Why The Accuracy Of The Received Signal Strengths As A Positioning Technique Was Not Accurate?

Mohamed, Samir A. Elsagheer

doi:10.5121/ijwmn.2011.3306

Cited by 14 publications

(8 citation statements)

References 25 publications

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“…e goal here is to assist in the evolution of intelligent radio (IR), and selflearning with proactive exploration. [27], and GPS systems are used [28,29]. Many of these methods suffer from issues such as security, the need for special types of antennas, highly complex design algorithms, high estimation time, and high cost.…”

Section: Internet Of Vehicles (Iov) Since This Work Utilizes Thementioning

confidence: 99%

Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV)

Mohamed

Parvez

Al-Shalfan

et al. 2021

Journal of Advanced Transportation

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Over-/underspeeding is one of the leading causes of road accidents. Traditional systems of detecting and reporting speed-limit violations are not suitable for smart cities. Even the sophisticated conventional systems that use cameras or RFIDs for automating speed-limit violations have several drawbacks, including cost, complexity, reliability, and maintenance. In this paper, we present two systems based on the Internet of Vehicles (IoV) to automatically detect speed-limit violations and autonomously report the committed violations to the authorities. Our systems require no extra hardware or equipment: only the On-Board Unit (OBU), the Road Side Unit (RSU), and the Cloud Server software have to be updated to have a fully functioning system as long as the IoV infrastructure is deployed. One of the systems will be installed on the OBU. A second alternative system design is to use Cloud Servers (CSs) and the IoV beacons that are sent from the vehicles. Additionally, unlike the existing systems installed in specific locations, all roads in the smart cities and highways will be fully monitored. Adaptive fine calculation according to new dynamic policies can be easily integrated into the proposed system. Furthermore, the proposed system can accurately operate in all weather conditions. Moreover, it allows the dynamic adjustment of the speed limits according to the current weather conditions. We have validated the proposed system by building a prototype system that effectively and accurately detects and reports over-/underspeed traffic violations alongside any road.

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Section: Internet Of Vehicles (Iov) Since This Work Utilizes Thementioning

confidence: 99%

Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV)

Mohamed

Parvez

Al-Shalfan

et al. 2021

Journal of Advanced Transportation

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“…However, the method is sensitive to environmental factors such as multipath effects and shadowing [186]. Also, since signal strength attenuates with distance, the accuracy of RSS methods decreases with large distance [156,187], thus it is suitable for short distance application. A significant problem in using RSS as a method for measuring distance is that when an EM signal propagates over a plane earth (rather than in free space) the relationship between signal strength and distance is not single-valued, resulting in ambiguity.…”

Section: Rss and Csi-based Location Identificationmentioning

confidence: 99%

Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

Oguntala

Abd‐Alhameed

Jones

et al. 2018

Computer Science Review

107

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The advent of the Internet of Things has witnessed tremendous success in the application of wireless sensor networks and ubiquitous computing for diverse smart-based applications. The developed systems operate under different technologies using different methods to achieve their targeted goals. In this treatise, we carried out an inclusive survey on key indoor technologies and techniques, with to view to explore their various benefits, limitations, and areas for improvement. The mathematical formulation for simple localization problems is also presented. In addition, an empirical evaluation of the performance of these indoor technologies is carried out using a common generic metric of scalability, accuracy, complexity, robustness, energy-efficiency, cost and reliability. An empirical evaluation of performance of different RF-based technologies establishes the viability of Wi-Fi, RFID, UWB, Wi-Fi, Bluetooth, ZigBee, and Light over other indoor technologies for reliable IoT-based applications. Furthermore, the survey advocates hybridization of technologies as an effective approach to achieve reliable IoT-based indoor systems. The findings of the survey could be useful in the selection of appropriate indoor technologies for the development of reliable real-time indoor applications. The study could also be used as a reliable source for literature referencing on the subject of indoor location identification.

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“…Reported results based on this technique shows poor accuracy [1,13] (around 50 meters). An interesting work that proposes a positioning system based on the Received Signal Strength (RSS) for VANET is proposed in [35]. The system uses the same equipments of VANET to reduce the cost.…”

Section: Related Workmentioning

confidence: 99%

“…By applying a dc voltage to the nanotube, charge is concentrated at the tip of the nanotube. Therefore, when the nanotube oscillates it radiates an oscillating electromagnetic field [35].…”

Section: Related Workmentioning

confidence: 99%

“…To achieve communications between nodes in VCNT, the nodes must be activated, either externally by a centralized controller, or internally in a sequential manner as the activation signal propagates in the network in a multihop fashion. The activation signal is an electromagnetic wave has certain duration, tuned according to the resonance frequency of the nanotube antennas of the nodes to be activated [35]. Really, the activation of adjacent nodes changes with time and vehicle's position.…”

Section: Model Of Vehicle Carbon Nanotube Networkmentioning

confidence: 99%

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Accurate Distance Estimation for VANET Using Nanointegrated Devices

Nasr¹,

Mohamed²

2012

OPJ

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Vehicular Ad-Hoc Networks (VANET) is a research venue that promises for many useful applications. Most of these applications require a precise real-time positioning system for each vehicle. However, practically the existing techniques are still not accurate and hence not suitable for some critical applications. In this paper, we will focus on the most critical ones which are the collision avoidance, and collision warning, or lane-tracking. Collision occurs when the distance between nearby vehicles decreases rapidly. Hence, an accurate and precise knowledge of the distance among each vehicle and all the surrounding vehicles has to be obtained to enable a realistic collision avoidance service. We propose to use the carbon nanotube network (CNT) integrated with other nano-devices that can provide accuracy in the order of millimeters. In this paper, theoretical investigations and mathematical formulations are presented. The obtained results show the effectiveness and accuracy of the proposed methodology.

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Why The Accuracy Of The Received Signal Strengths As A Positioning Technique Was Not Accurate?

Abstract: Abstract

Cited by 14 publications

References 25 publications

Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV)

Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV)

Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

Accurate Distance Estimation for VANET Using Nanointegrated Devices

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