scholarly journals Cooperative Localization Improvement Using Distance Information in Vehicular Ad Hoc Networks

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5231 ◽  
Author(s):  
Felipe Lobo ◽  
Danilo Grael ◽  
Horacio Oliveira ◽  
Leandro Villas ◽  
Abdulaziz Almehmadi ◽  
...  

In vehicular ad hoc networks (VANets), a precise localization system is a crucial factor for several critical safety applications. The global positioning system (GPS) is commonly used to determine the vehicles’ position estimation. However, it has unwanted errors yet that can be worse in some areas, such as urban street canyons and indoor parking lots, making it inaccurate for most critical safety applications. In this work, we present a new position estimation method called cooperative vehicle localization improvement using distance information (CoVaLID), which improves GPS positions of nearby vehicles and minimize their errors through an extended Kalman filter to execute Data Fusion using GPS and distance information. Our solution also uses distance information to assess the position accuracy related to three different aspects: the number of vehicles, vehicle trajectory, and distance information error. For that purpose, we use a weighted average method to put more confidence in distance information given by neighbors closer to the target. We implement and evaluate the performance of CoVaLID using real-world data, as well as discuss the impact of different distance sensors in our proposed solution. Our results clearly show that CoVaLID is capable of reducing the GPS error by 63%, and 53% when compared to the state-of-the-art VANet location improve (VLOCI) algorithm.

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3571 ◽  
Author(s):  
Antonio Guillen-Perez ◽  
Maria-Dolores Cano

The advent of flying ad hoc networks (FANETs) has opened an opportunity to create new added-value services. Even though it is clear that these networks share common features with its predecessors, e.g., with mobile ad hoc networks and with vehicular ad hoc networks, there are several unique characteristics that make FANETs different. These distinctive features impose a series of guidelines to be considered for its successful deployment. Particularly, the use of FANETs for telecommunication services presents demanding challenges in terms of quality of service, energy efficiency, scalability, and adaptability. The proper use of models in research activities will undoubtedly assist to solve those challenges. Therefore, in this paper, we review mobility, positioning, and propagation models proposed for FANETs in the related scientific literature. A common limitation that affects these three topics is the lack of studies evaluating the influence that the unmanned aerial vehicles (UAV) may have in the on-board/embedded communication devices, usually just assuming isotropic or omnidirectional radiation patterns. For this reason, we also investigate in this work the radiation pattern of an 802.11 n/ac (WiFi) device embedded in a UAV working on both the 2.4 and 5 GHz bands. Our findings show that the impact of the UAV is not negligible, representing up to a 10 dB drop for some angles of the communication links.


2018 ◽  
Vol 4 (3) ◽  
pp. 189-199 ◽  
Author(s):  
S.K. Bhoi ◽  
P.M. Khilar ◽  
M. Singh ◽  
R.R. Sahoo ◽  
R.R. Swain

2011 ◽  
Vol 219-220 ◽  
pp. 351-357 ◽  
Author(s):  
Jin Song Gui ◽  
Zhi Gang Chen ◽  
Xiao Heng Deng

In vehicular ad hoc networks, uncooperative behaviors will impact the reliability of comfort applications, as well as drivers’ decisions, and even invoke serious traffic accidents. In this paper, we propose a novel game incentive scheme to stimulate cooperation among vehicle nodes, consider selfish nodes’ expectations to future payoff and their long-term desires for profit, and show analytically the three incentive-compatible conditions under which selfish nodes will be deterred from cheating by the subsequent punishments. We also discuss the impact on selfish nodes’ behavior, which is caused by their willingness for future collaboration, the parameter values of punishment mechanism and the variation of network load. Simulation results show that, the increase of network load and the deterioration of node’s future profit expectation will motivate nodes toward self-interested action, but our scheme can neutralize this tendency by the careful configuration of punishment parameters, and have favorable incentive effect.


2018 ◽  
Vol 72 ◽  
pp. 774-788 ◽  
Author(s):  
Kashif Naseer Qureshi ◽  
Abdul Hanan Abdullah ◽  
Omprakash Kaiwartya ◽  
Saleem Iqbal ◽  
Rizwan Aslam Butt ◽  
...  

Information ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 443
Author(s):  
Ikjot Saini ◽  
Benjamin St. Amour ◽  
Arunita Jaekel

Safety applications in Vehicular Ad-hoc Networks (VANETs) often require vehicles to share information such as current position, speed, and vehicle status on a regular basis. This information can be collected to obtain private information about vehicles/drivers, such as home or office locations and frequently visited places, creating serious privacy vulnerabilities. The use of pseudonyms, rather than actual vehicle IDs, can alleviate this problem and several different Pseudonym Management Techniques (PMTs) have been proposed in the literature. These PMTs are typically evaluated assuming a random placement of attacking stations. However, an adversary can utilize knowledge of traffic patterns and PMTs to place eavesdropping stations in a more targeted manner, leading to an increased tracking success rate. In this paper, we propose two new adversary placement strategies and study the impact of intelligent adversary placement on tracking success using different PMTs. The results indicate that targeted placement of attacking stations, based on traffic patterns, road type, and knowledge of PMT used, can significantly increase tracking success. Therefore, it is important to take this into consideration when developing PMTs that can protect vehicle privacy even in the presence of targeted placement techniques.


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