A decision making module for cooperative collision warning systems using Vehicular Ad-Hoc Networks

2013 ◽  
Author(s):  
Besat Zardosht ◽  
Steven Beauchemin ◽  
Michael A. Bauer
Keyword(s):  
Decision Making ◽  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Warning Systems ◽  
Collision Warning ◽  
Hoc Networks ◽  
Collision Warning Systems

ECAS: an efficient and conditional privacy preserving collision warning system in fog-based vehicular ad hoc networks

2020 ◽  
Vol 3 (3-4) ◽  
pp. 205-217
Author(s):  
Zhiguang Qin ◽  
Yuedi Li ◽  
Xin Ye ◽  
Jin Zhou ◽  
Minsheng Cao ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Warning System ◽  
Privacy Preserving ◽  
Collision Warning ◽  
Hoc Networks

Analysis on Fog Computing Enabled Vehicular Ad hoc Networks

2019 ◽  
Vol 16 (10) ◽  
pp. 4356-4361 ◽  
Author(s):  
Seema Gaba ◽  
Kavita ◽  
Sahil Verma
Keyword(s):  
Decision Making ◽  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Fog Computing ◽  
Computing Time ◽  
Vehicular Network ◽  
The Other ◽  
Localization System ◽  
Hoc Networks

The vehicular ad-hoc networks make a simple case of networks which are supposed to be very smart because of the tasks and crucial decision making they have to carry out. Since they are on the move, the transmission and reception of information has to be quick in order to make the networks efficient in term of computing time. Fog enabled VANET make the systems more capable by processing much of the information locally and only sending crucial decision making to the cloud which saves time and worth for all sub dependent systems. In this work we have reviewed the two fog enabled VANET schemes, one is SIVNFC (Secure intelligent vehicular network using fog computing) and the other is SOLVE (localization system frameworks).

scholarly journals An Intelligent Fuzzy Based Location Aided Routing in Vehicular Ad Hoc Networks

2019 ◽  
Vol 8 (11) ◽  
pp. 1946-1955 ◽  
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Key Factor ◽  
Improved Performance ◽  
Hoc Networks ◽  
Fuzzy Logic Technique

In the Vehicular Ad hoc Networks (VANET), performance is the key factor for the development of a standard routing protocol. The general characteristics of VANET are dynamic vehicle network topology and mobility. The choice of a better next forwarding hop vehicle among the available neighboring vehicles will lead better use of the route and also minimize the delays. However, there is a need for an efficient decision making in selecting the route for successful packet delivery. This paper proposes a new hybrid routing protocol called “Fuzzy assisted Location Aided Routing using Cache” (FLAR-C). FLAR-C uses a fuzzy logic technique that helps in better decision making to select the next hop for packet forwarding. Metrics like distance, direction, velocity, density and position of next hop vehicle are placed into the fuzzy logic system. And moreover, the proposed technique uses cache schemes to forward packets to the destinations under the Geocast zone. An experimental study is carried out to prove the performance of the proposed protocol and the simulation results highlights that FLAR-C is more effective in selecting the better forwarding hop for improved performance

Survey on Risk-Based Decision-Making Models for Trust Management in VANETs

2019 ◽  
pp. 52-73
Author(s):  
Junaid Mohammad Qurashi
Keyword(s):  
Decision Making ◽  
Ad Hoc Networks ◽  
Mobile Networks ◽  
Intelligent Transportation Systems ◽  
Trust Management ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Transportation Systems ◽  
Future Research ◽  
Hoc Networks

Ubiquitous use of wireless technology and ad-hoc networks have paved the way for intelligent transportation systems also known as vehicular ad-hoc networks (VANETs). Several trust-based frameworks have been proposed to counter the challenges posed by such fast mobile networks. However, the dynamic nature of VANETs make it difficult to maintain security and reliability solely based on trust within peers. Decision-making upon collaborative communications is critical to functioning of VANETs in safe, secured, and reliable manner. Decision taken over malicious or wrong information could lead to serious consequences. Hence, risk management within paradigm of trust becomes an important factor to be considered. In this chapter, a survey of the existing works having incorporated risk factor in their trust models has been explored to give an overview of approaches utilized. The parameters chosen in these models are analyzed and categorized based on the approaches modeled. Finally, future research directions will be presented.

Vehicular Cloud Computing

2018 ◽  
pp. 30-56
Author(s):  
T. Kavitha
Keyword(s):  
Cloud Computing ◽  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Vehicular Network ◽  
Collision Warning ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud ◽  
The Difference ◽  
Hoc Networks

Cloud computing provides a way to avail hardware and software to provide services over the networks to users, whereas in mobile cloud computing, mobile devices are a part of cloud users and service providers. Vehicular ad hoc networks (VANETs) are developed with the help of mobile ad hoc networks (MANET) with the difference that the data are exchanged among mobile vehicles to enhance the road safety and traffic efficiency. VANETs safety applications includes traffic signal violation, curve speed warning, emergency brake lights, pre-crash sensing, collision warning, left turn assist, lane change warning, and stop sign assist. But due to the requirement of smaller size, one of the significant challenges of the vehicular network is the limited resource with respect to memory, computation power, and bandwidth. It leads to slow data processing capability. However, the demanding requirement of emerging application is complex computation with high storage capacity. This necessity can be fulfilled by sharing the available resource among all the vehicles which are in near proximity. It can be achieved by integrating the vehicular network with cloud computing which is called as vehicular cloud computing (VCC). VCC is a new technological shift that can take the advantages of cloud computing to afford the services to drivers of VANET. But VCC is still in early stage and due to its unique features and applications it has become a significant emerging research area which needs to be explored further.

Comparing Artificial Bees Colony Algorithm and Firefly Algorithm to Achieve Optimization in Route Selection Processing Time in VANETs

2021 ◽  
Vol 4 (2) ◽  
pp. 159-164
Author(s):  
Syeda Sundus Zehra ◽  
Syed Muhammad Nabeel Mustafa ◽  
Rehan Qureshi
Keyword(s):  
Decision Making ◽  
Ad Hoc Networks ◽  
Firefly Algorithm ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Intelligent Transportation System ◽  
Traditional Approach ◽  
Route Selection ◽  
Hoc Networks ◽  
Signal Fading

In achieving Intelligent Transportation System (ITS), a new trending area in networking is Vehicular Ad-hoc Networks (VANETs). It is a sub branch of Mobile Ad-hoc Networks (MANETs) where all the nodes or devices are interlinked and interconnected wirelessly. The challenges that a VANET faces while communicating within a network are signal fading, routing decision making and connectivity hitch. All these three mentioned problems have already been discussed and well researched in history by using conventional techniques as well as intelligent techniques based on artificial intelligence. Amongst all these three issues we are focusing on mitigating decision making problem for optimal route selection. In order to solve this issue, researchers have found that meta-heuristic intelligent algorithms such as, Artificial Bees Colony (ABC) and Firefly Algorithm (FFA) are more efficient algorithms as compared to traditional approach. In this paper we compared ABC and FFA to check which algorithm runs faster in order to achieve routing decision in lesser time

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