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Raghuraman Rangarajan

dblp:73/5147 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-7764-9380ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Network optimization and economics · 77% Internet of things and sensor networks · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network optimization and economics
resource allocation
0.212016
Demonstration Abstract: Automated Resource Allocation for T-Res · IPSN 2016
Internet of things and sensor networks › wireless sensor network
programming abstractions
0.112016
Demonstration Abstract: Automated Resource Allocation for T-Res · IPSN 2016
YearPublicationVenuePosition
2019 Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic Shaping
abstract
XDense is a novel wired 2D mesh grid sensor network system for application scenarios that benefit from densely deployed sensing (e.g., thousands of sensors per square meter). It was conceived for cyber-physical systems that require real-time sensing and actuation, like active flow control on aircraft wing surfaces. XDense communication and distributed processing capabilities are designed to enable complex feature extraction within bounded time and in a responsive manner. In this article, we tackle the issue of deterministic behavior of XDense. We present a methodology that uses traffic-shaping heuristics to guarantee bounded communication delays and the fulfillment of memory requirements. We evaluate the model for varied network configurations and workload, and present a comparative performance analysis in terms of link utilization, queue size, and execution time. With the proposed traffic-shaping heuristics, we endow XDense with the capabilities required for real-time applications.
João Loureiro, Raghuraman Rangarajan, Borislav Nikolic, Leandro Soares Indrusiak, Eduardo Tovar
ACM Trans. Cyber Phys. Syst.2
2017 Real-time dense wired sensor network based on traffic shaping
abstract
XDense is a novel wired 2D-mesh grid sensor network system for application scenarios that benefit from densely deployed sensing (e.g. thousands of sensors per square meter). It was conceived for closed-loop cyber-physical systems (CPS) that require real-time actuation, like active flow control (AFC) on aircraft wing surfaces. XDense communication and distributed processing capabilities are designed such that they enable to extract complex features within bounded time and in a responsive manner. In this paper we tackle the issue of deterministic behavior of XDense. We present a methodology that uses traffic shaping heuristics to guarantee bounded communication delays and the fulfillment of memory requirements. We evaluate the model for varied network configurations and workload, and demonstrate the effectiveness of running real-time applications supported on XDense.
João Loureiro, Raghuraman Rangarajan, Borislav Nikolic, Leandro Soares Indrusiak, Eduardo Tovar
RTCSA2
2016 Demonstration Abstract: Automated Resource Allocation for T-Res
abstract
This paper presents a demo of an extension developed to support an existing programming abstraction for IoT: mT-Res. mT-Res is an extension of the T-Res programming abstraction, which allows users to write applications using a web framework independent of resources. The paper describes an automated mechanism for allocate resources to such applications and adapt to changes in those resources.
Shashank Gaur, Raghuraman Rangarajan, Eduardo Tovar
IPSN2