Using Cellular Automata to Form Car Society in Vehicular Ad Hoc Networks

Cheng, Sheng-Tzong; Horng, Gwo-Jiun; Chou, Chih-Lun

doi:10.1109/tits.2011.2158211

Cited by 27 publications

(17 citation statements)

References 24 publications

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“…N MOBILE communications with time-variant fading, e.g., vehicular communications in intelligent transportation systems (ITSs) [1], [2], two important second-order statistics associated with envelope fading are the envelope level crossing rate (LCR) and average fade duration (AFD). The LCR describes how often the envelope crosses a certain threshold, whereas AFD indicates how long the envelope stays below a given threshold.…”

mentioning

confidence: 99%

Envelope Level Crossing Rate and Average Fade Duration of Nonisotropic Vehicle-to-Vehicle Ricean Fading Channels

Cheng

Wang

et al. 2014

IEEE Trans. Intell. Transport. Syst.

173

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mentioning

confidence: 99%

Envelope Level Crossing Rate and Average Fade Duration of Nonisotropic Vehicle-to-Vehicle Ricean Fading Channels

Cheng

Wang

et al. 2014

IEEE Trans. Intell. Transport. Syst.

173

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“…In Fig. 8, the T r values needed by D and D metrics to achieve the sameP c are sketched as a function of R, showing 8 It might be noticed that α, β, δ, γ are constants. Moreover the upper and lower constraints on T r , defined respectively in Eq.…”

Section: B Parameters Assessmentmentioning

confidence: 99%

“…To this purpose, vehicles are dynamically clustered according to different related metrics, while a minimum number of vehicles, are selected as gateways. Further, a clustering scheme has been proposed in [8] to group the interests of drivers and supporting the mobicast communication paradigm.…”

Section: Introductionmentioning

confidence: 99%

A low complexity clustering approach enabling context awareness in sparse VANETs

Chiti

Fantacci

Mastandrea

2012

2012 IEEE Global Communications Conference (GLOBECOM)

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This paper deals with a clustering approach for VANETs operating in sparse highway scenarios. The proposed protocol is able to keep high and stable the network connectivity level to allow data exchange among nodes and, thus, achieving context awareness. The criterion adopted in forming a cluster involves the periodic distributed evaluation of connectivity indicators combining the number of neighbors and their distances, without excessive signaling overhead. In this way, data propagation leverages on vehicles physical movements instead of setting up a communications backbone, which can not properly face a high mobility level. The performance has been analyzed in a practical scenario adopting IEEE 802.11p communications standard. In particular, the election period has been optimized for different coverage ranges, pointing out the suitability of the proposed metrics.

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“…The approach was tested in a real system from a mid-size city showing good performance. Cheng et al [14] proposed a cellular automata-based approach for clustering the interests of car drivers, increasing the lifetime of interest groups, and increasing the throughput in vehicle-to-vehicle environments. Simulation results revealed the strengths of the proposed cellular automata clustering algorithm in terms of increased group lifetime and throughput for vehicular networks.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Vehicle Path Planning System

Huang¹,

Hu²,

Wang³

et al. 2015

IJCCE

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Abstract-Nowadays, most of the road navigation systems planning optimal routes are conducted by the On Board Unit (OBU). If drivers want to obtain the real-time road status, a Traffic Message Channel (TMC) module is needed. However, this module can only provide the current road conditions, instead of planning appropriate routes for users. In this work, the concept of the cellular automata is used to collect the real-time road conditions and derives the appropriate paths for users. Notably, fuzzy logic is adopted for path analysis for each cell established in the cellular automata algorithm. Besides establishing the optimal routes, this research is expected to automatically meet the personal demands of all drivers, reach the load balancing in all road sections to avoid the problem of traffic jams, and allow the drivers enjoy better driving experiences. A series of simulations were conducted to compare the proposed approach with the well-known A* Search algorithm and the latest state-of-the-art path planning algorithm in the literature. The experimental results exhibited that the proposed approach is scalable in terms of the turnaround time to individual users. The practicality and feasibility of applying the proposed approach in real-time environment is thus justified.Index Terms-Search algorithm, cellular automata, fuzzy logic, optimal path planning.

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Using Cellular Automata to Form Car Society in Vehicular Ad Hoc Networks

Cited by 27 publications

References 24 publications

Envelope Level Crossing Rate and Average Fade Duration of Nonisotropic Vehicle-to-Vehicle Ricean Fading Channels

Envelope Level Crossing Rate and Average Fade Duration of Nonisotropic Vehicle-to-Vehicle Ricean Fading Channels

A low complexity clustering approach enabling context awareness in sparse VANETs

An Adaptive Vehicle Path Planning System

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