A New Comprehensive RSU Installation Strategy for Cost-Efficient VANET Deployment

Recently, studies on vehicular ad hoc networks (VANETs) are booming due to their huge potential. The road side unit (RSU) is a key component of the VANET infrastructure connecting mobile vehicles to the rest of the infrastructure. To maximize the availability of RSUs, RSUs should be densely deployed...

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Vydané v:	IEEE transactions on vehicular technology Ročník 66; číslo 5; s. 4200 - 4211
Hlavní autori:	Donghyun Kim, Velasco, Yesenia, Wei Wang, Uma, R. N., Hussain, Rasheed, Sejin Lee
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.05.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation algorithm Approximation algorithms Computer simulation graph theory Infrastructure Local government Mobile ad hoc networks Mobile communication Optimization Polynomials Public transportation road side unit (RSU) deployment Roads Run time (computers) Strategy Vehicle safety Vehicles Vehicular ad hoc networks vehicular ad hoc networks (VANETs)
ISSN:	0018-9545, 1939-9359
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Abstract	Recently, studies on vehicular ad hoc networks (VANETs) are booming due to their huge potential. The road side unit (RSU) is a key component of the VANET infrastructure connecting mobile vehicles to the rest of the infrastructure. To maximize the availability of RSUs, RSUs should be densely deployed. Otherwise, blind spots may exist in which vehicles lose the connection to the infrastructure. Unfortunately, the massive deployment of RSUs to seamlessly cover the whole area of interest, which could be a vast metropolitan, can be very expensive. As the effectiveness and the benefits of the VANET have yet to be fully proven, such large scale deployment can hardly be a currently viable option. Motivated by this observation, this paper investigates a new strategy of how to best deploy RSUs so that their spatiotemporal coverage is maximized under a limited budget. In detail, for the first time in the literature, we consider an innovative RSU deployment framework, which is a well-balanced combination of three different approaches: deploying RSUs on static locations, public mobile transportation, and fully controllable vehicles owned by the local government. We first introduce a new strategy to abstract a map of city area into a grid graph. Then, we formulate the problem as a new optimization problem and show its NP-hardness. To solve this problem, we transform this problem into another optimization problem. Then, we propose a new polynomial running time approximation algorithm for the problem and show that the performance ratio (the ratio between the quality of an output of the proposed algorithm and the quality of the best possible solution) is at least half of the best possible ratio. We also conduct simulations under various settings to study the effectiveness of the proposed approach.
AbstractList	Recently, studies on vehicular ad hoc networks (VANETs) are booming due to their huge potential. The road side unit (RSU) is a key component of the VANET infrastructure connecting mobile vehicles to the rest of the infrastructure. To maximize the availability of RSUs, RSUs should be densely deployed. Otherwise, blind spots may exist in which vehicles lose the connection to the infrastructure. Unfortunately, the massive deployment of RSUs to seamlessly cover the whole area of interest, which could be a vast metropolitan, can be very expensive. As the effectiveness and the benefits of the VANET have yet to be fully proven, such large scale deployment can hardly be a currently viable option. Motivated by this observation, this paper investigates a new strategy of how to best deploy RSUs so that their spatiotemporal coverage is maximized under a limited budget. In detail, for the first time in the literature, we consider an innovative RSU deployment framework, which is a well-balanced combination of three different approaches: deploying RSUs on static locations, public mobile transportation, and fully controllable vehicles owned by the local government. We first introduce a new strategy to abstract a map of city area into a grid graph. Then, we formulate the problem as a new optimization problem and show its NP-hardness. To solve this problem, we transform this problem into another optimization problem. Then, we propose a new polynomial running time approximation algorithm for the problem and show that the performance ratio (the ratio between the quality of an output of the proposed algorithm and the quality of the best possible solution) is at least half of the best possible ratio. We also conduct simulations under various settings to study the effectiveness of the proposed approach.
Author	Uma, R. N. Hussain, Rasheed Donghyun Kim Wei Wang Sejin Lee Velasco, Yesenia
Author_xml	– sequence: 1 surname: Donghyun Kim fullname: Donghyun Kim email: donghyun.kim@kennesaw.edu organization: Dept. of Comput. Sci., Kennesaw State Univ., Marietta, GA, USA – sequence: 2 givenname: Yesenia surname: Velasco fullname: Velasco, Yesenia email: yvelasco@eagles.nccu.edu organization: Dept. of Math. & Phys., North Carolina Central Univ., Durham, NC, USA – sequence: 3 surname: Wei Wang fullname: Wei Wang email: wang_weiw@163.com organization: Sch. of Math. & Stat., Xi'an Jiaotong Univ., Xi'an, China – sequence: 4 givenname: R. N. surname: Uma fullname: Uma, R. N. email: ruma@nccu.edu organization: Dept. of Math. & Phys., North Carolina Central Univ., Durham, NC, USA – sequence: 5 givenname: Rasheed surname: Hussain fullname: Hussain, Rasheed email: rasheed1984@gmail.com organization: Dept. of Comput. Sci., Innopolis Univ., Innopolis, Russia – sequence: 6 surname: Sejin Lee fullname: Sejin Lee email: sejiny3@kongju.ac.kr organization: Div. of Mech. & Automotive Eng., Kongju Nat. Univ., Cheonan, South Korea
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SubjectTerms	Algorithms Approximation algorithm Approximation algorithms Computer simulation graph theory Infrastructure Local government Mobile ad hoc networks Mobile communication Optimization Polynomials Public transportation road side unit (RSU) deployment Roads Run time (computers) Strategy Vehicle safety Vehicles Vehicular ad hoc networks vehicular ad hoc networks (VANETs)
Title	A New Comprehensive RSU Installation Strategy for Cost-Efficient VANET Deployment
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