000061444 001__ 61444
000061444 005__ 20190709135426.0
000061444 0247_ $$2doi$$a10.1016/j.ins.2016.11.007
000061444 0248_ $$2sideral$$a97602
000061444 037__ $$aART-2017-97602
000061444 041__ $$aeng
000061444 100__ $$0(orcid)0000-0001-5905-3279$$aUrra, Oscar
000061444 245__ $$aAn approach driven by mobile agents for data management in vehicular networks
000061444 260__ $$c2017
000061444 5060_ $$aAccess copy available to the general public$$fUnrestricted
000061444 5203_ $$aIn the last years, and thanks to improvements on computing and communications technologies, wireless networks formed by vehicles (called vehicular networks) have emerged as a key topic of interest. In these networks, the vehicles can exchange data by using short-range radio signals in order to get useful information related to traffic conditions, road safety, and other aspects. The availability of different types of sensors can be exploited by the vehicles to measure many parameters from their surroundings. These data can then be shared with other drivers who, on the other side, could also explicitly submit queries to retrieve information available in the network. This can be a challenging task, since the data is scattered among the vehicles belonging to the network and the communication links among them have usually a short life due to their constant movement. In this paper, we use mobile agent technology to help to accomplish these tasks, since mobile agents have a number of features that are very well suited for mobile environments, such as autonomy, mobility, and intelligence. Specifically, we analyze the benefits that mobile agents can bring to vehicular networks and the potential difficulties for their adoption. Moreover, we describe a query processing approach based on the use of mobile agents. We focus on range queries that retrieve interesting information from the vehicles located within a geographic area, and perform an extensive experimental evaluation that shows the feasibility and the interest of the proposal.
000061444 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R
000061444 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000061444 590__ $$a4.305$$b2017
000061444 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b12 / 148 = 0.081$$c2017$$dQ1$$eT1
000061444 592__ $$a1.635$$b2017
000061444 593__ $$aArtificial Intelligence$$c2017$$dQ1
000061444 593__ $$aComputer Science Applications$$c2017$$dQ1
000061444 593__ $$aTheoretical Computer Science$$c2017$$dQ1
000061444 593__ $$aInformation Systems and Management$$c2017$$dQ1
000061444 593__ $$aSoftware$$c2017$$dQ1
000061444 593__ $$aControl and Systems Engineering$$c2017$$dQ1
000061444 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/submittedVersion
000061444 700__ $$0(orcid)0000-0002-7073-219X$$aIlarri, Sergio$$uUniversidad de Zaragoza
000061444 700__ $$0(orcid)0000-0001-6008-1138$$aTrillo-Lado, Raquel$$uUniversidad de Zaragoza
000061444 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000061444 773__ $$g381 (2017), 55-77$$pInf. sci.$$tInformation Sciences$$x0020-0255
000061444 8564_ $$s1752933$$uhttps://zaguan.unizar.es/record/61444/files/texto_completo.pdf$$yPreprint
000061444 8564_ $$s69310$$uhttps://zaguan.unizar.es/record/61444/files/texto_completo.jpg?subformat=icon$$xicon$$yPreprint
000061444 909CO $$ooai:zaguan.unizar.es:61444$$particulos$$pdriver
000061444 951__ $$a2019-07-09-11:29:38
000061444 980__ $$aARTICLE