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Personalized Travel Itineraries with Multi-access Edge Computing Touristic Services

Abstract : The 5G networks enable new touristic services with challenging communication requirements, such as augmented reality (AR) applications, and allow the visitors to enjoy a touristic experience that involves both the physical and virtual space. Here, we propose a novel multiuser travel itinerary planning framework based on an optimal problem formulation that considers both individual trip itinerary (e.g., tourist's preferences, time or cost) and touristic service constraints (e.g., nearby edge cloud resources and application requirements). The main idea is to maximize the itinerary score of individual visitors, while also optimizing the resource allocation at the edge. We consider two services, video streaming and AR, and evaluate our framework using data from Flickr. Results demonstrate gains up to 100% in the resource allocation and user experience in comparison with a state-of-the-art solution adapted to this scenario.
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Submitted on : Friday, September 13, 2019 - 11:24:57 AM
Last modification on : Thursday, January 20, 2022 - 5:27:40 PM
Long-term archiving on: : Saturday, February 8, 2020 - 1:41:49 PM


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  • HAL Id : hal-02285929, version 1



Felipe Fonseca, Lefteris Mamatas, Aline Carneiro Viana, Sand Correa, Kleber Cardoso. Personalized Travel Itineraries with Multi-access Edge Computing Touristic Services. IEEE Globecom 2019 - IEEE Global Communications Conference, Dec 2019, Big Island, Hawaii, United States. ⟨hal-02285929⟩



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