R
Ravi Sankar
Researcher at University of South Florida
Publications - 186
Citations - 3821
Ravi Sankar is an academic researcher from University of South Florida. The author has contributed to research in topics: Throughput & Wireless sensor network. The author has an hindex of 22, co-authored 182 publications receiving 3404 citations. Previous affiliations of Ravi Sankar include Pennsylvania State University & University of Florida.
Papers
More filters
Journal ArticleDOI
Trends in fetal monitoring through phonocardiography: Challenges and future directions
TL;DR: An overview of the existing standards of fetal monitoring is provided and a comprehensive survey on Fetal Phonocardiography is provided with focus on trends in data collection, signal processing techniques and synthesis models that have been developed to date.
Journal ArticleDOI
Two-Relay-Based Cooperative MAC Protocol for Wireless Ad hoc Networks
TL;DR: A new cooperative medium access control protocol, which is termed the 2rcMAC protocol, is proposed for a small-sized network and makes use of two cooperating nodes to achieve superior throughput and delay performances, compared with the existing cooperative MAC protocols.
Proceedings ArticleDOI
Impact of Realistic Mobility Models on Wireless Networks Performance
P. Prabhakaran,Ravi Sankar +1 more
TL;DR: The effects of realistic mobility characteristics like temporal and spatial dependencies of velocity and geographic restrictions on performance metrics such as energy-goodput, packet delivery ratio, and control overhead packets generated are studied in detail.
Journal ArticleDOI
An energy-efficient access control scheme for wireless sensor networks based on elliptic curve cryptography
Xuan Hung Le,Sungyoung Lee,Ismail Butun,Murad Khalid,Ravi Sankar,Miso Kim,Manhyung Han,Young-Koo Lee,Heejo Lee +8 more
TL;DR: Through analysis and simulation based evaluations, it is shown that the proposed scheme overcomes the security problems and has far better energy-efficiency compared to current scheme proposed by Wang et al.
Journal ArticleDOI
Computer-Aided Mass Detection Based on Ipsilateral Multiview Mammograms
TL;DR: A comprehensive and state-of-the-art approach is proposed for the CAD scheme of digital mammography and the results indicated that the proposed multiview CAD system is significantly superior to the single-view CAD systems based on statistically standard P-values.