GeoSPRINGS: Towards a Location-Aware Mobile Agent Platform

Ilarri, Sergio; Roig, Pedro Juan; Trillo, Raquel

doi:10.1007/978-3-319-90053-7_6

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…That is, while it is running on a certain computer or device it can pause its execution, transfer itself to another computer or device, and resume its execution in the new destination, as long as the transfer process ends successfully. For this to be possible, it is necessary that all the computers/devices involved (i.e., the origin computer/device and the target computer/device where the agent moves) execute a light middleware called the mobile agent platform [21] (e.g., Aglets, Voyager or SPRINGS/GeoSPRINGS [23,24], to cite some examples), which manages the movements of the agents and offers them a number of additional services [22] related to security, efficiency, communication, etc.…”

Section: Mobile Agentsmentioning

confidence: 99%

Spatial crowdsourcing with mobile agents in vehicular networks

Urra

Ilarri

2019

Vehicular Communications

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In the last years, the automotive industry has shown interest in the addition of computing and communication devices to cars, thanks to technological advances in these fields, in order to meet the increasing demand of "connected" applications and services. Although vehicular ad hoc networks (VANETs) have not been fully developed yet, they could be used in a near future as a means to provide a number of interesting applications and services that need the exchange of data among vehicles and other data sources. In this paper, we propose a spatial crowdsourcing schema for the opportunistic collection of information within an interest area in a city or region (e.g., measures about the environment, such as the concentration of certain gases in the atmosphere, or information such as the availability of parking spaces in an area), using vehicular ad hoc communications. We present a method that exploits mobile agent technology to accomplish the distributed collection and querying of data among vehicles in such a scenario. Our proposal is supported by an extensive set of realistic simulations that prove the feasibility of the approach.

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