research-article

An approach driven by mobile agents for data management in vehicular networks

Authors:

Raquel Trillo-LadoAuthors Info & Claims

Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal, Volume 381, Issue C

Pages 55 - 77

https://doi.org/10.1016/j.ins.2016.11.007

Published: 01 March 2017 Publication History

Abstract

In 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.

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Cited By

Muñoz A(2022)Secure Mobile Agents on Embedded Boards: a TPM based solutionProceedings of the 17th International Conference on Availability, Reliability and Security10.1145/3538969.3544419(1-7)Online publication date: 23-Aug-2022
https://dl.acm.org/doi/10.1145/3538969.3544419
García Aguilar IMuñoz Gallego A(2021)A Threat Model Analysis of a Mobile Agent-based system on Raspberry PiProceedings of the 16th International Conference on Availability, Reliability and Security10.1145/3465481.3470064(1-10)Online publication date: 17-Aug-2021
https://dl.acm.org/doi/10.1145/3465481.3470064
Ilarri SRoig PTrillo R(2018)GeoSPRINGS: Towards a Location-Aware Mobile Agent PlatformWeb and Wireless Geographical Information Systems10.1007/978-3-319-90053-7_6(51-60)Online publication date: 21-May-2018
https://dl.acm.org/doi/10.1007/978-3-319-90053-7_6

An approach driven by mobile agents for data management in vehicular networks
1. Networks
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cover image Information Sciences: an International Journal

Information Sciences: an International Journal Volume 381, Issue C

March 2017

371 pages

ISSN:0020-0255

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Copyright © Elsevier Inc.

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Elsevier Science Inc.

United States

Publication History

Published: 01 March 2017

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Cited By

Muñoz A(2022)Secure Mobile Agents on Embedded Boards: a TPM based solutionProceedings of the 17th International Conference on Availability, Reliability and Security10.1145/3538969.3544419(1-7)Online publication date: 23-Aug-2022
https://dl.acm.org/doi/10.1145/3538969.3544419
García Aguilar IMuñoz Gallego A(2021)A Threat Model Analysis of a Mobile Agent-based system on Raspberry PiProceedings of the 16th International Conference on Availability, Reliability and Security10.1145/3465481.3470064(1-10)Online publication date: 17-Aug-2021
https://dl.acm.org/doi/10.1145/3465481.3470064
Ilarri SRoig PTrillo R(2018)GeoSPRINGS: Towards a Location-Aware Mobile Agent PlatformWeb and Wireless Geographical Information Systems10.1007/978-3-319-90053-7_6(51-60)Online publication date: 21-May-2018
https://dl.acm.org/doi/10.1007/978-3-319-90053-7_6

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