A logically centralized slotted ALOHA‐based scheme for broadcast services in vehicular ad hoc networks

Peng, Shenglong; Zhou, Liang; Du, Junyi; He, Xuan

doi:10.1002/ett.3909

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…The network seven layer model's medium access control (MAC) sublayer is where it operates. Through a multi-point transmission channel, this protocol enables the transfer of many data streams emanating from different nodes (vehicles) [40]. However, the presented work has the advantage over the work in [40], in that it provides dynamic relationship, which enables parameters balancing and optimization, through control of the shape function.…”

Section: Related Workmentioning

confidence: 99%

Effect of Waiting Time and Number of Slots on Vehicular Networking Employing Slotted ALOHA Protocol

2024

IJIES

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This work investigates through simulation effect of waiting time and number of slots on the effectiveness of using Slotted ALOHA in vehicular connectivity as a random access technique. The objective is to reach optimum level of throughput under the vehicular dynamic environment. The presented work proposes to concentrate on waiting time as a controlling parameter that can be used in an adaptive manner to enable throughput optimization in response to changing vehicular density. The work proved through MATLAB simulation the importance of waiting time parameter in controlling number of delivered frames and throughput. The results show that based on the exponential relationship between throughput and data traffic, there is a logarithmic relationship between data traffic and waiting time, which complements another logarithmic relationship between throughput and waiting time. The simulation also shows that there is an inverse relationship between throughput and data traffic as a function of set waiting time. The simulation shows that there is an exponential relationship between waiting time and maximum number of delivered frames. The work shows that a linear region of operating Slotted ALOHA can be specified, such that an optimum and dynamically adjusted waiting time is set with overall effect on number of slots and throughput. The dynamic shape function of the curve correlating waiting time to available number of slots is mathematically modelled and differentially controlled, thus an optimizing and controlling algorithm is produced, which improves significantly the conventional ALOHA performance and has an advantage over other used ALOHA derivatives, in that it concentrates on available slots and waiting time, which greatly contributes towards reduction in collisions and improving of throughput.

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Section: Related Workmentioning

confidence: 99%

Effect of Waiting Time and Number of Slots on Vehicular Networking Employing Slotted ALOHA Protocol

2024

IJIES

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“…It functions over the medium access control (MAC) sublayer in the Network seven layer model. This protocol allows the transmission of several data streams coming from various nodes (vehicles) across a multi-point transmission channel [31][32].…”

Section: Related Workmentioning

confidence: 99%

Adaptive Vehicular Communication using ALOHA CSMA with Modified Logistic Function (ALOHAMLF)

2023

IJIES

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The objective of this work is to mathematically model vehicular connectivity using ALOHA base function with modified logistic function as an adaptive control function. The focus of this work is to utilize the ALOHA protocol as a carrier sensing multiple access technique and add to it an intelligent part, which is the modified logistic function (MLF) to enable adaptive communication channel. The work correlates three time based parameters related to vehicle, communication, and human driver, which are associated with connected vehicles (driver response time, machine processing time, and channel communication time). The mathematical model showed that throughput for autonomous and connected vehicles is much higher than that for connected vehicles due to the elimination of human time factor, together with the evident low response time from sensors, electronics, and communication. In addition, a more stable connectivity is established if human element is not part of the model, as this eliminates both uncertainty and lengthy human response time. The ALOHA function role is to enable continuous tries by each node (vehicle) to establish communication with probability related to availability of communication channel and a back off functionality in case of collision. The proposed model provides dynamic and adaptive technique to adjust time slots using the continuous change in the vehicular connectivity environment, which affects the presented time parameters, thus changing frames delivery pattern and time slots utilization. The presented approach, supports better and more efficient use of communication channel, particularly in the case of autonomous and connected vehicles. It also, highlights through comparison the inhibitory effect driver actions can have on safe driving, through time delay, and low communication channel utilization. In addition, the work also focusses on the effect of processing time for sensors and electronics, which also have negative effect on channel usage and effectiveness, if there is a functional problem.

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“…A variant of MANET, named vehicular ad‐hoc networks, has come up 35,36 which too has got many applications. A token system based efficient route optimization technique has been proposed in the context of VANET in Reference 35 where a broadcast scheme in a similar contextual domain appears in Reference 36. In Reference 37, Ghosh and Banerjee proposed an anycast model in MANET.…”

Section: Related Workmentioning

confidence: 99%

Autoregressive moving average based anycast with support vector machine clustering in mobile ad‐hoc networks

Ghosh¹,

Banerjee

Sufian

et al. 2021

Trans Emerging Tel Tech

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Nodes in mobile ad-hoc networks (MANETs) are battery-powered, therefore, need energy-efficient techniques to cut down the cost of energy consumption. Energy consumption is directly related to route discovery, which could be reduced through anycasting. Anycast is an operation in MANETs, where the source sends messages to one particular destination node of anycast region.In general, the message transmitted is divided into certain packets, and those are transmitted continuously one after the other through selected routes. If the link from anycast source to destination breaks in between or an anycast destination goes out of the anycast region, in that case, a new anycast destination will have to be selected on a new route to the destination. This will incur huge message costs and energy. In this work, we select desirable anycast destinations based on their eligibility by using autoregressive moving average and support vector machine. Eligibility is modeled as a function of residual energy, location, the relative velocity concerning neighbors, and the number of packets successfully forwarded earlier by those neighbors' locations. Reducing the number of anycast receivers reduces the message cost of protocols significantly. We have compared our protocol's performance with the same of anycast-AODV, anycast-DSR, anycast-FAIR, and MQAR (mobility and QoS-aware anycast routing protocol) results show significant improvement. Collective improvement amounts to 89% more energy preservation and 39% delay on average.

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A logically centralized slotted ALOHA‐based scheme for broadcast services in vehicular ad hoc networks

Cited by 4 publications

References 16 publications

Effect of Waiting Time and Number of Slots on Vehicular Networking Employing Slotted ALOHA Protocol

Effect of Waiting Time and Number of Slots on Vehicular Networking Employing Slotted ALOHA Protocol

Adaptive Vehicular Communication using ALOHA CSMA with Modified Logistic Function (ALOHAMLF)

Autoregressive moving average based anycast with support vector machine clustering in mobile ad‐hoc networks

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