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Andrea Gorrieri

dblp:133/4767 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Vehicular, aerial and satellite networks · 33% Wireless networking · 33% Routing and switching · 33%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › broadcast
broadcast protocol
0.212016
DiSIF: A Distance-Based Silencing Technique for Multi-Hop Broadcast Communications in Pedestrian Ad-Hoc Networks · IEEE Trans. Mob. Comput. 2016
Vehicular, aerial and satellite networks › message dissemination
multi-hop broadcast
0.212016
DiSIF: A Distance-Based Silencing Technique for Multi-Hop Broadcast Communications in Pedestrian Ad-Hoc Networks · IEEE Trans. Mob. Comput. 2016
Routing and switching › packet forwarding
probabilistic forwarding
0.212016
DiSIF: A Distance-Based Silencing Technique for Multi-Hop Broadcast Communications in Pedestrian Ad-Hoc Networks · IEEE Trans. Mob. Comput. 2016

Methods — techniques the papers use, named apart from their topics

probabilistic forwarding · 0.2hop count bounds · 0.2distance-based silencing · 0.2
YearPublicationVenuePosition
2016 Clustering and sensing with decentralized detection in vehicular ad hoc networks
Andrea Gorrieri, Marco Martalò, Stefano Busanelli, Gianluigi Ferrari 0001
Ad Hoc Networks1
2016 DiSIF: A Distance-Based Silencing Technique for Multi-Hop Broadcast Communications in Pedestrian Ad-Hoc Networks
abstract
In this paper, we focus on a particular type of opportunistic ad-hoc networks, namely Pedestrian Ad-hoc NETworks (PANETs). In PANETs, nodes are densely distributed and each node may transmit information to all other nodes in the network via multi-hop broadcasting. Even though flooding is the simplest technique to broadcast information with multi-hop communications, it can be very inefficient because of redundant transmissions which may induce collisions. This problem is known, in the literature, as the “broadcast storm problem.” In this work, we present a novel probabilistic forwarding technique, denoted as Distance-based Silencing IF (DiSIF), which is derived from the probabilistic broadcasting protocol Irresponsible Forwarding (IF) and one of its extensions, denotes Silencing IF (SIF). The performance of the DiSIF protocol is analyzed and compared with those of other existing protocols, investigating the impact of fundamental network parameters. Lower bounds (exact and approximate) on the average number of hops, expedient to evaluate the propagation efficiency of DiSIF, are also derived. Finally, under the assumption that each node (e.g., a smartphone) relies on Global Positioning System (GPS) to estimate its position, the robustness of DiSIF against a GPS positioning error is investigated.
Andrea Gorrieri, Gianluigi Ferrari 0001
IEEE Trans. Mob. Comput.1
2013 Simulative analysis of saturation condition in a Pedestrian Ad-hoc Network
abstract
In this paper, we consider a particular type of wireless ad-hoc networks, namely Pedestrian Ad-hoc NETworks (PANETs), where all nodes in the network are sources and destinations of information. In particular, we refer to an application where nodes report their presence by broadcasting an hello message to all other nodes in both IEEE 802.11 monodimensional and bidimensional scenarios. The system performance, in terms of throughput and delay, is analyzed using a recently proposed broadcasting protocol, namely Irresponsible Forwarding (IF) and its extension, denoted as Silencing IF (SIF). The proposed framework allows to determine a critical hello generation rate below which multi-source broadcasting is efficient.
Andrea Gorrieri, Gianluigi Ferrari 0001
IWCMC1