Introduction to Mobile Ad-Hoc and Vehicular Networks

Ayyash, Moussa; Al-Sbou, Yazeed A.; Anan, Mohamed

doi:10.1007/978-1-4939-2468-4_2

Cited by 5 publications

(4 citation statements)

References 22 publications

(13 reference statements)

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“…Considering these application areas, MANET routing protocols have been intensively studied in the literature [11], [12] owing to their importance in deciding the successful operation of a MANET system. However, despite the ease of the establishment process, MANET routing protocols are uniquely presented with many challenges [3], [13]. First, owing to the limited range of radio communication links, nodes within the network must maintain multi-hop paths between one another [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Ad Hoc On-Demand Routing Protocol for Mobile Ad Hoc Networks

2022

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Mobile ad hoc networks (MANETs) are particularly suited for scenarios that demand rapid deployment of a communication system without any existing network resources. For instance, a MANET can facilitate the intercommunication process between members of a rescue party in a natural disaster, where the underlying routing protocol is crucial to maintaining the dissemination capability of data-critical packets. However, the backbone of every MANET, i.e., their routing protocol, is limited by the communication range of nodes, their high-speed mobility, and the capacity constraints of energy. This study proposed a fault-tolerant ad hoc on-demand routing protocol (FT-AORP) that relies on these characteristics of MANET nodes to determine reliable paths for data transmission. Subsequently, two of the discovered paths were used to transmit the duplicates of an original data packet to maximize fault tolerance. Further, using the OMNeT++ network simulator, the performance of the proposed system was evaluated through extensive simulation experiments against three simulation parameters: the number of network nodes, node speed, and data packet sending rate. The simulation results demonstrated that FT-AORP greatly improved the packet delivery ratio, reduced end-to-end delay, and maintained a higher residual energy level of the transmission path, compared to other baseline routing protocols.INDEX TERMS Mobile ad hoc network, fault tolerance, network mobility, on-demand routing protocol.

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Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Ad Hoc On-Demand Routing Protocol for Mobile Ad Hoc Networks

2022

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“…The second approach is ad hoc networks, which is an arbitrary and temporary network structure that does not need infrastructure support, that we also examine in this study. We will present a literature review about Machine Learning (ML) algorithms used in Vehicular Ad-Hoc Networks (VANET), which is a specialized sub-branch for vehicles, of networks that provides communication between mobile nodes, defined as MANET and Flying Ad-Hoc Networks (FANET), which is another specialized sub-branch for Unmanned Aerial Vehicles (UAV) of MANET [1].…”

Section: Introductionmentioning

confidence: 99%

A Review on Machine Learning Techniques Used in VANET and FANET Networks

MUTİ

Ülkü

2022

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi

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The widespread use of the Internet and the increase in the number and variety of devices connected to the internet have led to the emergence of new methods in wireless communication. Dynamic and temporary Ad-Hoc networks, which do not require a fixed infrastructure as in traditional wireless network communication, are one of these new methods. The fact that Ad-Hoc networks do not need a fixed infrastructure has revealed a network structure with a lower cost and less configuration. Mobile Ad-Hoc networks play an important role, especially in the communication of nodes on the move. FANET (Flying Ad-Hoc Networks) networks, which are called flying ad hoc networks, are mobile Ad-Hoc networks used for communication of unmanned aerial vehicles (UAV), and VANET (Vehicular Ad-Hoc Networks) networks, which are called vehicular ad hoc networks, are mobile Ad-Hoc networks used for communication of road vehicles. The development and dissemination of these networks make a significant contribution to the development of autonomous vehicles and UAVs. The increase in the use of FANET and VANET networks, which are specialized subnets of mobile Ad-Hoc networks, and the increase in the number of nodes in these networks have caused problems related to security, efficiency, and sustainability in these networks. Machine learning methods, one of today' s effective and common approaches, are one of the ways that are frequently used in solving the problems specified in FANET and VANET networks. The rapid topology change, which is one of the most important features of these networks, makes it difficult to provide traffic management, trust management, routing, and data transmission. In this direction, machine learning approaches play an active role. In this study, it is presented by examining which machine learning techniques are used in the literature to perform important tasks such as traffic management, trust management, routing, and data transfer. Thus, it is aimed for those who will work in these fields to acquire information about machine learning approaches that can be used. Since the FANET network type is a new approach, it has been observed that there are few studies using machine learning. In VANET systems, studies using machine learning methods are especially intense in 2021. This study was carried out to give the reader an idea about which machine learning methods can be used in which problems in FANET and VANET networks.

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“…Smart sensor nodes, which are low-power devices equipped with a set of sensors, a processor, a memory, a power supply, a radio, and an actuator, can sense, measure, and gather information from the environment. Wireless sensor networks (WSNs), which are self-organized wireless networks of smart sensor nodes, are used to cooperatively transmit the sensed data to the base station [1]. See Figure 1 for a small-sized WSN.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Patching Strategy for Wireless Sensor Networks

Yang

et al. 2019

Sensors

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Wireless sensor networks (WSNs) are vulnerable to computer viruses. To protect WSNs from virus attack, the virus library associated with each sensor node must be updated in a timely way. This article is devoted to developing energy-efficient patching strategies for WSNs. First, we model the original problem as an optimal control problem in which (a) each control stands for a patching strategy, and (b) the objective functional to be optimized stands for the energy efficiency of a patching strategy. Second, we prove that the optimal control problem is solvable. Next, we derive the optimality system for solving the optimal control problem, accompanied with a few examples. Finally, we examine the effects of some factors on the optimal control. The obtained results help improve the security of WSNs.

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Introduction to Mobile Ad-Hoc and Vehicular Networks

Cited by 5 publications

References 22 publications

Fault-Tolerant Ad Hoc On-Demand Routing Protocol for Mobile Ad Hoc Networks

Fault-Tolerant Ad Hoc On-Demand Routing Protocol for Mobile Ad Hoc Networks

A Review on Machine Learning Techniques Used in VANET and FANET Networks

Energy-Efficient Patching Strategy for Wireless Sensor Networks

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