Adaptive Energy-Efficient Named Data Networking in VANETs

Achieving energy-efficient communication in Vehic-ular Ad Hoc Networking (VANETs) is critical for improving the overall performance of Intelligent Transportation Systems (ITS). This study introduces an Adaptive Energy-Efficient Named Data Networking (AEE-NDN) framework specifically designed for VANETs. The framework adapts to varying traffic conditions and optimizes Energy Consumption (EC) through four key components: Secure Data Validation (SDV) for reliable data handling, Adaptive Data Retrieval (ADR) to reduce transmission energy, Active Positioning Routing (APR) for EC data dissemination and Uniform Cache Allocation (UCA) to minimize redundant data transmissions. These components are evaluated based on metrics such as Packet Loss Ratio (PLR), EC, and Cache-Hit Ratio (CHR). Results show that UCA effectively reduces packet loss while optimizing energy usage, maintaining a PLR of 0.4 at lower speeds and achieving a low average latency of 4.1 seconds at high traffic volumes. The adaptive caching mechanism in UCA ensures efficient energy utilization by reducing the need for frequent data re-transmissions. Additionally, ADR significantly improves energy savings in low-traffic scenarios, increasing the CHR to 0.46. Overall, AEE-NDN demonstrates significant potential for reducing EC while enhancing data delivery in VANETs, making it a promising solution for energy-efficient communication in dynamic vehicular networks.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/iccc62609.2024.10942243
Primary Topic
Caching and Content Delivery
Type
article
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article

Adaptive Energy-Efficient Named Data Networking in VANETs

Muhammad Aurang Zeb Khan, Muhammad Alamgeer Khan, Muhammad Sohail, Quan Zheng et al.
Caching and Content Delivery
article

Adaptive Energy-Efficient Named Data Networking in VANETs

Muhammad Aurang Zeb Khan, Muhammad Alamgeer Khan, Muhammad Sohail, Quan Zheng, Faisal Murad
article en

Abstract

Achieving energy-efficient communication in Vehic-ular Ad Hoc Networking (VANETs) is critical for improving the overall performance of Intelligent Transportation Systems (ITS). This study introduces an Adaptive Energy-Efficient Named Data Networking (AEE-NDN) framework specifically designed for VANETs. The framework adapts to varying traffic conditions and optimizes Energy Consumption (EC) through four key components: Secure Data Validation (SDV) for reliable data handling, Adaptive Data Retrieval (ADR) to reduce transmission energy, Active Positioning Routing (APR) for EC data dissemination and Uniform Cache Allocation (UCA) to minimize redundant data transmissions. These components are evaluated based on metrics such as Packet Loss Ratio (PLR), EC, and Cache-Hit Ratio (CHR). Results show that UCA effectively reduces packet loss while optimizing energy usage, maintaining a PLR of 0.4 at lower speeds and achieving a low average latency of 4.1 seconds at high traffic volumes. The adaptive caching mechanism in UCA ensures efficient energy utilization by reducing the need for frequent data re-transmissions. Additionally, ADR significantly improves energy savings in low-traffic scenarios, increasing the CHR to 0.46. Overall, AEE-NDN demonstrates significant potential for reducing EC while enhancing data delivery in VANETs, making it a promising solution for energy-efficient communication in dynamic vehicular networks.

University of Science and Technology of China (CN), Anhui University (CN)
Affordable and clean energy
Openalex Percentile: Top 66%
Caching and Content Delivery
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Adaptive Energy-Efficient Named Data Networking in VANETs — Muhammad Aurang Zeb Khan, Muhammad Alamgeer Khan, et al. · (2024) | TGRS Research Map | TGRS