scholarly journals Feasibility of Location-Aware Handover for Autonomous Vehicles in Industrial Multi-Radio Environments

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6290
Author(s):  
Yi Lu ◽  
Mikhail Gerasimenko ◽  
Roman Kovalchukov ◽  
Martin Stusek ◽  
Jani Urama ◽  
...  

The integration of millimeter wave (mmWave) and low frequency interfaces brings an unique opportunity to unify the communications and positioning technologies in the future wireless heterogeneous networks (HetNets), which offer great potential for efficient handover using location awareness, hence a location-aware handover (LHO). Targeting a self-organized communication system with autonomous vehicles, we conduct and describe an experimental and analytical study on the LHO using a mmWave-enabled robotic platform in a multi-radio environment. Compared to the conventional received signal strength indicator (RSSI)-based handover, the studied LHO not only improves the achievable throughput, but also enhances the wireless link robustness for the industrial Internet-of-things (IIoT)-oriented applications. In terms of acquiring location awareness, a geometry-based positioning (GBP) algorithm is proposed and implemented in both simulation and experiments, where its achievable accuracy is assessed and tested. Based on the performed experiments, the location-related measurements acquired by the robot are not accurate enough for the standalone-GBP algorithm to provide an accurate location awareness to perform a reliable handover. Nevertheless, we demonstrate that by combining the GBP with the dead reckoning, more accurate location awareness becomes achievable, the LHO can therefore be performed in a more optimized manner compared to the conventional RSSI-based handover scheme, and is therefore able to achieve approximately twice as high average throughput in certain scenarios. Our study confirms that the achieved location awareness, if accurate enough, could enable an efficient handover scheme, further enhancing the autonomous features in the HetNets.

2006 ◽  
Vol 13 (4) ◽  
pp. 409-412 ◽  
Author(s):  
Y. Ida ◽  
M. Hayakawa

Abstract. An extremely large earthquake (with magnitude of 8.2) happened on 8 August 1993 near the Guam island, and ultra-low-frequency (ULF) (frequency less than 1 Hz) electromagnetic fields were measured by 3-axis induction magnetometers at an observing station (with the epicentral distance of 65 km) with sampling frequency of 1 Hz. In order to study electromagnetic signature of prefracture criticality, we have undertaken the fractal (mono-fractal) analysis by means of the Higuchi's method for the ULF data during the 1993 Guam earthquake. Then, it is found that the fractal dimension exhibits five maxima 99, 75, 52, 21, and 9–4 days before the earthquake main shock, which suggests the ULF electromagnetic signature of nonlinear evolution (in the sense of self-organized criticality) taking place in the lithosphere just before the 1993 large Guam earthquake. That is, there take place step-like changes in the lithosphere during the long-term of the order of several months before the main shock.


2016 ◽  
Vol 101 ◽  
pp. 145-151
Author(s):  
Clemente Fuggini ◽  
Ivan Tesfai

GALILEO together with EGNOS will provide more robust positioning capability enhancing the adoption of satellite technologies in services where signal continuity and integrity are required, such as those related to Public Regulated Service (PRS) and Safety of Life (SOL) applications. This will have an impact on various sectors and applications, including emergency and disaster management, Search and Rescue Service (SAR) tasks and location-based services (LBS) supporting responders in mission critical operations. In this scenario, in November 2013, the SPARTACUS project started to design, realize and test in simulated and real world scenarios GALILEO-ready tracking solutions that can be deployed in operative missions for enhancing Location Awareness in emergency management and crisis operations. SPARTACUS developed new EU-specific services to ensure precise positioning and timing capabilities to three application areas: 1) tracking, tracing and localization of critical transport assets in case of major failure of existing networks; 2) tracking the flow of relief support goods from the sending side to the receiving/end place; 3) supporting coordination of first responders in disaster management operations, ensuring their safety. By its Consortium, SPARTACUS innovations include hardware adaptations, algorithms for precision improvement, dead reckoning functionalities, location awareness, and ad-hoc independent communication networks.


2020 ◽  
Vol 69 (8) ◽  
pp. 8820-8831 ◽  
Author(s):  
Xinghua Li ◽  
Mengfan Xu ◽  
Pandi Vijayakumar ◽  
Neeraj Kumar ◽  
Ximeng Liu

2020 ◽  
Vol 6 (4) ◽  
pp. 191-214
Author(s):  
H. R. Schmidtke

Abstract With the CoViD-19 pandemic, location awareness technologies have seen renewed interests due to the numerous contact tracking mobile application variants developed, deployed, and discussed. For some, location-aware applications are primarily a producer of geospatial Big Data required for vital geospatial analysis and visualization of the spread of the disease in a state of emergency. For others, comprehensive tracking of citizens constitutes a dangerous violation of fundamental rights. Commercial web-based location-aware applications both collect data and—through spatial analysis and connection to services—provide value to users. This value is what motivates users to share increasingly private and comprehensive data. The willingness of users to share data in return for services has been a key concern with web-based variants of the technology since the beginning. With a focus on two privacy preserving CoViD-19 contact tracking applications, this survey walks through the key steps of developing a privacy preserving context-aware application: from types of applications and business models, through architectures and privacy strategies, to representations.


Author(s):  
Erfen Gustiawan Suwangto

The Fourth Industrial Revolution (4IR) is the fourth major industrial era since the initial Industrial Revolution of the 18th century. It is characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres collectively referred to as cyber-physical systems1. It is marked by emerging technology breakthroughs in a number of fields, including robotics, artificial intelligence, nanotechnology, quantum computing, biotechnology, the Internet of Things, the Industrial Internet of Things (IIoT), fifth-generation wireless technologies (5G), additive manufacturing/3D printing and fully autonomous vehicles.........


Fractals ◽  
1993 ◽  
Vol 01 (03) ◽  
pp. 380-387 ◽  
Author(s):  
KLAUS-D. KNIFFKI ◽  
WOLFGANG MANDEL ◽  
PHUOC TRAN-GIA

Recently, a general organizing principle has been reported connecting 1/f-noise with the self-similar scale-invariant ‘fractal’ properties in space, hence reflecting two sides of a coin, the so-called self-organized critical state. The basic idea is that dynamical systems with many degrees of freedom operate persistently far from equilibrium at or near a threshold of stability at the border of chaos. Temporal fluctuations which cannot be explained as consequences of statistically independent random events are found in a variety of physical and biological phenomena. The fluctuations of these systems can be characterized by a power spectrum density S(f) decaying as f−b at low frequencies with an exponent b<1.5. We present a new approach to describe the individual biorhythm of humans using data from a colleague who has kept daily records for two years of his state of well-being applying a fifty-point magnitude category scale. This time series was described as a point process by introducing two discriminating rating levels R for the occurrence of R≥40 and R≤10. For b<1 a new method to estimate the low frequency part of S(f) was applied using counting statistics without applying Fast Fourier Transform. The method applied reliably discriminates these types of fluctuations from a random point process, with b=0.0. It is very tempting to speculate that the neural mechanisms at various levels of the nervous system underlying the perception of different values of the subjective state of well-being, are expressions of a self-organized critical state.


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