Utility-Based Horizontal Handover Decision Method for Vehicle-to-Vehicle Communication in VANET

Alam, Sahirul; Sulistyo, Selo; Mustika, I Wayan; Adrian, Ronald

doi:10.22266/ijies2020.0430.01

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…If the RSS level is lower than the preset limit, then vertical handover is initiated. In [19], RSS-based vertical handover is improved by taking additional bandwidth parameters and signal-to-noise ratio (SNR). However, the author did not focus on false handover and interference issues that are of prime importance.…”

Section: Introductionmentioning

confidence: 99%

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

Haider

Gilani

Jamal

et al. 2022

Security and Communication Networks

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The real-time monitoring and autonomous decision making through unmanned aerial vehicles (UAVs) are the potential applications of future networks. Vertical handover in future networks is a mechanism to switch communication between different network access technologies like Wireless Local Area Network (WLAN), Worldwide Interoperability for Wireless Microwave Access (WiMAX), Third-Generation (3G), Fourth-Generation (4G), and Fifth-Generation (5G) mobile technologies. These technologies have significant importance in providing fast, reliable, and timely communication. However, during a vertical handover, an inadequate delay and packet loss can cause considerable disruption in maintaining communication sessions and results in intolerable end-to-end delay, disconnectivity, and poor packet delivery ratio. The proposed work addresses the vertical handover method in UAVs communication by designing a relay-based vertical handover technique. The relay UAVs is an assistant node, requiring an organized and intelligent deployment that assists in vertical handover and communication by minimizing the average packet loss and average delay from source to destination. Moreover, a multicriteria handover parameter triggering is used for seamless and more extended network coverage. Extensive simulations using S-shaped and U-shaped trajectories are designed and simulated for relay-based vertical handover performance evaluation. The results obtained show that our proposed relay-based handover method offers seamless connectivity and high-performance experienced during the vertical handover process. The extensive comparison with state-of-the-art techniques proves that the proposed method is better in terms of 18% handover success rate, 21% end-to-end delay, and 29% packet loss.

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Section: Introductionmentioning

confidence: 99%

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

Haider

Gilani

Jamal

et al. 2022

Security and Communication Networks

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“…For software-defined wireless networking architecture having dense wireless local area networks, an algorithm for user prioritization, classifying stations into two priority levels has been effective in guaranteeing quality of service to users by enhancing horizontal handover [41]. A utility function considering signal to noise proportion network burden is formulated for HoH decision in automobileto-automobile communication reducing ping-pong ramification and enriching throughput by picking network having lower burden [42].…”

Section: Handover Mobility Scopementioning

confidence: 99%

A Review on Deploying Blockchain Technology for Network Mobility Management

Wijesekara

2024

International Transactions on Electrical Engineering and Comput

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In wireless mobile networks, Mobility Management (MM) is a critical aspect that involves different tasks such as handover management, location management, offloading, resource allocation, and others. Blockchain platform comprising of an array of linked blocks innately supports the incorruptibility, sustaining the authenticity, and sustain pseudonymous privacy. Traditional MM is centralized, in contrast to blockchain-grounded MM that is partially or fully decentralized in its approach. As the inaugural researchers to review on blockchain-grounded MM, we are proud to cluster the blockchain-grounded MM concept under 7 clusters and closely study each framework with respect to different aspects such as blockchain specific parameters, MM specific parameters, network parameters, and more. We gathered a sample of 92 source references by curating the articles for eligibility criteria examined from electronic archives utilizing a comprehensive and enduring way. Grounded on this inspection, blockchain-grounded MM reinforces the overall security, trust, and privacy of location management and resource allocation, blockchain-grounded secure handover, facilitating registration and authentication, automatic MM utilizing smart contracts, reducing vulnerabilities, repairing low quality data, coordination, fair scheduling, in offloading, and blockchain-grounded resource allocation. Close studying proves that out of blockchain grounded MM frameworks, 37.5% utilize blockchain grounded secure handover, 92.5% utilize simple blockchain architecture, 32.5% utilize PoW consensus, 100% distributed MM, 97.5% host grounded MM, 95% packet reordering tolerant MM, 52.5% QoS aware MM, and 12.5% proposed for 5G networks. Finally, we present the openings and obstructions of the concept of blockchain-grounded MM and then catering surmounting advices.

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“…However, the solutions proposed in [16][17][18] challenges when scaling up to a larger network or a more complex environment, especially since it relies on the use of a single radio spectrum band, which may be insufficient, causing service outages as user requests increase. Furthermore, an approach based on utility-based handover decisions involves selecting the network with a lower load is proposed in [19] to provide better performance for vehicular network, particularly in terms of throughput and handover rate.…”

Section: Related Workmentioning

confidence: 99%

Distributed Reinforcement Learning–based Seamless Multi-Connectivity Solution for Heterogeneous 5GNR and Wi-Fi Networks

2024

IJIES

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The integration of 5G New Radio (5G-NR) and Wi-Fi networks in heterogeneous environments holds significant promise for delivering critical services with relatively high reliability and low latency. In this paper, we tackle the critical challenge of establishing robust multi-connectivity within heterogeneous systems integrating 5G NR and Wi-Fi systems. In this context, our focus is on optimizing a new, distributed multi-Connectivity solution, with a main emphasis on identifying the ideal base stations (BSs) and Wi-Fi access points (APs) with their respective spectrum associations. This solution is essential for ensuring low-latency and reliable communication required, particularly for mission-critical services. The simulation results demonstrate the significant advantages of the proposed algorithm compared to reference schemes. It leads to network performance improvements by enhancing system utility function, reducing service access time, and increasing packet success rates, through high-quality connectivity with relatively low interference probability. In particular, for mission-critical services, the proposed algorithm leads to a 16 % and 41% increase in effective network throughput when the offered load is 190 Mbps, which outperforms the benchmark approaches. Furthermore, it improves the utility function by approximately 0.12, and 0.19 compared to the reference approaches. This reflects a substantial improvements in success delivery rates for mission-critical services by 10 % and 18 %, respectively, when compared to the reference approaches, particularly evident at an offered load of approximately 190Mbps.

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Utility-Based Horizontal Handover Decision Method for Vehicle-to-Vehicle Communication in VANET

Cited by 7 publications

References 19 publications

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles

A Review on Deploying Blockchain Technology for Network Mobility Management

Distributed Reinforcement Learning–based Seamless Multi-Connectivity Solution for Heterogeneous 5GNR and Wi-Fi Networks

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