Fuzzy logic based localization for vehicular ad hoc networks

Altoaimy, Lina; Mahgoub, Imad

doi:10.1109/civts.2014.7009487

Cited by 36 publications

(15 citation statements)

References 21 publications

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“…Currently, the only available V2V localisation technique is multilateration which can significantly improve the accuracy of GPS/IMU sensor-based technique when an adequate number of connected vehicles are available. For example, the weighted average localisation in [58] achieved very high accuracy in a network of 200 cars, but the accuracy decreased as the size of the networks decreased. The VANET quality of service also limits the reliability of V2V techniques since network noise will affect the received signals causing erroneous inputs into the localisation algorithm.…”

Section: Discussionmentioning

confidence: 99%

“…The proposed method was evaluated with a network of 10 cars, resulting in a mean localisation error of 2.38m. This approach was further extended in [58] to include Signal to Noise Ratio (SNR) in the determination of weight factors as well, since signal noise can affect the localisation accuracy. The approach was evaluated through multiple simulations with network sizes ranging from 20 to 200 cars.…”

Section: Cooperative Localisation Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

Kuutti

Fallah

Κατσαρός

et al. 2018

IEEE Internet Things J.

667

284

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For an autonomous vehicle to operate safely and effectively, an accurate and robust localisation system is essential. While there are a variety of vehicle localisation techniques in literature, there is a lack of effort in comparing these techniques and identifying their potentials and limitations for autonomous vehicle applications. Hence, this paper evaluates the state-of-the-art vehicle localisation techniques and investigates their applicability on autonomous vehicles. The analysis starts with discussing the techniques which merely use the information obtained from on-board vehicle sensors. It is shown that although some techniques can achieve the accuracy required for autonomous driving but suffer from the high cost of the sensors and also sensor performance limitations in different driving scenarios (e.g. cornering, intersections) and different environmental conditions (e.g. darkness, snow). The paper continues the analysis with considering the techniques which benefit from off-board information obtained from V2X communication channels, in addition to vehicle sensory information. The analysis shows that augmenting off-board information to sensory information has potential to design low-cost localisation systems with high accuracy and robustness however their performance depends on penetration rate of nearby connected vehicles or infrastructure and the quality of network service.

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Section: Discussionmentioning

confidence: 99%

Section: Cooperative Localisation Techniquesmentioning

confidence: 99%

A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

Kuutti

Fallah

Κατσαρός

et al. 2018

IEEE Internet Things J.

667

284

View full text Add to dashboard Cite

show abstract

“…Since fuzzy logic system [27] can control inaccurate and variable information, it is used in solving the routing-associated problems without applying the mathematical models. Fuzzy logic uses linguistic nondigital variables and, thus, can process approximate data [8,28].…”

Section: High Overheadmentioning

confidence: 99%

“…In order to address the existing problem in previous studies, this paper proposes TIHOO, an enhanced hybrid routing protocol. This protocol intelligently employed fuzzy [27,28] and cuckoo [29] approaches by introducing novel fitness functions in which many important parameters for finding the most stable path between the source and the destination node are considered in them.…”

Section: Introductionmentioning

confidence: 99%

TIHOO: An Enhanced Hybrid Routing Protocol in Vehicular Ad-hoc Networks

Yahiabadi

Barekatain

Raahemifar

2019

J Wireless Com Network

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Recently, vehicular ad hoc network (VANET) is greatly considered by many service providers in urban environments. These networks can not only improve road safety and prevent accidents, but also provide a means of entertainment for passengers. However, according to recent studies, efficient routing has still remained as a big open issue in VANETs. In other words, broadcast storm can considerably degrade the routing performance. To address this problem, this research proposes TIHOO, an enhanced intelligent hybrid routing protocol based on improved fuzzy and cuckoo approaches to find the most stable path between a source and a destination node. In TIHOO, the route discovery phase is limited intelligently using the fuzzy logic system and, by limiting the route request messages, the imposed extra overhead can be efficiently controlled. Moreover, in figure of an intelligent hybrid approach, the improved cuckoo algorithm, which is one of the most effective meta-algorithms especially in the large search space, intelligently selects the most stable and optimal route among known routes by calculating an enhanced fitness function. The simulation results using NS2 tool demonstrate that TIHOO considerably improves network throughput, routing overhead, packet delivery ratio, packet loss ratio, and end-to-end delay compared to similar routing protocols.

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“…The design of the knowledgebased rules is based on our understanding of the characteristics of VANETs [37]. Once the fuzzy values of related velocity factor, distance factor, and predicted connection time factor have been calculated and converted to linguistic variables, S uses the IF-THEN rules, as defined in Table 2, to calculate the eligible value of each cooperative vehicle.…”

Section: Fuzzy Inferencementioning

confidence: 99%

Fuzzy logic-based integrity-oriented file transfer for highway vehicular communications

Luo

Cai

Luan

et al. 2018

J Wireless Com Network

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Effective file transfer is fundamental to many applications in highway Vehicular Ad Hoc Networks (VANETs), e.g., social network applications, advertisement distributions, road traffic report, etc. However, due to the sparse development of roadside units (or access points) and the limited connection time between fast-moving vehicles, file transfer is susceptible to frequent interruptions, and accordingly resulting in incomplete file transfers. The incomplete file transfer leads to not only poor user performance with application playback failures, but also a colossal waste of bandwidth. To tackle this issue, in this paper, we consider a bi-directional highway vehicular network scenario where request vehicle and source vehicle are in the opposite direction, and propose a fuzzy logic-based cooperative file transfer scheme (FL-CFT). With the proposed scheme, the request file can be transferred completely from the source vehicle to request vehicle through multiple relay cluster members. As for the selection of relays, in general, finding an optimal relay subject to multiple constrains is an NP-complete problem that cannot be exactly solved in polynomial time. Accordingly, a fuzzy logic approach is utilized to optimally selects relays to help transfer the file and ensure the file integrity, which considers the relative velocity, distance, and predicted connection time among vehicles. The proposed scheme is self-organized and fully distributed, which does not require any assistance from roadside units (or access points). Simulation results show that FL-CFT outperforms the state-of-the-art file transfer schemes in file integrity on highway VANETs.

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Fuzzy logic based localization for vehicular ad hoc networks

Cited by 36 publications

References 21 publications

A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

TIHOO: An Enhanced Hybrid Routing Protocol in Vehicular Ad-hoc Networks

Fuzzy logic-based integrity-oriented file transfer for highway vehicular communications

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