Enabling vehicular mobility in city-wide IEEE 802.11 networks through predictive handovers

Mouton, Maximilien; Castignani, German; Frank, Raphaël; Engel, Thomas

doi:10.1016/j.vehcom.2015.02.001

Cited by 12 publications

(4 citation statements)

References 26 publications

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“…In several studies, the power level of received signal RSS (Received Signal Strength) in the WLAN (also referred as WiFi) [5] is estimated depending on the distance to the transmitter. Estimates were performed both theoretically, for example, using two-ray flat-earth, free-space path loss or log-normal models [6], [7], and experimentally by performed RSS measurements [8], [9]. In practice, such multipath propagation causes fluctuations in the power of the received signal.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Received Signal Power Level and Throughput Depending on Distance to Transmitter in Testbed for Automotive WLAN IEEE 802.11ac Communication Network

Ancans

Pētersons

Jerjomins

et al. 2022

Latvian Journal of Physics and Technical Sciences

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WLAN IEEE 802.11ac is one of the wireless network technologies that can be used for ITS (Intelligent Transport Systems) needs, in particular for providing vehicle passengers with access to the data transmission network. To evaluate the performance of such automotive wireless access networks, it is necessary to perform experimental measurements. By conducting the throughput measurements in WLAN-based automotive communications testbed, it has been observed that the throughput of the communication channel decreases and the received signal becomes weaker as the vehicle moves away from the wireless access point. The aim of the research is to verify theoretically whether there is a correlation between the received signal power level and the throughput of the communication channel depending on the distance to the transmitter. To calculate the received signal power depending on the distance to the transmitter, a log-normal signal propagation model can be used, which takes into account random signal fluctuations that are described by the Nakagami distribution. Further, based on the obtained results, Shannon’s theorem can be used to calculate the maximum theoretical throughput of the communication channel. The analysis of the obtained results shows that a correlation exists between the received signal power level and the throughput of the communication channel depending on the distance to the transmitter. The performed theoretical calculations justify the experimentally obtained results.

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Section: Related Workmentioning

confidence: 99%

Evaluation of Received Signal Power Level and Throughput Depending on Distance to Transmitter in Testbed for Automotive WLAN IEEE 802.11ac Communication Network

Ancans

Pētersons

Jerjomins

et al. 2022

Latvian Journal of Physics and Technical Sciences

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show abstract

“…In addition, Arshad et al proposed topology‐aware handover skipping mathematical model to use vehicle location and cell size into account to make handover decisions, and consequently, it prevents unnecessary handovers along the vehicle route. Furthermore, Mouton et al proposed a predictive handover mechanism called coper, which considers vehicle's trajectory, road topology, and network deployment information …”

Section: Related Work On Handover Solutions For Uvanetmentioning

confidence: 99%

“…The limitations of previous literature studies are basically divided into three points. Firstly, RSSI is not reliable parameters to be used in handover management in urban area because interference and noise degrade the quality of RSSI.…”

Section: Related Work On Handover Solutions For Uvanetmentioning

confidence: 99%

An effective handover management based on SINR and software‐defined network over urban vehicular ad hoc networks

Ahmed

2019

Trans Emerging Tel Tech

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Urban vehicular ad hoc network (UVANET) is a modality of high-topology variation MANET where vehicles travel across constrained layout of the roads and tall buildings, which eventually results in shadowing effects. One of the critical challenges in UVANET is the handover process that happens when a vehicle changes its association with the roadside unit. Urban area suffers from high vehicular density at traffic signals, and vehicle slowdowns caused by speed limits, frequent link disconnection caused by signal attenuation due to obstacles.Thus, it is difficult for UVANET to disseminate the packets to their destinations located in a specified area. This paper presents an effective handover management that calculates the signal-to-interference-plus-noise ratio (SINR) to ultimately determine the optimal cluster head for seamless handover in UVANET. It also utilizes the software-defined network to resolve the problem of handover failure in UVANET. The finding in the experimental results shows that the developed association clustering mechanism based on SINR significantly outperforms the baseline association mechanism. More importantly, it can resolve different types of handover problems that improved the quality of service in terms of throughput, handover latency, packet loss ratio, and handover failure ratio, when compared to the baseline handover mechanisms. Trans Emerging Tel Tech. 2019;30:e3787. wileyonlinelibrary.com/journal/ett FIGURE 1 SDN-based VANET handover management architecture. LOS, line-of-sight; SDN, software-defined network; VANET, vehicular ad hoc network; V2R, vehicle-to-roadside unit; V2V, vehicle-to-vehicle the efficiency of communication between vehicles in UVANET. Essentially, the communication in UVANET based on software-defined network (SDN) can be classified into two main types: vehicle-to-vehicle (V2V) and vehicle-to-roadside unit (V2R). 4,5The controller base station has the role of SDN controller, which can guide the vehicles to make handover decisions based on several metrics such as vehicles speed and direction, location of vehicles, received signal strength indication (RSSI), and roadside unit (RSU) congestion. Handover in UVANET is a method to change the management of operative communication from one RSU to another. In seamless handover, the operative communication between vehicles should be continued while they are mobile from one RSU to another without perceptible latency. Many literature research studies proposed various solutions for handover in UVANET; however, they did not revoke the crucial difficulties of handover including quality of connection reduction and degradation of the QoS performance of the UVANET. Moreover, the characteristic of UVANET can cause enormous types of unnecessary handovers, which consumes more energy in order to control traffic congestion and this eventually leads to handover failure. The most crucial problems that cause handover failure in UVANET primarily includes mobility, communications jamming and interference, coverage hole, and data traffic congesti...

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“…Through this work, the paradigm of a vehicular fog computing system is not only applied on eNode-B or roadside unit (RSU) [6]- [8], but it can also be applied on vehicle-based computational resources [9], or even computational resources from others [10], such as privately owned cafes, houses, offices, shopping mall, etc. As a result, vehicular fog computing service is not only limited to the urban area but also available for the rural area by means of other vehicles' computational resources or reputable privately owned facilities' computational resources.…”

Section: Introductionmentioning

confidence: 99%

BPT Scheme: Establishing Trusted Vehicular Fog Computing Service for Rural Area Based on Blockchain Approach

Dewanta

Mambo

2021

IEEE Trans. Veh. Technol.

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Passing through a rural area with a limited network infrastructure may disrupt fog computing support for vehicles. As a result, some applications on vehicles may turn off and bother the performance of the vehicular systems. In order to escape from this kind of situation, vehicular fog computing is discussed in recent times as an alternative of fog computing support while passing through a blank spot of network infrastructure. However, it is not feasible to establish a trusted vehicular fog computing service among vehicles without mutual trust. To deal with this situation, this paper proposes a method called Bidding-Price-based Transaction (BPT) for vehicular fog computing service in rural areas. This method is composed of bidding-price-based mutual trust establishment between client vehicle and server vehicle and also payoff assignment based on transaction evaluation. By applying this method, trusted fog computing service transactions between two vehicles can be achieved without the direct assistance of any trusted third party as a validating entity. The simulation results and feasibility analysis then validate the performance of the BPT scheme in rural areas. Based on feasibility analysis, we claim that the BPT scheme can be realized by adjusting vehicle speed and transmission range with respect to the size of offloaded data.

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Enabling vehicular mobility in city-wide IEEE 802.11 networks through predictive handovers

Cited by 12 publications

References 26 publications

Evaluation of Received Signal Power Level and Throughput Depending on Distance to Transmitter in Testbed for Automotive WLAN IEEE 802.11ac Communication Network

Evaluation of Received Signal Power Level and Throughput Depending on Distance to Transmitter in Testbed for Automotive WLAN IEEE 802.11ac Communication Network

An effective handover management based on SINR and software‐defined network over urban vehicular ad hoc networks

BPT Scheme: Establishing Trusted Vehicular Fog Computing Service for Rural Area Based on Blockchain Approach

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