scholarly journals Clustering-Based Modified Ant Colony Optimizer for Internet of Vehicles (CACOIOV)

2019 ◽  
Vol 11 (9) ◽  
pp. 2624 ◽  
Author(s):  
Sahar Ebadinezhad ◽  
Ziya Dereboylu ◽  
Enver Ever
Keyword(s):  
Clustering Algorithm ◽  
Ad Hoc ◽  
Intelligent System ◽  
Ant Colony ◽  
Route Optimization ◽  
Traffic Density ◽  
The Internet ◽  
Transmission Range ◽  
Internet Of Vehicles ◽  
Routing Performance

The Internet of Vehicles (IoV) has recently become an emerging promising field of research due to the increasing number of vehicles each day. IoV is vehicle communications, which is also a part of the Internet of Things (IoT). Continuous topological changes of vehicular communications are a significant issue in IoV that can affect the change in network scalability, and the shortest routing path. Therefore, organizing efficient and reliable intercommunication routes between vehicular nodes, based on conditions of traffic density is an increasingly challenging issue. For such issues, clustering is one of the solutions, among other routing protocols, such as geocast, topology, and position-based routing. This paper focuses mainly on the scalability and the stability of the topology of IoV. In this study, a novel intelligent system-based algorithm is proposed (CACOIOV), which stabilizes topology by using a metaheuristic clustering algorithm based on the enhancement of Ant Colony Optimization (ACO) in two distinct stages for packet route optimization. Another algorithm, called mobility Dynamic Aware Transmission Range on Local traffic Density (DA-TRLD), is employed together with CACOIOV for the adaptation of transmission range regarding of density in local traffic. The results presented through NS-2 simulations show that the new protocol is superior to both Ad hoc On-demand Distance Vector (AODV) routing and (ACO) protocols based on evaluating routing performance in terms of throughput, packet delivery, and drop ratio, cluster numbers, and average end-to-end delay.

Latency estimation based on traffic density for video streaming in the internet of vehicles

2017 ◽  
Vol 111 ◽  
pp. 176-186 ◽  
Author(s):  
Chen Chen ◽  
Xiaomin Liu ◽  
Tie Qiu ◽  
Lei Liu ◽  
Arun Kumar Sangaiah
Keyword(s):  
Video Streaming ◽  
Traffic Density ◽  
The Internet ◽  
Internet Of Vehicles

scholarly journals Internet of Vehicles over Vanets: Smart and Secure Communication using IoT

2020 ◽  
Vol 21 (3) ◽  
pp. 425-440 ◽  
Author(s):  
Sumit Kumar ◽  
Jaspreet Singh
Keyword(s):  
Traffic Congestion ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Communication ◽  
Security And Privacy ◽  
The Internet ◽  
Time Data ◽  
Internet Of Vehicles ◽  
Hoc Networks

The new age of the Internet of Things (IoT) is motivating the advancement of traditional Vehicular Ad-Hoc Networks (VANETs) into the Internet of Vehicles (IoV). This paper is an overview of smart and secure communications to reduce traffic congestion using IoT based VANETs, known as IoV networks. Studies and observations made in this paper suggest that the practice of combining IoT and VANET for a secure combination has rarely practiced. IoV uses real-time data communication between vehicles to everything (V2X) using wireless communication devices based on fog/edge computing; therefore, it has considered as an application of Cyber-physical systems (CPS). Various modes of V2X communication with their connecting technologies also discussed. This paper delivers a detailed introduction to the Internet of Vehicles (IoV) with current applications, discusses the architecture of IoV based on currently existing communication technologies and routing protocols, presenting different issues in detail, provides several open research challenges and the trade-off between security and privacy in the area of IoV has reviewed. From the analysis of previous work in the IoV network, we concluded the utilization of artificial intelligence and machine learning concept is a beneficial step toward the future of IoV model.

scholarly journals Review on Security of Information Dissemination and Various Protocols in the Internet-of-Vehicles

2019 ◽  
Vol 7 (6) ◽  
pp. 20-24
Author(s):  
Shradha Tembhare ◽  
Abhishek Mishra
Keyword(s):  
Routing Protocols ◽  
Information Dissemination ◽  
Ad Hoc ◽  
High Mobility ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Vehicle To Vehicle ◽  
Data Provision ◽  
Distinct Features

Internet of Vehicles (IoV) is viewed as a developing worldview for associated vehicles to trade their data with different vehicles utilizing vehicle-to-vehicle (V2V) correspondences by framing a vehicular ad-hoc systems (VANETs), with roadside units utilizing vehicle-to-roadside (V2R) interchanges. Performance of this smart ITS mainly owes to the design of efficient routing protocols in VANETs. Distinct features of VANETs like unsteady connectivity, high mobility and partitioning of the network have made routing of the information in VANETs difficult and challenging, hence dictating the development of efficient routing protocols. The computation of the best route measures the performance of communication whereas routing protocols takes care of communication & routing of the data. Provision of smart communication, necessitates the analysis of routing protocols in VANET. Accordingly in this paper, reviewed various types of existing routing protocols and security approaches in VANET are discussed.

Algorithms Optimization for Intelligent IoV Applications

2021 ◽  
pp. 1-25
Author(s):  
Elmustafa Sayed Ali Ahmed ◽  
Zahraa Tagelsir Mohammed ◽  
Mona Bakri Hassan ◽  
Rashid A. Saeed
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Network Topology ◽  
Clustering Algorithm ◽  
Clustering Algorithms ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Topology Changes ◽  
The Internet Of Things

Internet of vehicles (IoV) has recently become an emerging promising field of research due to the increasing number of vehicles each day. It is a part of the internet of things (IoT) which deals with vehicle communications. As vehicular nodes are considered always in motion, they cause frequent changes in the network topology. These changes cause issues in IoV such as scalability, dynamic topology changes, and shortest path for routing. In this chapter, the authors will discuss different optimization algorithms (i.e., clustering algorithms, ant colony optimization, best interface selection [BIS] algorithm, mobility adaptive density connected clustering algorithm, meta-heuristics algorithms, and quality of service [QoS]-based optimization). These algorithms provide an important intelligent role to optimize the operation of IoV networks and promise to develop new intelligent IoV applications.

scholarly journals Design and performance evaluation of Improved DFACO protocol based on dynamic clustering in VANETs

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Sahar Ebadinezhad
Keyword(s):  
Performance Evaluation ◽  
Ant Colony Optimization ◽  
Routing Protocols ◽  
Clustering Algorithm ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Clustering Algorithms ◽  
Cluster Head ◽  
Ant Colony ◽  
Minimum Number

AbstractThis study focuses on Vehicular Ad-hoc Networks (VANETs) stability in an environment that is dynamic which often leads to major challenges in VANETs, such as dynamic topology changes, shortest routing paths and also scalability. One of the best solutions for such challenges is clustering. In this study, we present five novel routing protocols based on Dynamic Flying Ant Colony Optimization (DFACO) algorithm to achieve minimum number of clusters, high accuracy, minimum time and solution cost by selecting the best cluster-head which is obtained from a new mechanism of dynamic metaheuristic-based clustering. In this regard, major improvements are applied on classical DFACO by adjusting the procedure for updating the pheromone and tuning the evaporation rate that has a major role in DFACO. In this research two individual phases of experiments are conducted for performance evaluation of proposed routing protocols. The presented solution is verified and compared to classic Ant Colony Optimization (ACO), DFACO and ACO Based Clustering Algorithm for VANET (CACONET) algorithms in phase one; and compared to clustering algorithms such as Center Position and Mobility CPM), Highest-Degree algorithm (HD), Angle-based Clustering Algorithm (ACA) in phase two through NS-2 and SUMO simulation tools. Simulation results have confirmed the expected behaviour and show that our proposed protocols achieve better node connectivity and cluster stability than the former.

scholarly journals Evaluating the Impact of Transmission Range on the Performance of VANET

2016 ◽  
Vol 6 (2) ◽  
pp. 800 ◽  
Author(s):  
Akram A. Almohammedi ◽  
Nor K. Noordin ◽  
Sabri Saeed
Keyword(s):  
Traffic Safety ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Traffic Density ◽  
Transmission Range ◽  
Delivery Ratio ◽  
Node Mobility ◽  
End To End Delay ◽  
End To End ◽  
The Impact

Recently, interest in the field of Vehicular Ad-hoc Networks (VANETs) has grown among research community to improve traffic safety and efficiency on the roads. Despite the many advantages, the transmission range in vehicular network remains one of the major challenges due to the unique characteristics of VANETs such as various communication environments, highly dynamic topology, high node mobility and traffic density. The network would suffer from a broadcast-storm in high vehicular density when a fixed transmission range in VANET is used, while in sparse vehicular density the network could be disconnected frequently. In this paper, we evaluated the impact of different transmission ranges and number of flows formed between vehicles in a highway scenario using AODV as routing protocol. In order to validate the simulation of VANET, traffic and network simulators (SUMO & NS-2) have been used. The performance was evaluated in terms of packet delivery ratio and end-to-end delay. The simulation results have shown that better performance was achieved in term of higher PDR and lower end-to-end delay for less than 500 meters transmission range. On the contrary, the PDR started to decrease and end-to-end delay increased when the transmission range exceeded 500 meters. The performance degraded as the number of flows increased.

scholarly journals Would Current Ad-Hoc Routing Protocols be Adequate for the Internet of Vehicles? A Comparative Study

2018 ◽  
Vol 5 (5) ◽  
pp. 3683-3691 ◽  
Author(s):  
Armir Bujari ◽  
Ombretta Gaggi ◽  
Claudio Enrico Palazzi ◽  
Daniele Ronzani
Keyword(s):  
Comparative Study ◽  
Routing Protocols ◽  
Ad Hoc ◽  
The Internet ◽  
Ad Hoc Routing ◽  
Internet Of Vehicles

scholarly journals An Active Learning Approach with Uncertainty, Representativeness, and Diversity

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Tianxu He ◽  
Shukui Zhang ◽  
Jie Xin ◽  
Pengpeng Zhao ◽  
Jian Wu ◽  
...  
Keyword(s):  
Active Learning ◽  
Clustering Algorithm ◽  
Ad Hoc ◽  
State Of The Art ◽  
The Internet ◽  
Learning Approach ◽  
Learning Approaches ◽  
Learning Framework ◽  
Query Selection ◽  
The Internet Of Things

Big data from the Internet of Things may create big challenge for data classification. Most active learning approaches select either uncertain or representative unlabeled instances to query their labels. Although several active learning algorithms have been proposed to combine the two criteria for query selection, they are usually ad hoc in finding unlabeled instances that are both informative and representative and fail to take the diversity of instances into account. We address this challenge by presenting a new active learning framework which considers uncertainty, representativeness, and diversity creation. The proposed approach provides a systematic way for measuring and combining the uncertainty, representativeness, and diversity of an instance. Firstly, use instances’ uncertainty and representativeness to constitute the most informative set. Then, use the kernelk-means clustering algorithm to filter the redundant samples and the resulting samples are queried for labels. Extensive experimental results show that the proposed approach outperforms several state-of-the-art active learning approaches.

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