Designing Energy-Efficient IoT-Based Intelligent Transport System: Need, Architecture, Characteristics, Challenges, and Applications

Bhardwaj, Kartik Krishna; Khanna, Anirudh; Sharma, Deepak Kumar; Chhabra, Anshuman

doi:10.1007/978-981-13-7399-2_9

Cited by 25 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An IoT powered control system was suggested in [15] to obtain, govern and consolidate real-time traffic models. Their main goal is to expand the range of mobility and transmit vital traffic information about traffic bottlenecks and unexpected crashes via the highway signaling system.…”

Section: Traffic Monitoringmentioning

confidence: 99%

Design and Implementation of Intelligent Traffic-Management System for Smart Cities using Roaming Agent and Deep Neural Network (RAD2N)

Sankar,

Joel,

Husain

2023

IJRITCC

View full text Add to dashboard Cite

In metropolitan areas, the exponential growth in quantity of vehicles has instigated gridlock, pollution, and delays in the transportation of freight. IoT is the modern revolution which pushes the world towards intelligent management systems and automated procedures. This makes a significant contribution to automation and intelligent societies. Traffic regulation and effective congestion management assist conserve many priceless resources. In order to recognize, collect and send data, autonomous vehicles are furnished with IoT powered Intelligent Traffic Management System (ITMS) having a set of sensors. Moreover, machine learning (ML) algorithms can also be employed to enhance the transportation system. Traffic jams, delays, and a high death rate are the results of the problems that the current transport management systems face. In this paper, an active traffic control for VANET is proposed which merges Roaming Agents (RA) with deep neural networks (DNN). The effectiveness of the DNN with RA (RAD2N) routing method in VANETs is evaluated experimentally and compared with the traditional ML and other DL routing algorithms. Several traffic congestion indicators, including delay, packet delivery ratio (PDR) and throughput are used to validate RAD2N. The outcomes demonstrate that the proposed approach delivers lower latency and energy consumption.

show abstract

Section: Traffic Monitoringmentioning

confidence: 99%

Design and Implementation of Intelligent Traffic-Management System for Smart Cities using Roaming Agent and Deep Neural Network (RAD2N)

Sankar,

Joel,

Husain

2023

IJRITCC

View full text Add to dashboard Cite

show abstract

“…6) Reliability and availability [108,109]: several connected devices, software, services, and users are connected which leads to increase the failure rate. 7) Energy efficiency [110]: real time continuous sensing consumes the power. 8) Intelligent algorithms used for data processing require sufficient and big training data.…”

Section: Challenges and Future Trendsmentioning

confidence: 99%

A review of internet of medical things (IoMT) - based remote health monitoring through wearable sensors: a case study for diabetic patients

AlShorman

Alshorman²,

Al-khassaweneh

et al. 2020

IJEECS

View full text Add to dashboard Cite

The latest advances and trends in information technology and communication have a vital role in healthcare industries. Theses advancements led to the Internet of Medical Things (IoMT) which provides a continuous, remote and real-time monitoring of patients. The IoMT architectures still face many challenges related to the bandwidth, communication protocols, big data and data volume, flexibility, reliability, data management, data acquisition, data processing and analytics availability, cost effectiveness, data security and privacy, and energy efficiency. The goal of this paper is to find feasible solutions to enhance the healthcare living facilities using remote health monitoring (RHM) and IoMT. In addition, the enhancement of the prevention, prognosis, diagnosis and treatment abilities using IoMT and RHM is also discussed. A case study of monitoring the vital signs of diabetic patients using real-time data processing and IoMT is also presented.

show abstract

“…11 Similarly, the allocation of the actuators on the vehicle must be in accurate position that leads to the precise movement and efficient usage of the energy resources. 12 The control systems with good performance under these constraints attain a high degree of autonomy. 13 Previously, many researchers contributed in modeling, designing, and construction of ROUV with a gripper.…”

Section: Introductionmentioning

confidence: 99%

A review of different designs and control models of remotely operated underwater vehicle

Wang

Ali

2020

Measurement and Control

View full text Add to dashboard Cite

This article reviews remotely operated underwater vehicle (ROUV) and its different types focusing on the control systems. This study offers a brief introduction of unmanned underwater vehicle (UUV) together with ROUV. Underwater robots are designed to work as an alternative to humans because of a difficult and hazardous underwater environment. The applications and demand of marine robots are increasing with the passage of time. There are several research articles and publications available on these topics but, a complete review of old and recent research about this technology is still hard to find. This article also assesses some recently published research papers on underwater systems. It presents the comparison of different control systems and designs of underwater vehicles. There have been major developments in marine technology depending on the needs, applications and cost of different missions. Scientists design many remotely operated vehicles based on the educational or industrial purposes. This article is presented in order to help and assist the future researchers as a massive review of the field of remotely operated underwater vehicles and their possible future developments are presented.

show abstract

Designing Energy-Efficient IoT-Based Intelligent Transport System: Need, Architecture, Characteristics, Challenges, and Applications

Cited by 25 publications

References 29 publications

Design and Implementation of Intelligent Traffic-Management System for Smart Cities using Roaming Agent and Deep Neural Network (RAD2N)

Design and Implementation of Intelligent Traffic-Management System for Smart Cities using Roaming Agent and Deep Neural Network (RAD2N)

A review of internet of medical things (IoMT) - based remote health monitoring through wearable sensors: a case study for diabetic patients

A review of different designs and control models of remotely operated underwater vehicle

Contact Info

Product

Resources

About