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Gaia Maselli
Researcher at Sapienza University of Rome
Publications - 48
Citations - 1073
Gaia Maselli is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Wireless ad hoc network & Optimized Link State Routing Protocol. The author has an hindex of 11, co-authored 43 publications receiving 996 citations. Previous affiliations of Gaia Maselli include National Research Council & University of Pisa.
Papers
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Book ChapterDOI
Towards Reliable Forwarding for Ad Hoc Networks
TL;DR: This paper presents a general framework, based on reliability indices taking into account not only selfish/malicious misbehavior, but also situations of congestion and jammed links, aimed at avoiding unreliable routes and enforcing cooperation, thus increasing network “performability” (performance and reliability).
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.
Proceedings ArticleDOI
Performance Analysis of Anti-Collision Protocols for RFID Systems
TL;DR: Simulation results show that end-to-end performance of the different classes of protocols in terms of metrics such as the time needed for tags identification differ significantly over what previously found by experiments which only focused on the number of reading cycles for tag identification.
Proceedings ArticleDOI
Dynamic tag estimation for optimizing tree slotted aloha in RFID networks
TL;DR: A Dynamic Tree Slotted Aloha (Dy TSA) protocol is proposed that exploits the knowledge acquired during ongoing readings to refine the estimation of the number of colliding tags and is effective for tag identification and results in significantly improved performance over TSA.
Journal ArticleDOI
Throughput-Optimal Cross-Layer Design for Cognitive Radio Ad Hoc Networks
TL;DR: The NUM optimization problem can be solved via duality theory in a distributed way, and the resulting algorithms can be regarded as the CRAHN protocols, a distributed, integrated medium access control, scheduling, routing and congestion/rate control protocol stack for cognitive radio ad hoc networks.