scholarly journals A Link Distribution Algorithm with Efficient Relay Node Optimization for Congestion Control in Urban Vanets

2019 ◽  
Vol 8 (10) ◽  
pp. 592-596
Keyword(s):  
Local Density ◽  
Research Work ◽  
Relay Node ◽  
Link Failure ◽  
Network Simulator ◽  
Transmission Power ◽  
The Road ◽  
On The Road ◽  
Link Distribution ◽  
High Congestion

This research work develops a new algorithm i.e. Link distribution algorithm and efficient link distribution algorithm. A Link distribution algorithm is the distribution of the link to the nodes so that communication between the nodes takes place in case of any link failure whereas efficient link distribution algorithm is distribution of the packets to the nodes which has high transmission power. The technique used in Link distribution algorithm (LDA) is link establishment whenever there is any link failure happen we apply this concept which is LDA whereas the technique used in efficient link distribution algorithm (ELDA) is relay node selection the relay node is selected based upon the received signal strength ratio (RSSI) value and which node is having high RSSI value that node we allocate the link. The above algorithms can be applied wherever there is high congestion on the road due to the high congestion link failure will happen and due to the link failure emergency event occurs. Results of model achieved in a realistic state of affairs validate our theoretical deliberation and confirm the efficiency and the efficacy of our protocol by screening significant expansion in terms of busy ratio, collision rate, deviation, local density and transmission power compared to previous scheme ETSI DCC. The work has been successfully done with the help open source network simulator NS3.

scholarly journals Transmission Power Based Intelligent Model in VANET

2020 ◽  
pp. 768-775
Author(s):  
Pushpender Sarao ◽  
Keyword(s):  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Research Work ◽  
Network Simulator ◽  
Transmission Power ◽  
Neuro Fuzzy ◽  
Proposed Model ◽  
Hoc Networks ◽  
Intelligent Model ◽  
Research Domain

Vehicular ad-hoc networks is very popular research domain in which research work is going on at various aspects like routing the data without loss end-to-end. Routing in such networks is very tedious task due to frequently changing the position of vehicles location-wise. In this paper an intelligent model has been developed on the basis of adaptive neuro fuzzy system for OLSR routing protocol in VANET. The proposed model is designed based on input parameters average goodput and mac/phy-overhead. Based on these parameters, transmission power can be predicted. Triangular and Gaussian membership functions have been applied for designing the decision model. A comparison work also has been carried out for Gaussian, triangular functions and NS-3 based results. At the same time, the model is investigated by simulation work carried out on network simulator-3 (NS-3) platform.

scholarly journals Roads at risk – traffic detours from debris flows in southern Norway

2014 ◽  
Vol 2 (10) ◽  
pp. 6623-6651 ◽  
Author(s):  
N. K. Meyer ◽  
W. Schwanghart ◽  
O. Korup ◽  
F. Nadim
Keyword(s):  
Debris Flows ◽  
Road Network ◽  
Traffic Load ◽  
Extreme Weather Events ◽  
Northwestern Part ◽  
Link Failure ◽  
The Road ◽  
On The Road ◽  
Southern Norway ◽  
The Impact

Abstract. Globalization and interregional exchange of people, goods, and services has boosted the importance of and reliance on all kinds of transport networks. The linear structure of road networks is especially sensitive to natural hazards. In southern Norway, steep topography and extreme weather events promote frequent traffic disruption caused by debris flows. Topographic susceptibility and trigger frequency maps serve as input into a hazard appraisal at the scale of first-order catchments to quantify the impact of debris flows on the road network in terms of a failure likelihood of each link connecting two network vertices, e.g., road junctions. We compute total additional traffic loads as a function of traffic volume and excess distance, i.e. the extra length of an alternative path connecting two previously disrupted network vertices using a shortest-path algorithm. Our risk metric of link failure is the total additional annual traffic load expressed as vehicle kilometers because of debris-flow related road closures. We present two scenarios demonstrating the impact of debris flows on the road network, and quantify the associated path failure likelihood between major cities in southern Norway. The scenarios indicate that major routes crossing the central and northwestern part of the study area are associated with high link failure risk. Yet options for detours on major routes are manifold, and incur only little additional costs provided that drivers are sufficiently well informed about road closures. Our risk estimates may be of importance to road network managers and transport companies relying of speedy delivery of services and goods.

scholarly journals On the Application of Zone Flooding in a Traffic Warning System

2004 ◽  
Vol 33 (573) ◽  
Author(s):  
Lars Michael Kristensen ◽  
Kenneth-Daniel Nielsen
Keyword(s):  
Simulation Model ◽  
Warning System ◽  
Network Simulator ◽  
Font Size ◽  
Communication Infrastructure ◽  
State Information ◽  
The Road ◽  
System A ◽  
On The Road ◽  
Bounded Area

<span style="font-family: Times New Roman; font-size: x-small;"><span style="font-family: Times New Roman; font-size: x-small;"><p>The LIWAS Traffic Warning System aims at providing early warning to vehicles about slippery conditions on the road. The LIWAS system is currently under development and consists of two main parts: sensors for measuring and classifying the state of the road, and a communication infrastructure for distributing road-state information to vehicles. This paper concentrates on the communication infrastructure, and considers the application of zone flooding for implementing the distribution of road-state information. Zone flooding combines flooding and geocasting to distribute road-state information in a geographically bounded area. To evaluate the applicability of zone flooding in the LIWAS system, a simulation model has been created using the Network Simulator 2. The simulation model captures a representative road-scenario and has been used to evaluate several flooding protocols when used to implement zone flooding. The primary evaluationcriteria are the load on the network and the capability to warn other vehicles in time.</p></span></span>

Optimal adaptive data dissemination protocol for VANET road safety using optimal congestion control algorithm

2019 ◽  
Vol 12 ◽  
Author(s):  
Paola Ambrosi ◽  
Andrea Becchetti ◽  
Bhavani S ◽  
Srimathi C
Keyword(s):  
Road Safety ◽  
Data Dissemination ◽  
Cluster Formation ◽  
Cluster Head ◽  
Relay Node ◽  
Traffic Information ◽  
Network Simulator ◽  
Network Congestion ◽  
Control Overhead ◽  
On The Road

: In vehicular ad-hoc network (VANET), to disseminate gathered data’s traffic information and road conditions are forward from source vehicle to many destination vehicles on the road. The process of data dissemination plays important role in VANET and used to improve the quality of travel to avoid unwanted accidents. The multiple routine messages are needed to provide the required safety and non-safety applications. Many existing protocols use such type of message activities to ensure the fair road safety without concentrate on network congestion. In this paper, we investigate the congestion problem due to the control overhead messages and propose an optimal adaptive data dissemination protocol (OAddP). The proposed OAddP utilize the optimal clustering and control overhead reduction algorithms to maximize the data dissemination quality and minimize the network congestion. The chaotic fish swarm optimization (CFSO) algorithm used to perform a clustering, which consist of cluster formation and cluster head (CH) selection. Here, the CH node acts as candidate (relay) node to forward data from source-destination. Then, a predictor based decision making (PDM) algorithm used to reduce the control overhead messages in network. Network simulator (NS-2) results show that the proposed OAddP protocol perform very efficient than existing protocols in terms of end-to-end delay, success ratio, redundancy rate, collision rate, number of control OH messages, propagation distance and dissemination efficiency.

scholarly journals IoT based Smart Motor Cycle Helmet

2021 ◽  
Vol 3 (1) ◽  
pp. 15-22
Author(s):  
Bhavesh Shahare ◽  
Shivani Chawde ◽  
Rakesh Gudafwar ◽  
Harshada Pal ◽  
Purvi Bobade ◽  
...  
Keyword(s):  
Head Injuries ◽  
Research Work ◽  
Emergency Situation ◽  
Fall Detection ◽  
The Road ◽  
Motor Cycle ◽  
Alert Message ◽  
On The Road ◽  
Solar Powered ◽  
Two Wheeler

The main purpose of this paper is to urge the two wheeler motor cycle riders to wear a helmet. In India, most of the death cases occur due to the two wheeler accidents. In most of the cases, rider suffers head injuries, which leads to death. In order to reduce the number of accidents, this research work proposes a smart helmet, which will be very useful for the two-wheeler riders. In general, two-wheeler accidents occur due to the high consumption of alcohol by the rider. The proposed smart helmet ensures the safety of the rider, while driving on the road. The proposed model comprises of an alcohol detection, accident identification, location tracking, hands-free device, solar powered module and fall detection. The proposed smart helmet will be connected to the ignition. Henceforth, if the rider does not wear a helmet, the ignition will not be triggered to start the two-wheeler. For handling an emergency situation, GSM module is used to send an alert message to the registered mobile number.

scholarly journals Shared intelligent optimum route selection through traffic management system in VANET– SIRS

2017 ◽  
Vol 7 (1.2) ◽  
pp. 125
Author(s):  
Mukund B Wagh ◽  
N. Gomathi
Keyword(s):  
Fuzzy Logic ◽  
High Speed ◽  
Ad Hoc ◽  
Relay Node ◽  
Signal Strength ◽  
Delivery Ratio ◽  
Vehicle Speed ◽  
The Road ◽  
Vehicle Mobility ◽  
On The Road

A Vehicular Ad-hoc Network (VANET) consists of the vehicle to vehicle and vehicle to roadside communication. Growing the density of the vehicles on the road causes flooding while transferring packets from a source to one or multiple destinations over a VANET. However, increasing vehicles on road may causes a problem such as redundancy, congestion, collision and increasing delay though receiving emergency warnings. As long as reliable and proficient multi-hop broadcast in vehicular ad hoc networks is challenging one. In the proposed system commence a new protocol which uses the character of elegant route establishment and selection method for transfer information to the destination (dst) with minimum redundancy, delay and highest bits per second delivery. In some environment vehicles are deployed in a dense manner, and it can move at a high speed. Adjacent Access Points (APs) on the road find out route information from their past report gatherings which use a fuzzy logic to select routing conclusion. This approach consists of isolating the whole network area into clusters. Based on which an optimized route is chosen using the input parameters as vehicle density, distance from the adjacent AP, vehicle mobility, receiving signal strength and delay should be jointly measured in the relay node selection. Though, these computation conflicts with each other depend on vehicle mobility. Hence, we employ fuzzy logic to handle this imprecise information to select forwarding vehicles by mutually taking into account of vehicle distance (d), mobility (v) and Receiving Signal Strength (RSS). The selected vehicle can provide an assure data forwarding with a high competence. The performance of the proposed scheme is evaluated on the metrics such as end-to-end delay, packet delivery ratio by varying vehicle speed, and density of vehicles.

scholarly journals Roads at risk: traffic detours from debris flows in southern Norway

2015 ◽  
Vol 15 (5) ◽  
pp. 985-995 ◽  
Author(s):  
N. K. Meyer ◽  
W. Schwanghart ◽  
O. Korup ◽  
F. Nadim
Keyword(s):  
Debris Flows ◽  
Road Network ◽  
Linear Structure ◽  
Traffic Load ◽  
Extreme Weather Events ◽  
Link Failure ◽  
The Road ◽  
On The Road ◽  
Southern Norway ◽  
The Impact

Abstract. Globalisation and interregional exchange of people, goods, and services has boosted the importance of and reliance on all kinds of transport networks. The linear structure of road networks is especially sensitive to natural hazards. In southern Norway, steep topography and extreme weather events promote frequent traffic disruption caused by debris flows. Topographic susceptibility and trigger frequency maps serve as input into a hazard appraisal at the scale of first-order catchments to quantify the impact of debris flows on the road network in terms of a failure likelihood of each link connecting two network vertices, e.g. road junctions. We compute total additional traffic loads as a function of traffic volume and excess distance, i.e. the extra length of an alternative path connecting two previously disrupted network vertices using a shortest-path algorithm. Our risk metric of link failure is the total additional annual traffic load, expressed as vehicle kilometres, because of debris-flow-related road closures. We present two scenarios demonstrating the impact of debris flows on the road network and quantify the associated path-failure likelihood between major cities in southern Norway. The scenarios indicate that major routes crossing the central and north-western part of the study area are associated with high link-failure risk. Yet options for detours on major routes are manifold and incur only little additional costs provided that drivers are sufficiently well informed about road closures. Our risk estimates may be of importance to road network managers and transport companies relying on speedy delivery of services and goods.

An Efficient Data Dissemination Scheme for Warning Messages in Vehicular Ad Hoc Networks

2013 ◽  
pp. 308-327
Author(s):  
Muhammad A. Javed ◽  
Jamil Y. Khan
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Dissemination ◽  
Network Simulator ◽  
The Road ◽  
Warning Messages ◽  
On The Road ◽  
Hoc Networks

Vehicular ad hoc networks (VANETs) are expected to be used for the dissemination of emergency warning messages on the roads. The emergency warning messages such as post crash warning notification would require an efficient multi hop broadcast scheme to notify all the vehicles within a particular area about the emergency. Such emergency warning applications have low delay and transmission overhead requirements to effectively transmit the emergency notification. In this paper, an adaptive distance based backoff scheme is presented for efficient dissemination of warning messages on the road. The proposed scheme adaptively selects the furthest vehicle as the next forwarder of the emergency message based on channel conditions. The detailed performance figures of the protocol are presented in the paper using simulations in the OPNET network simulator. The proposed protocol introduces lower packet delay and broadcast overhead as compared to standard packet broadcasting protocols for vehicular networks.

scholarly journals Emergency Messages Dissemination Challenges Through Connected Vehicles for Efficient Intelligent Transportation Systems: A Review

2020 ◽  
Vol 17 (4) ◽  
pp. 1304
Author(s):  
Muhammad Akram Akram Mujahid ◽  
Kamalrulnizam Bin Abu Bakar ◽  
Tasneem S.J Darwish ◽  
Fatima Zuhra ◽  
Muhammad Aamer Ejaz ◽  
...  
Keyword(s):  
Wireless Communication ◽  
Intelligent Transportation Systems ◽  
Road Safety ◽  
Performance Metrics ◽  
Heavy Traffic ◽  
Relay Node ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
The Road ◽  
On The Road

Recent growth in transport and wireless communication technologies has aided the evolution of Intelligent Transportation Systems (ITS). The ITS is based on different types of transportation modes like road, rail, ocean and aviation. Vehicular ad hoc network (VANET) is a technology that considers moving vehicles as nodes in a network to create a wireless communication network. VANET has emerged as a resourceful approach to enhance the road safety. Road safety has become a critical issue in recent years. Emergency incidents such as accidents, heavy traffic and road damages are the main causes of the inefficiency of the traffic flow. These occurrences do not only create the congestion on the road but also increase the fuel consumption and pollute the environment. Emergency messages notify the drivers about road accidents and congestions, and how to avoid the dangerous zones. This paper classifies the emergency messages schemes into three categories based on relay node, clustering and infrastructure. The capabilities and limitations of the emergency messages schemes are investigated in terms of dissemination process, message forward techniques, road awareness and performance metrics. Moreover, it highlights VANET-based challenges and open research problems to provide the solutions for a safer, more efficient and sustainable future ITS.

scholarly journals Clustering and multicasting scheme for fog computing based vehicular ad hoc network

2018 ◽  
Vol 7 (2.27) ◽  
pp. 82
Author(s):  
Tejinder Pal Singh ◽  
Er. Nitika Kapoor
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Fog Computing ◽  
Research Work ◽  
High Mobility ◽  
The Road ◽  
Road Side Unit ◽  
Adhoc Network ◽  
On The Road ◽  
Computing Scheme

The vehicular adhoc network is the data oriented in network in which information should be passed with least delay. The vehicle adhoc network is the decentralized type of network in which vehicles to vehicle and vehicle to road side communication is possible. The Fog computing is the advance computing scheme to store small amount of data. The routing is the major issue of vehicular adhoc network due to high mobility of the vehicle nodes. In this research work, multicasting based routing scheme is proposed for path establishment from source to destination. In the proposed scheme root vehicles are selected for path establishment from source to destination. When the data will be received on the road side unit then k-mean clustering will be applied which divide data into clusters which define that either it can be saved on cloud or on fog server based on quantity of data. The performance of proposed scheme is testing in NS2 and proposed scheme performs well in terms of PDR and route lifetime  

Sign in / Sign up

Export Citation Format

Share Document