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Francesco Chiti

Researcher at University of Florence

Publications -  139
Citations -  1520

Francesco Chiti is an academic researcher from University of Florence. The author has contributed to research in topics: Wireless sensor network & Wireless network. The author has an hindex of 20, co-authored 133 publications receiving 1307 citations. Previous affiliations of Francesco Chiti include University of Florida.

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Using wireless sensor networks to support intelligent transportation systems

TL;DR: A system architecture for enabling mobile nodes to query a largely deployed wireless sensor network in an intelligent transportation system scenario and protocols and algorithms specifically tailored to such a scenario are presented, in particular at the MAC and network layers.
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A Matching Theory Framework for Tasks Offloading in Fog Computing for IoT Systems

TL;DR: This paper proposes an efficient strategy to offload computationally intensive tasks from end-user devices to FNs based on the deferred acceptance algorithm to achieve the efficient allocation in a distributed mode and ensuring stability over the matching outcome.
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A broadband wireless communications system for emergency management

TL;DR: The main features of a wireless network that aims to interconnect several heterogeneous systems and provide multimedia access to groups of people to better monitor a specific area to have a fast response in case of a disaster, and to efficiently coordinate all of the forces during the disaster management phase are discussed.
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Resource Allocation Strategies for Network-Coded Video Broadcasting Services Over LTE-Advanced

TL;DR: The simulation results show that the proposed strategy can exploit user heterogeneity to optimize the allocated radio resources while achieving desired service levels for different user groups.
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An integrated communications framework for context aware continuous monitoring with body sensor networks

TL;DR: The proposed system is based on an ad hoc interaction of mobile body sensor networks with independent wireless sensor networks already deployed within the environments to allow a continuous and context aware health monitoring for patients along their daily life scenarios with an unprecedented precision and flexibility of sensing.