A Cooperative Road Topology-Based Handoff Management Scheme

Ahmed, Hazem; Pierre, Samuel; Quintero, Alejandro

doi:10.1109/tvt.2018.2872824

Cited by 16 publications

(7 citation statements)

References 22 publications

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“…As a result, the mobile station timely receives the control information that helps minimize the handover delay and fast handover. In [32], neighbour vehicles are used as a partner of handover operation.…”

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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“…These models assist in improving security during handoffs, thereby reducing attack probability, and increasing overall QoS of the heterogeneous network. Similar models like, Network Mobility (NEMO) based cryptosystem [15], cooperative road topology-based handoff [16], and multiple vertical handoff decision controllers [17] are proposed by researchers. These models have good simulation performance, but do not cover majority aspects of real time communications including transition delays, security overheads, etc.…”

Section: Duementioning

confidence: 99%

NLADSS: Design of Connectivity as a Service (CaaS) Model using Node-Level Augmentation & Dynamic Sleep Scheduling for Heterogeneous Wireless Network Handoffs

2022

IJIES

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Seamless connectivity is need-of-the-hour for high-speed wireless networks. With the advent of 5th Generation (5G) wireless devices, users from different networks require inter-network connectivity with minimum packet drops, and maximum bit-rate. In order to perform this task, high efficiency handover models are proposed, which evaluate various network-level parameters including trust-levels, capacity, Quality of Service (QoS), etc. These algorithms also evaluate various node level metrics which include end-to-end delay, Received Signal Strength Indicator (RSSI), movement patterns, etc. in order to map the nodes to relevant networks. The drawback of proposed approaches is their inability to cater high-speed environments without causing QoS degradation. Moreover, most of these models do not consider node-level augmentations, which restricts their performance when applied to real-world scenarios. In order to remove these drawbacks and make the algorithms perform well with high speed environments without QoS degradation, we propose the design of a novel Connectivity as a Service (CaaS) model that uses Node-Level Augmentation & Dynamic Sleep Scheduling (NLADSS) for high efficiency heterogeneous wireless network handoffs. It was observed that the proposed algorithm is able to achieve a handoff efficiency of 98% for 5G heterogeneous networks, which outperforms most of the recently proposed models. The proposed model also aims at providing immutability, traceability, and high-performance distributed computing, while not compromising on QoS performance of the network.

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“…The main issue with this work is it is based on the assumptions and also, the initial threshold was kept static. The paper (Ahmed et al, 2019) concentrates on handover as well as routing. A handoff protocol was proposed, that computes Link Expiration Time (LET) for detecting the connectivity between vehicles.…”

Section: Prior Work On Handovermentioning

confidence: 99%

Artificial Intelligence-Based Network Selection and Optimized Routing in Internet of Vehicles

Hussain

Yusof

Hussain

2021

Transport and Telecommunication Journal

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Internet of Vehicles (IoV) is a network of vehicles communicating with each other by exchanging road traffic information via radio access technologies. Two potential technologies of V2X that have gained attention over the past years are DSRC and cellular networks such as 4G LTE and 5G. DSRC is suitable for low latency communications, however provides a shorter coverage range whereas, 4G LTE offers a wide coverage range but has high transmission time intervals. In contrast, 5G offers higher data rates, low latencies but prone to blockages. Single technology might not fully accommodate the requirements of vehicular communications. Hence, it is required to interwork with more than one radio access network to satisfy the requirements of safety vehicular applications. One issue identified when working with multiple radio access networks is the selection of the most appropriate network for vertical handover. Usually, in the previous works, the network is selected directly or will be connected to the available network due to which the handover had to take place frequently resulting in unnecessary handovers. Hence, in the existing state-of-the-art, the need for handover is not validated. In this paper, we have proposed a dynamic Q-learning algorithm to validate the need for handover, and then, appropriate selection of network would take place by using a fuzzy convolutional neural network. Besides, a modified jellyfish optimization algorithm is proposed to select the shortest paths by forming V2V pairs that take into account channel metrics, vehicle metrics, and vehicle performance metrics. The proposed algorithms are then evaluated using OMNET++ and compared with the existing state-of-the-art concerning mean handover, HO failure, throughput, delay, and packet loss as the performance metrics.

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A Cooperative Road Topology-Based Handoff Management Scheme

Cited by 16 publications

References 22 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

NLADSS: Design of Connectivity as a Service (CaaS) Model using Node-Level Augmentation & Dynamic Sleep Scheduling for Heterogeneous Wireless Network Handoffs

Artificial Intelligence-Based Network Selection and Optimized Routing in Internet of Vehicles

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