scholarly journals Novel Algorithm for V2v and V2i Security by Fuzzy Logic Decision in Vanet

2019 ◽  
Vol 8 (12) ◽  
pp. 755-758
Keyword(s):  
Fuzzy Logic ◽  
Information Exchange ◽  
Road Safety ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Communication Technologies ◽  
Road Accident ◽  
Traffic Jam ◽  
Recent Developments ◽  
Fuzzy Logic Method

The recent developments in wireless communication technologies along with the costs of hardware allow both V2V and V2I communications for information exchange. Such a network is called Vehicular ad Hoc Network (VANET) which is very important for various road safety and non-safety related applications. However, Due to the wireless nature of communication in VANETs, it is also prone to various security attacks which are originally present in wireless networks. Hence to realize the highest potential of VANET, the network should be free from attackers, there by all the information exchanged in the network must be reliable should be originated from authenticated source. The system can be processed by the fuzzy logic method. It does not require any keys for data transmission. The system design is very efficient compared to other techniques. So the users prevent from road accident and traffic jam.

Performance Comparison of MANET, VANET and FANET

2018 ◽  
Vol 8 (5) ◽  
pp. 132
Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Wireless Network ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Comparison ◽  
Fuzzy Rules ◽  
Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

scholarly journals Trust-enhanced secure multipath routing for mobile ad hoc networks

2021 ◽  
Author(s):  
Lubaid Ahmed
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Information Exchange ◽  
Ad Hoc ◽  
Communication Technologies ◽  
Trust Model ◽  
Routing Algorithms ◽  
Brute Force ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Due to recent advances in computing and communication technologies, Mobile Ad hoc Networks (MANETs) are becoming networks of choice for various applications such as emergencies [sic] preparedness and response, military and crisis management, and healthcare, to name a few. The main reason for this is that in MANET, information exchange between nodes can happen dynamically without pre-exisiting fixed network infrastructure with designated centralized access points. However, this privilege also comes with some security drawbacks, especially from a message security viewpoint because the implementation of hard-cryptographic security now becomes a challenging prospect. In this thesis, we improve a recently proposed method of message security in MANET (so called benchmark scheme, also referred to as trust-based multipath DSR routing scheme), by introducing a trust model that makes multi-path routing flexible enough to avoid non-trusted routes that may use brute force attacks to decrypt messages travelling through the network en route to their destinations. Simulation results, coupled with theoretical justification, affirm that the proposed solution is much more secured than the above-mentioned benchmark method and traditional multi-path routing algorithms.

scholarly journals Intelligent Accident Prevention in VANETs

2019 ◽  
Vol 8 (2) ◽  
pp. 2401-2405
Keyword(s):  
Road Safety ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Weather Conditions ◽  
Accident Prevention ◽  
Road Accidents ◽  
Human Errors ◽  
The Road ◽  
On The Road ◽  
Nearest Neighbour Classifier

Accident prevention has always been an important issue for governments and car manufacturers across the world. Roughly 1.5 million people are killed in road accidents annually in India. The primary causes of accidents are broken and weathered roads, hazardous weather conditions, as well as human errors such as over speeding, distracted driving, and not following road safety rules. The traffic police work hard to enforce strict rules and maintain accident-free roads, but this hasn’t proven to be efficient. A vehicular ad hoc network (VANET), as the name says, is a network consisting of nodes. These nodes depict vehicles on the road. This project aims to use this technology with K-Nearest Neighbour Classifier (KNN) to create a prototype of a system which can notify drivers of an impending accident caused by forward collisions, rear collision etc., thus enabling them to take immediate action and prevent it.

scholarly journals Capacity Enhancement for the Vehicular Network using Spatial Multiplexing

2018 ◽  
Vol 7 (4.19) ◽  
pp. 772
Author(s):  
Hassan Hadi Saleh ◽  
Saad Talib Hasoon
Keyword(s):  
Road Safety ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mimo Systems ◽  
Mimo System ◽  
Spatial Multiplexing ◽  
Intelligent Transport System ◽  
Spatial Reuse ◽  
Single Input Single Output

Vehicular Ad hoc Network (VANET) is an advanced system and subcategory of a Mobile Ad hoc Network (MANET), it has as the potential to significantly impact road safety and improve traffic by providing critical information to drivers on critical routes. The system can inform the driver of a local anomaly, which is a very short distance from the sensors. Data from this sensors can be passing between vehicles so as to increase awareness of this environment. Intelligent Transport System (ITS) applications will include traffic efficiency, comfort of driving and road safety. The transaction of warning messages exploits a limited capacity because these applications generate little separate messages. Estimating the capacity of the VANET is therefore essential, as it may limit the deployment or usefulness of these applications. Therefore, an estimate must be made in advance for application design with capacity limitations in mind. VANET capacity is limited mainly through spatial reuse.  Multiple-Input Multiple-Output (MIMO) structures have been suggested to replace the conventional systems. In MIMO systems, a much higher data rate can be achieved than in a VANET environment. The objectives of the paper to study the capacity of the VANET network associated with new promising MIMO technology. Spatial multiplexing (SM),utilizes the spatial dimension to maximizethe capacity of a link without expanding a bandwidth. The SM gain is achieved throughtransmitting signals concurrently on parallel channels spatially with the same frequency. Capacity calculated over VANETs environments with MIMO/SM techniques, using Rayleigh Fading Channel with BPSK modulation. The results of MATLAB simulation package 2017a, indicate the enhancement in the unit of bit per second per Hertz (b/s/Hz). A maximum capacity improvement for MIMO system over Single Input Single Output (SISO) was achieved by using (4 x 4) system, it is about 16.14 b/s/Hz.   

A Fuzzy Logic-Based Control System for Detection and Mitigation of Blackhole Attack in Vehicular Ad Hoc Network

2019 ◽  
pp. 163-178
Author(s):  
Ankit Kumar ◽  
Pankaj Dadheech ◽  
Mahender Kumar Beniwal ◽  
Basant Agarwal ◽  
Pawan Kumar Patidar
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Vehicular Ad Hoc Network ◽  
Blackhole Attack

Performance Evaluation of AODV and DSR Routing Protocols for Flying Ad hoc Network using Highway Mobility Model

2021 ◽  
pp. 2250008
Author(s):  
Sunil Kr Maakar ◽  
Manju Khurana ◽  
Chinmay Chakraborty ◽  
Deepak Sinwar ◽  
Durgesh Srivastava
Keyword(s):  
Performance Evaluation ◽  
Routing Protocols ◽  
Information Exchange ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Traffic Monitoring ◽  
Mobility Model ◽  
Traffic Surveillance ◽  
On Demand

The Flying Ad hoc Network (FANET) is a special type of mobile ad hoc network (MANET) that provides communications among Unmanned Aerial Vehicles (UAVs). These UAVs can reduce human intervention to a great extent by giving numerous applications under different domains such as transportation, military, healthcare, traffic monitoring, surveillance, etc. In FANET, communication is relatively challenging due to its complex infrastructure, unspecified architecture and rapid mobility of nodes. The work embodied in this paper is focused on traffic surveillance of highways using UAVs. UAVs can help to reduce the number of accidents by sharing real-time as well as the accurate status of highways among vehicles and the control station. On the other hand, they can also be used to track specific vehicles on the road. In FANET, both routing protocols and mobility models play a crucial role in the process of information exchange. In this paper, the comparison and performance evaluation of two well-known reactive routing protocols viz. Ad hoc On-demand Distance Vector (AODV) and Dynamic Source Routing (DSR) have been carried out using highway mobility model for traffic surveillance in FANET environment. Implementation of both protocols has been tested on several traffic patterns, mobility and varying network loads. Both AODV and DSR enable significant performance variations; however, they share on-demand behavior. Packet delivery fraction, average end-to-end delay, normalized routing load, packet loss, routing overhead and throughput are used to analyze the performance of both protocols. Based on experimental analysis using NS-2 under constant bit rate (CBR) and TCP traffic sources, it can be stated that AODV outperforms DSR in almost every aspect.

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