Survey on vehicular ad hoc networks clustering algorithms: Overview, taxonomy, challenges, and open research issues

2020 ◽  
Vol 33 (11) ◽  
pp. e4402 ◽  
Author(s):  
Oussama Senouci ◽  
Saad Harous ◽  
Zibouda Aliouat
2015 ◽  
Vol 17 (4) ◽  
pp. 2461-2492 ◽  
Author(s):  
Mohamed Hadded ◽  
Paul Muhlethaler ◽  
Anis Laouiti ◽  
Rachid Zagrouba ◽  
Leila Azouz Saidane

2015 ◽  
Vol 11 (8) ◽  
pp. 745303 ◽  
Author(s):  
Wenshuang Liang ◽  
Zhuorong Li ◽  
Hongyang Zhang ◽  
Shenling Wang ◽  
Rongfang Bie

Author(s):  
Ameneh Daeinabi ◽  
Akbar Ghaffarpour Rahbar

Vehicular Ad Hoc Networks (VANETs) are appropriate networks that can be applied for intelligent transportation systems. Three important challenges in VANETs are studied in this chapter. The first challenge is to defend against attackers. Because of the lack of a coordination unit in a VANET, vehicles should cooperate together and monitor each other in order to enhance security performance of the VANET. As the second challenge in VANETs, scalability is a critical issue for a network designer. Clustering is one solution for the scalability problem and is vital for efficient resource consumption and load balancing in large scale VANETs. On the other hand, due to the high-rate topology changes and high variability in vehicles density, transmission range of a vehicle is an important issue for forwarding and receiving messages. In this chapter, we study the clustering algorithms, the solutions appropriate to increase connectivity, and the algorithms that can detect attackers in a VANET.


Drones ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 9
Author(s):  
Ali H. Wheeb ◽  
Rosdiadee Nordin ◽  
Asma’ Abu Samah ◽  
Mohammed H. Alsharif ◽  
Muhammad Asghar Khan

Telecommunications among unmanned aerial vehicles (UAVs) have emerged recently due to rapid improvements in wireless technology, low-cost equipment, advancement in networking communication techniques, and demand from various industries that seek to leverage aerial data to improve their business and operations. As such, UAVs have started to become extremely prevalent for a variety of civilian, commercial, and military uses over the past few years. UAVs form a flying ad hoc network (FANET) as they communicate and collaborate wirelessly. FANETs may be utilized to quickly complete complex operations. FANETs are frequently deployed in three dimensions, with a mobility model determined by the work they are to do, and hence differ between vehicular ad hoc networks (VANETs) and mobile ad hoc networks (MANETs) in terms of features and attributes. Furthermore, different flight constraints and the high dynamic topology of FANETs make the design of routing protocols difficult. This paper presents a comprehensive review covering the UAV network, the several communication links, the routing protocols, the mobility models, the important research issues, and simulation software dedicated to FANETs. A topology-based routing protocol specialized to FANETs is discussed in-depth, with detailed categorization, descriptions, and qualitatively compared analyses. In addition, the paper demonstrates open research topics and future challenge issues that need to be resolved by the researchers, before UAVs communications are expected to become a reality and practical in the industry.


Author(s):  
Hirozumi Yamaguchi ◽  
Weihua Sun ◽  
Teruo Higashino

This chapter introduces geographic routing in vehicular ad hoc networks (VANETs). The aim of this chapter is to clarify the basic principle of geographic VANET routing protocols by stating their ideas. To this goal, we explain the common ideas behind the geographic routing protocols, and consider issues in applying those ideas to vehicular ad hoc networks. Then we summarize a wide variety of protocols; from ones in early design stages to understand the basic principle, to state-of-the-art ones to know recent research trends. After that, we give the detailed design of an example protocol to understand the design principle of VANET geographic routing protocols. Finally, we summarize the protocols introduced in this chapter and discuss future directions for possible research issues.


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