the reliable and continuous positioning service for vehicular active safety application or vehicle monitoring in urban center with dense buildings or underground. With the advent of Vehicle Ad hoc Network (VANET), the Roadside Unit (RSU) can be considered as an anchor or base station to offer positioning reference. The ground-based positioning solution can help us acquire more precise position information through many times interaction, but multiple communications will result in heavy burden for network and more energy consumption. In this paper, we firstly analyze the pros and cons of representative algorithm, i.e., Symmetric Double Side-Two way Ranging (SDS-TWR). Then, we propose a novel energy-saving One-Sided Synchronous Two-Way Ranging (OSS-TWR) algorithm to reduce the communication times, which gains lower energy consumption and better performance than SDS-TWR. The experiments verify the validity of our solution. Finally, we make a conclusion and discuss the future works of vehicular positioning.

A time-recordable cross-layer communication protocol for the positioning of Vehicular Cyber-Physical Systems

Vehicular Cyber-Physical Systems are a rapidly growing research field that has applications in a variety of locations that include urban centers, underground parking lots, as well as tunnels environments. These systems require real-time or constant location information, but the traditional satellite signal-based positioning systems do not work well in tunnels or urban centers with dense skyscraper due to satellite signal Non-Line-Of-Sight (NLOS) problem. The One-Sided Synchronous Two-Way Ranging (OSS-TWR) algorithm can remedy the imprecise positioning of satellite signal-based positioning systems by using a Dedicated Short Range Communications (DSRC) link between the vehicle and Road Side Units (RSUs). However, the unavoidable network collisions in these wireless communication systems will severely influence the measurement of the signal flight of time, thus significantly degrading positioning estimation accuracy of OSS-TWR. In this paper, a cross-layer communication protocol is proposed to enhance OSS-TWR by compensating for the impact of network collision. Firstly, OSS-TWR positioning algorithm is analyzed and the reasons for the poor precision location estimation are further explored. Secondly, a time-recordable back-off algorithm is proposed that can record the total back-off time for a frame resend resulting from a network collision. Following this, the experimental ranging results show that the proposed algorithm is practically feasible and is superior to OSS-TWR. We proposed a new time-recordable back-off algorithm.A complete cross-layer communication protocol is proposed for vehicular positioning.We evaluate the proposed algorithm by ranging experiments.The proposed algorithm is practically feasible and is superior to OSS-TWR.

Eye Control System Base on Ameliorated Hough Transform Algorithm

This paper proposes an eye control system employing eye gaze tracking techniques that might be helpful for those limb disabled people with healthy eyes. Eye gaze tracking technique is attracting more and more research interest in recent years. With an aim to overcome the shortcomings of existing methods (e.g., high hardware complexity and low detection accuracy), we use the pupil-corneal reflection technique to develop an ameliorated Hough transform algorithm, which is the core unit of the proposed system. We also design a typing function as well as an efficiently blink detection function. With these functions, users can input numbers into the computer with their eyes only through a specifically designed head mount eye control device. Experimental results demonstrate that the proposed ameliorated Hough transform algorithm provides a satisfactory typing accuracy of 87%, much higher than its counterpart in the literature.

A Four-Quadrant Thrust Estimation Scheme Based on Chebyshev Fit and Experiment of Ship Model

This paper proposes a thrust estimation scheme for marine propellers in four-quadrant operations. To calculate the thrust and torque coefficients of screw propeller in four-quadrant, a Chebyshev fit expression of the propeller properties in four-quadrant for surface vessel is given, and then it is changed into an ordinary polynomial expression. These expressions are suitable for calculating the value of the propeller thrust and convenient for studying the ships maneuverability. On the basis of ship-propeller movement characteristics, the dynamical models of propeller in four- quadrant operations are given. The effectiveness of the proposed thrust estimation scheme is validated by experimental results derived from an electrically driven fixed pitch propeller, which provides a good reference for the vessel operations.

Helmet-mounted eye control system for pupil recognition and position

Existing eye control systems either are expensive or have high computational complexity, difficulties in realising and low detection rate. We propose an integrated and novel Helmet-Mounted Display HMD using macro infrared eye gaze tracking and spot detection algorithm that can help the limb-disabled people with healthy eyes. Clear black and white images of the pupil can be obtained by a micro-focus camera system and pre-processing software. We discuss pupil and spot detection method based on the improved Hough algorithm, and the black and white image of the pupil location algorithm, tracking pupil movement by eye tracking. Furthermore, integration of the improved Hough algorithm can reduce the HMD micro-positioning. Experimental results show that the proposed system has a higher accuracy than the existing methods.

A Novel Wireless Context-Aware Network of Service Robot

With the improvement of sensors, intelligence and wireless communication technologies, the service robot is faced with a new rapid development opportunity, which can utilize pervasive computing of wireless network to sensing everything happened in whole context. This paper presents a novel service robot global context-aware network, and puts emphasis on four key issues, such as ultra wideband radio, wireless positioning technology, wireless body area network and dynamic Bayesian network.

Cloud Services Platform of Public Resources Trading Integration

Considering China’s public resources trading platform does not implement in the true sense of integration, information sharing still exist in isolation, security is not strong, large resources, poor timeliness, and efficiency is low, so we put forward a public resources trading platform based on cloud services. This system not only realize the public resources trading center insider, wealth, and the unity of the business process management, meanwhile to achieve resource virtualization, services can be quantified, and one-stop service online.