A QoS-aware Fuzzy-based System for Assessment of Edge Computing Resources in SDN-VANETs

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Dynamic Network ◽  
Edge Computing ◽  
Communication Link ◽  
Contact Duration ◽  
Processing Capability ◽  
Hoc Networks ◽  
Edge Layer

Vehicular Ad hoc Networks (VANETs) face resource management challenges due to their dynamic network topology and massive amount of data generated by the ever-rising number of vehicles. In this paper, we implement a Fuzzy-based System for Assessment of Neighboring Vehicles Processing Capability (FS-ANVPC), in which we consider two models (FS-ANVPC1 and FS-ANVPC2) to assess the available edge computing resources in Software Defined-VANETs. The proposed system determines the processing capability of each neighboring vehicle, and based on the final value, it can be decided whether the edge layer can be used by the vehicles in need of additional resources. FS-ANVPC1 takes into consideration the available resources of the neighboring vehicles and the predicted contact duration between them and the vehicle in need, while FS-ANVPC2 includes in addition the quality of service of the communication link among vehicles. We evaluate the proposed system by computer simulations. From the evaluation results, we see that FS-ANVPC2 shows better results than FS-ANVPC1 although its complexity is higher.

A fuzzy-based approach for resource management in SDN-VANETs: Effect of trustworthiness on assessment of available edge computing resources

2021 ◽  
pp. 1-12
Author(s):  
Ermioni Qafzezi ◽  
Kevin Bylykbashi ◽  
Phudit Ampririt ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
...  
Keyword(s):  
Resource Management ◽  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Distributed Processing ◽  
Transportation Systems ◽  
Edge Computing ◽  
Processing Capability ◽  
Hoc Networks ◽  
Available Resources

Vehicular Ad hoc Networks (VANETs) aim to improve the efficiency and safety of transportation systems by enabling communication between vehicles and roadside units, without relying on a central infrastructure. However, since there is a tremendous amount of data and significant number of resources to be dealt with, data and resource management become their major issues. Cloud, Fog and Edge computing, together with Software Defined Networking (SDN) are anticipated to provide flexibility, scalability and intelligence in VANETs while leveraging distributed processing environment. In this paper, we consider this architecture and implement and compare two Fuzzy-based Systems for Assessment of Neighboring Vehicles Processing Capability (FS-ANVPC1 and FS-ANVPC2) to determine the processing capability of neighboring vehicles in Software Defined Vehicular Ad hoc Networks (SDN-VANETs). The computational, networking and storage resources of vehicles comprise the Edge Computing resources in a layered Cloud-Fog-Edge architecture. A vehicle which needs additional resources to complete certain tasks and process various data can use the resources of the neighboring vehicles if the requirements to realize such operations are fulfilled. The proposed systems are used to assess the processing capability of each neighboring vehicle and based on the final value, it can be determined whether the edge layer can be used by the vehicles in need. FS-ANVPC1 takes into consideration the available resources of the neighboring vehicles and the predicted contact duration between them and the present vehicle, while FS-ANVPC2 includes in addition the vehicles trustworthiness value. Our systems take also into account the neighboring vehicles’ willingness to share their resources and determine the processing capability for each neighbor. We evaluate the proposed systems by computer simulations. The evaluation results show that FS-ANVPC1 decides that helpful neighboring vehicles are the ones that are predicted to be within the vehicle communication range for a while and have medium/large amount of available resources. FS-ANVPC2 considers the same neighboring vehicles as helpful neighbors only if they have at least a moderate trustworthiness value ( VT = 0.5). When VT is higher, FS-ANVPC2 takes into consideration also neighbors with less available resources.

scholarly journals SSOPS based Solution to Improve QoS in VANET

2021 ◽  
Vol 9 (2) ◽  
pp. 06-13
Author(s):  
Pallavi Sharma, Anil Sagar, Mohit Marwaha
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Wireless Systems ◽  
Path Selection ◽  
Road Accidents ◽  
Strength Based ◽  
Optimum Path ◽  
Hoc Networks

Vehicular Ad-hoc Networks (VANETs) is an emerging network technology derived from ad-hoc networks. This paper provides the state-of-the-art of VANETs and provides optimum proposal by improving Quality of Service (QoS.) Today, wireless systems are preferred over wired systems and these are gaining popularity as it provides wireless connectivity to the users irrespective of their geographic position, VANET is one of them. VANETs are installed to minimize the risk of road accidents and to improve passenger comfort by permitting the vehicles to exchange various types of data. In this paper, the Signal Strength based Optimum Path Selection (SSOPS) based solution on how to mitigate the QoS issues that exists while using the existing methods are discussed. Moreover, the solution has been tested using NS2 software using various parameters.

scholarly journals An Efficient Data Transmission in VANET Using Clustering Method

2017 ◽  
Vol 63 (3) ◽  
pp. 309-313 ◽  
Author(s):  
C. Suganthi Evangeline ◽  
S. Appu
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Cluster Head ◽  
Data Gathering ◽  
Link Quality ◽  
Clustering Methods ◽  
The Road ◽  
Hoc Networks

Abstract A special type of Mobile Ad-hoc Networks (MANETs) which has frequent changes of topology and higher mobility is known as Vehicular Ad-hoc Networks (VANETs). In order to divide the network into groups of mobile vehicles and improve routing, data gathering, clustering is applied in VANETs. A stable clustering scheme based on adaptive multiple metric combining both the features of static and dynamic clustering methods is proposed in this work. Based on a new multiple metric method, a cluster head is selected among the cluster members which is taken from the mobility metrics such as position and time to leave the road segment, relative speed and Quality of Service metrics which includes neighborhood degree, link quality of the RSU and bandwidth. A higher QoS and cluster stability are achieved through the adaptive multiple metric. The results are simulated using NS2 and shows that this technique provides more stable cluster structured with the other methods.

scholarly journals Exponential and Power Law Distribution of Contact Duration in Urban Vehicular Ad Hoc Networks

2013 ◽  
Vol 20 (1) ◽  
pp. 110-113 ◽  
Author(s):  
Yong Li ◽  
Depeng Jin ◽  
Zhaocheng Wang ◽  
Lieguang Zeng ◽  
Sheng Chen
Keyword(s):  
Ad Hoc Networks ◽  
Power Law ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Power Law Distribution ◽  
Contact Duration ◽  
Hoc Networks

scholarly journals A distributed trust mechanism for malicious behaviors in VANETs

2020 ◽  
Vol 19 (3) ◽  
pp. 1147
Author(s):  
Ali Kamil Ahmed ◽  
Mohanad Najm Abdulwahed ◽  
Behnam Farzaneh
Keyword(s):  
Network Performance ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Malicious Node ◽  
Topsis Method ◽  
Trust Mechanism ◽  
Related Information ◽  
Hoc Networks ◽  
Malicious Behaviors

<p>Vehicular Ad-hoc Networks (VANETs) are one of the most important types of networks which are widely used in recent years. Along with all the benefits of Quality of Service (QoS) improvements, vulnerability analysis for this type of networks is an important issue. For instance, a Gray-hole attack decreases network performance. We proposed a novel solution to help to secure these networks against this vulnerability. The proposed method can detect and prevent the Gray-hole attack. Anywhere in the network, each node (vehicle) can distinguish between the Gray-hole attack and the failed link. Some topology related information helps us to detect attacks more accurately. Also, the proposed method uses the most reliable path in terms of link failure when there is no malicious node. In this paper, we used the TOPSIS method for choosing the most trusted node for routing intelligently. We validated our proposal using a simulation model in the NS-2 simulator. Simulation results show that the proposed method can prevent Gray-hole attack efficiently with low overhead.</p>

scholarly journals Enhanced Vehicular AD HOC Network Protocol to Improve Quality of Service in Vehicle to Vehicle Communication

2019 ◽  
Vol 8 (9S) ◽  
pp. 175-181
Keyword(s):  
Quality Of Service ◽  
Ad Hoc Networks ◽  
Routing Protocols ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Rapid Change ◽  
Dynamic Environment ◽  
Dynamic Source ◽  
Hoc Networks

The vehicular ad-hoc networks (VANETs) are specific type or a sub form of Mobile ad hoc networks (MANETs). However the main problem which is related to this network is the Quality of Service (QoS) which mainly occurs due to rapid change topology nature in the network and lack of stability of communication. Consequently, some of the challenges that researcher focus on routing protocols for VANET. The problem which is faced by this network with these protocols is the dynamic environment in their route instability. This paper approaches the combination of Dynamic Source Routing protocol (DSR) and Particle Swarm Optimization Algorithm (PSO) to solve the problems of Routing protocols which help to improve the Quality of service (QoS) in the network. The approach which is introduced in this paper is to make use for making the better Quality of Service (QoS) in the VANET. The simulation results in MATLAB exactly predict the overall performances regarding the proposed work in terms of the packet drop ratio, transmission delay, channel utilization, Throughput and Energy consumption under varying conditions

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