Big data challenges and opportunities in Internet of Vehicles: a systematic review

A Hemmati, M Zarei, AM Rahmani - International Journal of Pervasive …, 2024 - emerald.com
Purpose Big data challenges and opportunities on the Internet of Vehicles (IoV) have
emerged as a transformative paradigm to change intelligent transportation systems. With the …

[HTML][HTML] Smart waste management: A paradigm shift enabled by artificial intelligence

DB Olawade, O Fapohunda, OZ Wada… - Waste Management …, 2024 - Elsevier
Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

Optimizing Energy Consumption and Provisioning for Wireless Charging and Data Collection in Large-Scale WRSNs With Mobile Elements

GK Ijemaru, LM Ang, KP Seng - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Wireless rechargeable sensor networks (WRSNs) have emerged with strong potential to
address the bottlenecks of energy/lifetime of a wireless sensor network. Recent techniques …

Secure key exchange scheme and blockchain-oriented data protection in the internet of vehicles

S Cherbal - 2023 6th international conference on signal …, 2023 - ieeexplore.ieee.org
Today, vehicles are becoming part of the Internet of Things, providing information to people
on the move. This has led to the evolution of vehicular networks into the Internet of Vehicles …

Deep learning applications in the Internet of Things: a review, tools, and future directions

P Raoufi, A Hemmati, AM Rahmani - Evolutionary Intelligence, 2024 - Springer
The emergence of the Internet of Things (IoT) has enabled the proliferation of interconnected
devices and sensors, generating vast amounts of often complex and unstructured data …

A case study on the estimation of sensor data generation in smart cities and the role of opportunistic networks in sensor data collection

J Gandhi, Z Narmawala - Peer-to-Peer Networking and Applications, 2024 - Springer
Smart cities rely on real-time sensor data to improve services and quality of life. However,
the rapid growth of sensor data poses challenges in transmission, storage, and processing …

[HTML][HTML] A New Successive Time Balancing Time-to-Digital Conversion Method

K Jurasz, D Kościelnik, J Szyduczyński, W Machowski - Sensors, 2023 - mdpi.com
This paper presents a new self-clocked time-to-digital conversion method based on a binary
successive approximation (SA) algorithm. Its novelty consists in combining fully clockless …

[HTML][HTML] Innovating Household Food Waste Management: A User-Centric Approach with AHP–TRIZ Integration

S Wang, H Park, J Xu - Sensors, 2024 - mdpi.com
Food waste management remains a paramount issue in the field of social innovation. While
government-led public recycling measures are important, the untapped role of residents in …

Trends and Challenges in AIoT Implementation for Smart Home, Smart Buildings, and Smart Cities in Cloud Platforms

V Santhi, YNVS Sabareesh, PP Sudheer… - Artificial Intelligence of …, 2024 - igi-global.com
Smart homes, smart buildings, and smart cities increase the quality of living by creating a
world that is better and more secure, reducing dependency on human needs and efforts …

NMRA-Facilitated Optimized Deep Learning Framework: A Case Study on IoT-Enabled Waste Management in Smart Cities

A Thirumalraj, R Chandrashekar… - … Intelligent Systems for …, 2024 - igi-global.com
Recycling and landfilling are two of the primary means by which garbage is destroyed in the
context of waste management. Many urban areas struggle with improper waste collection …