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Krishna M. Sivalingam

Researcher at Indian Institute of Technology Madras

Publications -  258
Citations -  7840

Krishna M. Sivalingam is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Network packet & Wireless network. The author has an hindex of 38, co-authored 249 publications receiving 7634 citations. Previous affiliations of Krishna M. Sivalingam include University of North Carolina at Greensboro & North Carolina Agricultural and Technical State University.

Papers
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Journal ArticleDOI

Data gathering algorithms in sensor networks using energy metrics

TL;DR: This paper presents an improved scheme, called PEGASIS (power-efficient gathering in sensor information systems), which is a near-optimal chain-based protocol that minimizes energy, and presents two new schemes that attempt to balance the energy and delay cost for data gathering from sensor networks.
Journal ArticleDOI

A Survey of Energy Efficient Network Protocols for Wireless Networks

TL;DR: A comprehensive summary of recent work addressing energy efficient and low-power design within all layers of the wireless network protocol stack of wireless networks is presented.
Book

Wireless sensor networks

TL;DR: In this paper, a wireless sensor network comprises at least one sensor unit which comprises a sensor for sensing a parameter and at least an interrogating node, which is arranged to transmit an interrogation message periodically to the sensor unit and to receive a reply message from said sensor unit.
Proceedings ArticleDOI

Data gathering in sensor networks using the energy*delay metric

TL;DR: This paper considers the problem of data collection from a sensor web consisting of N nodes, where nodes have packets of data in each round of communication that need to be gathered and fused with other nodes’ packets into one packet and transmitted to a distant base station.
Patent

CDMA mobile station wireless transmission power management with adaptive scheduling priorities based on battery power level

TL;DR: In this article, a method adapts scheduling priorities in a CDMA wireless communications system to conserve battery power in mobile terminals operating within the system, based on the battery power level information and other setup information, the base station adjusts scheduling priorities for the mobile terminals to expedite wireless transmissions from those mobile terminals reporting low battery power levels.