An improved performance routing protocol based on delay for MANETs in smart cities

Quý, Vũ Khánh; Chuan, Pham Minh; Ngoc, Le Anh

doi:10.11591/ijece.v12i1.pp418-424

Cited by 2 publications

(2 citation statements)

References 29 publications

(19 reference statements)

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“…Columbus, Ohio's Smart City, has tried self-driving shuttles. This futuristic experiment demonstrates how smart cities may help to decrease the demand for private automobiles in the future [20], [53], [105], [116], [188], [269], [279], [332]- [337].…”

Section: Smart Citiesmentioning

confidence: 86%

Insights on the internet of things: past, present, and future directions

Sutikno

Thalmann

2022

TELKOMNIKA

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The internet of things (IoT) is rapidly expanding and improving operations in a wide range of real-world applications, from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). Consumer markets, wearable devices, healthcare, smart buildings, agriculture, and smart cities are just a few examples. This paper discusses the current state of the IoT ecosystem, its primary applications and benefits, important architectural stages, some of the problems and challenges it faces, and its future. This paper explains how an appropriate IoT architecture that saves data, analyzes it, and recommends corrective action improves the process's ground reality. The IoT system architecture is divided into three layers: device, gateway, and platform. This then cascades into the four stages of the IoT architectural layout: sensors and actuators; gateways and data acquisition systems; edge IT data processing; and datacenter and cloud, which use high-end apps to collect data, evaluate it, process it, and provide remedial solutions. This elegant combination provides excellent value in automatic action. In the future, IoT will continue to serve as the foundation for many technologies. Machine learning will become more popular in the coming years as IoT networks take center stage in a variety of industries.

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Section: Smart Citiesmentioning

confidence: 86%

Insights on the internet of things: past, present, and future directions

Sutikno

Thalmann

2022

TELKOMNIKA

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“…CHs with large free buffer sizes and small ETX values are the ones selected based on the cost function with (5),…”

Section: Building the Clustersmentioning

confidence: 99%

A novel k-means powered algorithm for an efficient clustering in vehicular ad-hoc networks

Kandali

Bennis

Halaq

et al. 2023

IJECE

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<p>Considerable attention has recently been given to the routing issue in vehicular ad-hoc networks (VANET). Indeed, the repetitive communication failures and high velocity of vehicles reduce the efficacy of routing protocols in VANET. The clustering technique is considered an important solution to overcome these difficulties. In this paper, an efficient clustering approach using an adapted k-means algorithm for VANET has been introduced to enhance network stability in a highway environment. Our approach relies on a clustering scheme that accounts for the network characteristics and the number of connected vehicles. The simulation indicates that the proposed approach is more efficient than similar schemes. The results obtained appear an overall increase in constancy, proven by an increase in cluster head lifetime by 66%, and an improvement in robustness clear in the overall reduction of the end-to-end delay by 46% as well as an increase in throughput by 74%.</p>

show abstract

An improved performance routing protocol based on delay for MANETs in smart cities

Cited by 2 publications

References 29 publications

Insights on the internet of things: past, present, and future directions

Insights on the internet of things: past, present, and future directions

A novel k-means powered algorithm for an efficient clustering in vehicular ad-hoc networks

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