A new energy‐aware method for load balance managing in the fog‐based vehicular ad hoc networks (VANET) using a hybrid optimization algorithm

Ren, Qun; Arefzadeh, Seyedeh Maryam

doi:10.1049/cmu2.12179

Cited by 19 publications

(3 citation statements)

References 44 publications

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“…In this study [40], utilizing a hybrid optimization algorithm, they introduced a novel energyaware technique for load balance management in the fog-based VANET. A VANET network is made up of mobile nodes without any infrastructure.…”

Section: Related Workmentioning

confidence: 99%

An Ant-colony Based Model for Load Balancing in Fog Environments

2023

JSFI

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Delay-sensitive applications are becoming more and more in demand as a result of the development of information systems and the expansion of communication in cloud computing technologies. Some of these requests will be overlooked in cloud environments due to the communication delay between the processing center and the client's request. The 'fog-based computing paradigm', a novel processing model, can be added to cloud computing to help with the aforementioned issues. The performance of computing systems is always influenced by latency. In this paper, we focus on balancing the load on the fog nodes to lower the latency. It is also a crucial component of fog computing devices. It necessitates the use of load-balancing algorithms to select the optimal hosts, resulting in an even distribution of the load on the available resources. We provide a load-balancing approach based on the Ant-colony optimization algorithm's latency rate for responding to tasks. A random data set evaluation of this model reveals shorter response times than those of earlier strategies suggested in this field.

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Section: Related Workmentioning

confidence: 99%

An Ant-colony Based Model for Load Balancing in Fog Environments

2023

JSFI

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“…The hybrid model outperforms individual ABC and ACO implementations in terms of energy efficiency, and thus it is recommended that such hybrid models be used for network optimizations. These models can be used to solve a variety of issues in VANET, some of which have been described in Reference 29, which include scalability, heterogeneity, dynamic network topology, etc. An application of such models for solving specific issues related to QoS can be observed from Reference 30, wherein deadline, data size, and time of arrival is considered for providing high QoS and improving the scalability of the VANET deployment.…”

Section: Literature Reviewmentioning

confidence: 99%

A quality of service‐aware high‐security architecture design for software‐defined network powered vehicular ad‐hoc networks using machine learning‐based blockchain routing

Choudhary

Dorle

2022

Concurrency and Computation

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Software‐defined networks (SDNs) have proven to be highly flexible for vehicular ad‐hoc network (VANET) routing. This is due to packet‐level and bandwidth‐level controls available with SDNs. But SDNs have inherent security issues which include forwarding device attacks, control plane threats, communication channel vulnerability, etc. To counter these attacks, this paper initially proposes a proof‐of‐work‐based blockchain framework that can reduce attack probability by 99%. But, the overall network quality of service (QoS) reduces in terms of end‐to‐end delay, energy consumption, and throughput. To improve these parameters and maintain a high level of security, this work proposes a machine‐learning algorithm that optimizes blockchain parameters in a QoS‐aware manner. These parameters include selected chain length, encryption block length, etc. The machine learning algorithm is inspired by Q‐Learning and aims at reducing the performance effect of blockchain operations on the overall QoS of VANETs. Thus, the underlying network uses sidechain‐based blockchain implementation, which makes it faster, more secure, and less complex when compared with single‐chain implementations. Upon observing the results, it is seen that the proposed architecture can reduce the end‐to‐end delay by 15%, energy consumption by 18%, and increase overall throughput by 38% when compared with existing blockchain‐based SDN VANET architectures.

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“…Due to this restriction, network routing must make optimum use of available bandwidth while maintaining minimal overhead. More bandwidth is used by the unstable long route, which ultimately leads to significant control overhead and bandwidth waste [17,18].…”

Section: Introductionmentioning

confidence: 99%

Balancing Security and Energy-Efficiency in Vehicular Ad-Hoc Sensor Networks Using EHDSORP

T. Rathimala

2023

tjjpt

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Automobile networks have been the focus of growing amounts of research from scholarly community and organization as a method to improve traffic safety and provide drivers and passengers with real-time data. Beyond that, however, what is driving the expansion of VANETs is the need for a safe and secure network in moving vehicles. Ad hoc vehicular networks are made up of intelligent, on-the-road cars that can exchange data with one other and with permanent roadside infrastructure. In order to provide an energy-efficient and secure routing for ad-hoc sensor networks, a balancing security-based energy-aware routing leveraging the hybrid Fuzzy logic technique with dove swarm optimization-based routing (HFLDSOR) protocol is proposed in this study. The sensor nodes in this balancing security-based energy-aware routing are first set up in the ad hoc network. The clustering is carried out using an estimate of the distance between each node, and the cluster head (CH) is chosen using a fuzzy logic method. After the selection of the CH, the distance between each node, the quantity of energy left, and the number of neighbours for each node are evaluated as fuzzy logic criterion. In order to choose the best routing route for secured communication, the trustworthy nodes are forwarded. Balancing security-based hybrid vehicles that use less energy The optimum paths to the target are chosen using fuzzy logic method with dove swarm optimization-based routing (SE- HFLDSOR) protocol approach based on the parameters such as distance delay and energy objective function. Consequently, the SE- HFLDSOR protocol was used for safe and energy-efficient routing. The suggested model outperforms the comparable current procedures, according to the assessment performed using the MATLAB simulation tool. Hence, the SE- HFLDSOR protocol was appropriate for real-time applications.

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A new energy‐aware method for load balance managing in the fog‐based vehicular ad hoc networks (VANET) using a hybrid optimization algorithm

Cited by 19 publications

References 44 publications

An Ant-colony Based Model for Load Balancing in Fog Environments

An Ant-colony Based Model for Load Balancing in Fog Environments

A quality of service‐aware high‐security architecture design for software‐defined network powered vehicular ad‐hoc networks using machine learning‐based blockchain routing

Balancing Security and Energy-Efficiency in Vehicular Ad-Hoc Sensor Networks Using EHDSORP

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