G
Giovanni Turi
Researcher at National Research Council
Publications - 10
Citations - 704
Giovanni Turi is an academic researcher from National Research Council. The author has contributed to research in topics: Vehicular ad hoc network & Wireless ad hoc network. The author has an hindex of 8, co-authored 10 publications receiving 704 citations.
Papers
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Journal ArticleDOI
Cross-layering in mobile ad hoc network design
TL;DR: The mobile ad hoc network researchers face the challenge of achieving full functionality with good performance while linking the new technology to the rest of the Internet, and the MobileMan cross-layer architecture offers an alternative.
Proceedings ArticleDOI
A cross-layer optimization of gnutella for mobile ad hoc networks
TL;DR: This paper investigates the performance of Gnutella, one of the most widely used peer-to-peer systems, when put through typical ad hoc conditions and proposes a cross-layer optimization of Gnutsella, which enhances its performance up to the expectations and makes it more suitable to the degree of self-organization and self-healing required in ad hoc environments.
Proceedings ArticleDOI
Towards scalable P2P computing for mobile ad hoc networks
TL;DR: It is shown how a cross-layer protocol stack design for ad hoc nodes, simplifies the tasks of a subject-based routing substrate in ad hoc environments, and gives details for a platform like Pastry, emphasizing the cross- layer interaction with a pro-active routing protocol at the network layer.
Book ChapterDOI
MobileMAN: Mobile Metropolitan Ad Hoc Networks
TL;DR: Development, validation, implementation and testing of the architecture, and related protocols, for configuring and managing a MobileMAN, and validation of the self-organizing paradigm from the social and economic standpoint.
Book ChapterDOI
A cross-layer approach for publish/subscribe in mobile ad hoc networks
TL;DR: Q, a publish/subscribe service conceived to operate over mobile ad hoc networks, supports content-based filtering of events through mobile code and dynamically adapts to topology changes by means of cross-layer interaction.