S
Sonia Fahmy
Researcher at Purdue University
Publications - 222
Citations - 11620
Sonia Fahmy is an academic researcher from Purdue University. The author has contributed to research in topics: Asynchronous Transfer Mode & Wireless sensor network. The author has an hindex of 39, co-authored 217 publications receiving 11177 citations. Previous affiliations of Sonia Fahmy include Ohio State University & Hewlett-Packard.
Papers
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Journal ArticleDOI
HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
O. Younis,Sonia Fahmy +1 more
TL;DR: It is proved that, with appropriate bounds on node density and intracluster and intercluster transmission ranges, HEED can asymptotically almost surely guarantee connectivity of clustered networks.
Proceedings ArticleDOI
Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach
O. Younis,Sonia Fahmy +1 more
TL;DR: A protocol is presented, HEED (hybrid energy-efficient distributed clustering), that periodically selects cluster heads according to a hybrid of their residual energy and a secondary parameter, such as node proximity to its neighbors or node degree, which outperforms weight-based clustering protocols in terms of several cluster characteristics.
Posted Content
The ERICA Switch Algorithm for ABR Traffic Management in ATM Networks
TL;DR: In this paper, the authors proposed an explicit rate indication scheme for congestion avoidance in ATM networks, where the network switches monitor their load on each link, determining a load factor, the available capacity, and the number of currently active virtual channels.
Journal ArticleDOI
The ERICA switch algorithm for ABR traffic management in ATM networks
TL;DR: In this article, an explicit rate indication for congestion avoidance (ERICA) scheme for rate-based feedback from asynchronous transfer mode (ATM) switches is described. But the scheme is designed to achieve high link utilization with low delays and fast transient response and is also fair and robust to measurement errors caused by the variations in ABR demand and capacity.
Proceedings ArticleDOI
Topology-aware overlay networks for group communication
Minseok Kwon,Sonia Fahmy +1 more
TL;DR: An application level multicast approach, Topology Aware Grouping (TAG), which exploits underlying network topology information to build efficient overlay networks among multicast group members, with reasonable algorithm time and space complexities is proposed.