Preprint Article Version 1 This version is not peer-reviewed

Broadening Understanding on Managing the Communication Infrastructure in Vehicular Networks: Customizing the Coverage Using the Delta Network

Version 1 : Received: 10 November 2018 / Approved: 13 November 2018 / Online: 13 November 2018 (04:55:58 CET)

A peer-reviewed article of this Preprint also exists.

Silva, C.M.; Silva, L.D.; Santos, L.A.L.; Sarubbi, J.F.M.; Pitsillides, A. Broadening Understanding on Managing the Communication Infrastructure in Vehicular Networks: Customizing the Coverage Using the Delta Network. Future Internet 2019, 11, 1. Silva, C.M.; Silva, L.D.; Santos, L.A.L.; Sarubbi, J.F.M.; Pitsillides, A. Broadening Understanding on Managing the Communication Infrastructure in Vehicular Networks: Customizing the Coverage Using the Delta Network. Future Internet 2019, 11, 1.

Journal reference: Future Internet 2018, 11, 1
DOI: 10.3390/fi11010001

Abstract

Over the past few decades, the growth of the urban population has been remarkable. Nowadays, 50% of the population lives in urban areas, and forecasts point that by 2050 this number will reach 70%. Today, 64% of all travel made is within urban environments and the total amount of urban kilometers traveled is expected to triple by 2050. Thus, seeking novel solutions for urban mobility becomes paramount for 21st century society. In this work, we discuss the performance of vehicular networks. We consider the metric Delta Network. The Delta Network characterizes the connectivity of the vehicular network through the percentage of travel time in which vehicles are connected to roadside units. This article reviews the concept of Delta Network and extends its study through the presentation of a general heuristic based on the definition of scores to identify the areas of the road network that should receive coverage. After defining the general heuristic, we show how small changes in the score computation can generate very distinct (and interesting) patterns of coverage, each one suited to a given scenario. In order to exemplify such behavior, we propose three deployment strategies based on simply changing the computation of scores. The results show that the strategies derived from the general heuristic are very interesting, all of them deploying roadside units in a circle pattern around the traffic epicenter.

Subject Areas

vehicular networks; performance management; design of vehicular networks; mobile networks; vehicle-to-infrastructure; roadside units; infrastructure for vehicular networks

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