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

Download

15.pdf

Date

2019-5-7

Author

Ebadinezhad , Sahar
Dereboylu, Ziya
Ever, Enver

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

209
views

123
downloads

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.

Subject Keywords

Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, Management, Monitoring, Policy and Law, Ant colony optimization, Clustering, 5G wireless networks, Routing, Internet of vehicles, Vehicular ad hoc networks, Particle swarm optimization

URI

https://hdl.handle.net/11511/51646

Journal

Sustainability

DOI

https://doi.org/10.3390/su11092624

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Optimization of PERC fabrication based on loss analysis in an industrially relevant environment: First results from GUNAM photovoltaic line (GPVL) ES, FIRAT; SEMİZ, EMEL; Orhan, Efe; Genc, Ezgi; Kokbudak, Gamze; Baytemir, Gulsen; Turan, Raşit (Elsevier BV, 2020-02-01) Passivated emitter and rear cell (PERC) concept with an already developed roadmap for 24% efficiency will be leading the photovoltaics industry in the upcoming years. In a few industrial pilot lines, efficiencies above 22% have already been attained. Pilot lines have important roles in bridging lab scale proven concepts with the products which are ready for mass production. Therefore, GUNAM Photovoltaic Line which is specialized on PERC concepts has been established to overcome the barriers that hinder the ...
PREFERRED LEVEL OF VEHICLE AUTOMATION IN TURKEY AND SWEDEN: IN ASSOCIATION WITH TRAFFIC CLIMATE, TRAFFIC LOCUS OF CONTROL AND DRIVING SKILLS ÖZTÜRK, İbrahim; Özkan, Türker; WALLÉN WARNER, Henriette; Department of Psychology (2021-7) With technological developments, vehicles with different capabilities are becoming part of the traffic system. In recent years, vehicles with different levels of automation are taking the attention of both industry and academia. In addition, traffic climate, traffic locus of control and driving skills have been related to various road safety outcomes such as accidents. The present study examines how traffic climate, traffic locus of control and driving skills are related to drivers’ automated vehicle prefer...
3D imaging via binary wavefront modulation for lidar and machine vision applications Yüksel, Çağdaş Anıl; Yüce, Emre; Department of Micro and Nanotechnology (2020-11-2) Autonomous vehicles have proven to be very efficient in daily routine jobs and their impact will continue to increase given the recent developments in artificial intelligence, boosted by increased computation capacity. These vehicles are generally equipped with 2D imaging sensors and asked to accomplish tasks in a 3D world, which hamper their functionalities. In this study, we experimentally investigate and develop 3D imaging technologies. We first demonstrate colorful 3D imaging via time of flight me...
Secure message authentication protocol for can (controller area network). Mertol, Sarp; Doğanaksoy, Ali; Department of Cryptography (2020) The widespread communication of vehicles with each other and road infrastructure has raised concerns about how to ensure network security of the electronic control units (ECUs) in the vehicle. The fact that networks such as the Controller Area Network (CAN), which is commonly used in in-vehicle communications, will also be connected to external networks (e.g. 3G / 4G mobile networks) will allow malicious adversaries to benefit from the vulnerability of the CAN. The authentication of messages of ECUs in the ...
Communication and coordination for urban intelligent transportation: architecture and algorithms Atagoziev, Maksat; Schmidt, Klaus Verner; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2022-2-10) In the scope of Intelligent Transportation Systems (ITS), the automation and coordination of connected and autonomous vehicle (CAV) lane changes (LCs) have a strong impact on driving safety and traffic throughput. Accordingly, this thesis develops algorithms for the coordination of CAV LCs that are then used for controlling the traffic at intersections. First, this thesis focuses on the coordination of LCs of a group of CAVs to minimize the time when all LCs are completed, while keeping small inter-vehicle ...

Citation Formats

S. Ebadinezhad, Z. Dereboylu, and E. Ever, “Clustering-Based Modified Ant Colony Optimizer for Internet of Vehicles (CACOIOV),” Sustainability, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51646.