A Novel Energy-Saving One-Sided Synchronous Two-Way Ranging Algorithm for Vehicular Positioning

Liu, Jianqi; Wang, Qinruo; Li, Di; Qiao, Yupeng; Cai, Hu

doi:10.1007/s11036-015-0604-5

Cited by 26 publications

(13 citation statements)

References 26 publications

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“…Packet collision detection is one of the common methods specified to represent traffic conditions [4,15]. Since interference is observed to be root cause of transmission degradation which includes packet collision [15][16][17], detecting interference allows the detection of packet collision [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Joint optimization and threshold structure dynamic programming with enhanced priority scheme for adaptive VANET MAC

et al. 2015

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Nodes in vehicular ad-hoc network (VANET) are highly mobile, traversing in unpredictable and varying environment. Therefore, contention window size and transmission power should adapt according to the high mobility transmission environment. In this paper, we propose an adaptive VANET medium access control (MAC) layer with joint optimization for VANET (MACVS) which aims at minimizing average delay and maximizing packet success rate. An adaptive joint optimization with proposed threshold structure dynamic programming, with closed loop feedback control system, is designed to optimize contention window size and transmission power. Adaptive optimization is done based on road traffic conditions and transmission reliable distance range (depicted by interference and noise), by monitoring the continuous change and threshold of received signal strength to interference and noise ratio. Mathematical expressions have been developed for the MACVS optimization framework, and the produced analytical results show good agreement with the simulation results. Simulations with different arrival rates and urban map of city center show that the proposed MACVS with low complexity joint optimization effectively reduces endto-end delay while achieving high packet success rate under various network traffic condition.

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Section: Introductionmentioning

confidence: 99%

Joint optimization and threshold structure dynamic programming with enhanced priority scheme for adaptive VANET MAC

et al. 2015

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“…The aforementioned taxonomy of applications is too ossified for the IoV, which is expected to encompass novel applications specifically emerging with vehicles becoming multi-faceted elements (equipped with cameras, sensors [15], radars, storage, processing [4] and positioning capabilities [16,17]) of smart and connected cities able to interact also with nearby/remote people and objects [18,19].…”

Section: Towards Iov Applicationsmentioning

confidence: 99%

Priority-Based Content Delivery in the Internet of Vehicles through Named Data Networking

Amadeo

Campolo

Molinaro

2016

JSAN

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Named Data Networking (NDN) has been recently proposed as a prominent solution for content delivery in the Internet of Vehicles (IoV), where cars equipped with a variety of wireless communication technologies exchange information aimed to support safety, traffic efficiency, monitoring and infotainment applications. The main NDN tenets, i.e., name-based communication and in-network caching, perfectly fit the demands of time-and spatially-relevant content requested by vehicles regardless of their provenance. However, existing vehicular NDN solutions have not been targeted to wisely ensure prioritized traffic treatment based on the specific needs of heterogeneous IoV content types. In this work, we propose a holistic NDN solution that, according to the demands of data traffic codified in NDN content names, dynamically shapes the NDN forwarding decisions to ensure the appropriate prioritization. Specifically, our proposal first selects the outgoing interface(s) (i.e., 802.11, LTE) for NDN packets and then properly tunes the timing of the actual transmissions. Simulation results show that the proposed enhancements succeed in achieving differentiated traffic treatment, while keeping traffic load under control.

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“…The promising VANET technologies have enabled a large number of road safety [3][4][5], traffic efficiency [6,7] and infotainment [8][9][10][11] applications via direct or multihop vehicle-to-vehicle (V2V), vehicle-to-roadside (V2R), vehicle-to-pedestrian (V2P), and vehicle-to-internet (V2I) communications.…”

Section: Introductionmentioning

confidence: 99%

Minimum node degree of k-connected vehicular ad hoc networks in highway scenarios

Xiong

et al. 2016

J Wireless Com Network

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A vehicular ad hoc network (VANET) is a specific type of mobile ad hoc networks (MANETs); it can provide direct or multi-hop vehicle-to-vehicle (V2V), vehicle-to-roadside (V2R), vehicle-to-pedestrian (V2P), and vehicle-to-internet (V2I) communications based on the pre-existing road layouts. The emerging and promising VANET technologies have drawn tremendous attention from the government, academics, and industry over the past few years and have been increasingly available for a large number of cutting edge applications that can be classified into road safety, traffic efficiency, and infotainment categories. Due to the unique characteristics of VANETs, such as high mobility with an organized but constrained pattern, and diverse radio propagation conditions, the conventional researches dedicated for general MANETs cannot be directly applied to VANETs. This paper presents an analytical framework to investigate the minimum node degree of k-connected VANETs, with a homogeneous range assignment in highway scenarios. We simulate the mobility patterns with realistic vehicular traces, model the network topology as a two-path fading geometric random graph, and conduct extensive experiments on the derived analytical results. Through a combination of mathematical modeling and simulations, we derive a probabilistic bound for the minimum node degree of a homogeneous vehicular ad hoc network in highway scenarios. The analytical framework is useful in the study of connectivity and estimation of performance in one-dimensional vehicular ad hoc networks.

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A Novel Energy-Saving One-Sided Synchronous Two-Way Ranging Algorithm for Vehicular Positioning

Cited by 26 publications

References 26 publications

Joint optimization and threshold structure dynamic programming with enhanced priority scheme for adaptive VANET MAC

Joint optimization and threshold structure dynamic programming with enhanced priority scheme for adaptive VANET MAC

Priority-Based Content Delivery in the Internet of Vehicles through Named Data Networking

Minimum node degree of k-connected vehicular ad hoc networks in highway scenarios

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