An energy-efficient adaptive beaconing rate management for pedestrian safety: A fuzzy logic-based approach

Alemneh, Esubalew; Senouci, Sidi‐Mohammed; Messous, Mohamed Ayoub

doi:10.1016/j.pmcj.2020.101285

Cited by 11 publications

(6 citation statements)

References 31 publications

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“…Its application allows one to obtain more accurate results than when using traditional analytical models, since it allows the most adequate reflection of the uncertainty aspects of the real environment [8]. Fuzzy modeling is widely represented in road safety studies, in particular in [9,10].…”

Section: Methodsmentioning

confidence: 99%

Fuzzy modeling of the road traffic hazard level

2021

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The article is devoted to the author's concept development of the short-term road safety management on the federal roads in Russia. The results of development the rule for calculating hazard level depending on the road accidents risk are presented. The mathematical basis of the research is fuzzy modeling. The main stages of modeling are performed using the FisPro software. The concept of acceptable risk has been implemented based on the target values of state programs to improve traffic safety. The developed rule base is the basis for determining the hazard level, which can be the basis for calculating the main parameter of short-term road safety management – the hazard level.

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Section: Methodsmentioning

confidence: 99%

Fuzzy modeling of the road traffic hazard level

2021

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“…Results show that the proposed solution enhances the total battery lifetime compared to a full rate beaconing case. Authors of [135] have also suggested the adaptation of the beaconing rate according to the predicted collision risk level. They proposed an energy-efficient fuzzy logic adaptive beaconing rate management system to overcome the mobile devices' energy consumption limitations.…”

Section: Energy Consumptionmentioning

confidence: 99%

“…The difference between the two previous works is that the method based on fuzzy logic model considers many types of factors that affect collision risks that have been neglected in [75]. Moreover, three collision risk levels (high, medium, low) have been defined in [135] instead of two in [75]. In [127], authors proposed a new neighbouring scheme that optimize the standard policy to adapt the VAM transmission frequency with respect to the energy consumption constrains for vulnerable road users.…”

Section: Energy Consumptionmentioning

confidence: 99%

“…The use of AI in communication-based collision avoidance systems for VRU is still limited and need to be further investigated. It can benefit from multiple data sources, as in fuzzy systems [74,114,135] where the weather conditions, the environment features, the driver and the VRU characteristics are fed into a fuzzy engine to determine the collision risk level. Moreover, learning can intelligently make decision through massive amount of communication data, or sensors [159] and environment information through data fusion [160].…”

Section: Open Issuesmentioning

confidence: 99%

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5G-enabled V2X communications for vulnerable road users safety applications: a review

2022

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Intelligent Transportation System (ITS) is continuously evolving alongside communication technologies and autonomous driving, giving way to new applications and services. Considering the significant rise in traffic casualties, protecting vulnerable road users (VRU), such as pedestrians, cyclists, motorcycles, animals, etc., has become ever more critical. That said, technological advances alone can not meet the requirements of such crucial applications. Therefore, combining them with architectural revolutions, particularly cloud, fog, and edge computing, is essential. In this review, we scrutinize the VRU safety application with regard to technological evolution. This review establishes the foundations for designing resilient, more reliable, end-to-end VRU protection services. It illustrates the possibility of combining the performance of different technologies through exploiting 5G architectural advantages (function placement, direct/indirect communication, etc.) for the intended application. In the context of 5G architecture, collision avoidance systems consider network and application-related challenges and solutions. This survey provides standardization, studies, and project efforts related to the use case and considers the different types of messages in the V2VRU communication-based safety application. We investigate how adapting the application parameters to the network state and devices' available resources can use network resources efficiently and provide reliable services.

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“…Nevertheless, the increase in the beacon transmission power or the frequency of beacons (beacon rate) may negatively affect the routing performance due to the limitations of the wireless link's bandwidth and network resources. Therefore, the trade-off between the beacon rate overhead and the accuracy of routing information (precision) is still an open challenge in ad hoc networks [20,21].…”

Section: Introductionmentioning

confidence: 99%

AFB-GPSR: Adaptive Beaconing Strategy Based on Fuzzy Logic Scheme for Geographical Routing in a Mobile Ad Hoc Network (MANET)

Al-Essa,

Al-Suhail

2023

Computation

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In mobile ad hoc networks (MANETs), geographical routing provides a robust and scalable solution for the randomly distributed and unrestricted movement of nodes. Each node broadcasts beacon packets periodically to exchange its position with neighboring nodes. However, reliable beacons can negatively affect routing performance in dynamic environments, particularly when there is a sudden and rapid change in the nodes’ mobility. Therefore, this paper suggests an improved Greedy Perimeter Stateless Routing Protocol, namely AFB-GPSR, to reduce routing overhead and increase network reliability by maintaining correct route selection. To this end, an adaptive beaconing strategy based on a fuzzy logic scheme (AFB) is utilized to choose more optimal routes for data forwarding. Instead of constant periodic beaconing, the AFB strategy can dynamically adjust beacon interval time with the variation of three network parameters: node speed, one-hop neighbors’ density, and link quality of nodes. The routing evaluation of the proposed protocol is carried out using OMNeT++ simulation experiments. The results show that the AFB strategy within the GPSR protocol can effectively reduce the routing overhead and improve the packet-delivery ratio, throughput, average end-to-end delay, and normalized routing load as compared to traditional routing protocols (AODV and GPSR with fixed beaconing). An enhancement of the packet-delivery ratio of up to 14% is achieved, and the routing cost is reduced by 35%. Moreover, the AFB-GPSR protocol exhibits good performance versus the state-of-the-art protocols in MANET.

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An energy-efficient adaptive beaconing rate management for pedestrian safety: A fuzzy logic-based approach

Cited by 11 publications

References 31 publications

Fuzzy modeling of the road traffic hazard level

Fuzzy modeling of the road traffic hazard level

5G-enabled V2X communications for vulnerable road users safety applications: a review

AFB-GPSR: Adaptive Beaconing Strategy Based on Fuzzy Logic Scheme for Geographical Routing in a Mobile Ad Hoc Network (MANET)

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