scispace - formally typeset
S

Subbarayan Venkatesan

Researcher at University of Texas at Dallas

Publications -  103
Citations -  3539

Subbarayan Venkatesan is an academic researcher from University of Texas at Dallas. The author has contributed to research in topics: Wireless network & Distributed algorithm. The author has an hindex of 30, co-authored 100 publications receiving 3483 citations. Previous affiliations of Subbarayan Venkatesan include University of Pittsburgh & Rockwell Collins.

Papers
More filters
Proceedings ArticleDOI

Energy efficient schemes for wireless sensor networks with multiple mobile base stations

TL;DR: Based on the simulation results, it is shown that employing multiple, mobile base stations in accordance with the solution given by the schemes would significantly increase the lifetime of the sensor network.
Journal ArticleDOI

A feedback-based scheme for improving TCP performance in ad hoc wireless networks

TL;DR: Simulation experiments show that in the event of route failures, as the route reestablishment time increases, the use of feedback provides significant improvements in performance.
Proceedings ArticleDOI

STCP: a generic transport layer protocol for wireless sensor networks

TL;DR: STCP is a generic, scalable and reliable transport layer protocol where a majority of the functionalities are implemented at the base station and offers controlled variable reliability, congestion detection and avoidance, and supports multiple applications in the same network.
Proceedings ArticleDOI

A feedback based scheme for improving TCP performance in ad-hoc wireless networks

TL;DR: It is observed that in the event of route failures, as the route re-establishment time increases, the use of feedback provides significant gains in throughput as well as savings in unnecessary packet transmissions.
Proceedings ArticleDOI

Control channel based MAC-layer configuration, routing and situation awareness for cognitive radio networks

TL;DR: A distributed algorithm for gathering global network topology information for MAC-layer configuration and efficient routing of packets for a cognitive radio (CR) network is proposed.