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Rajasekhara Babu Madda

Researcher at VIT University

Publications -  7
Citations -  311

Rajasekhara Babu Madda is an academic researcher from VIT University. The author has contributed to research in topics: Cloud computing & Wireless network. The author has an hindex of 5, co-authored 6 publications receiving 144 citations.

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Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair)

TL;DR: A three-phase air pollution monitoring system analogous to Google traffic or the navigation application of Google Maps is proposed, and air quality data can be used to predict future air quality index (AQI) levels.
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Internet of things-based fog and cloud computing technology for smart traffic monitoring

TL;DR: An integrated fog and cloud computing framework is introduced to overcome the limitations of real-time analytics, latency and network congestion of basic cloud services for traffic monitoring and the results show the efficiency of the fog network in improving the performance of the cloud platform in terms of reducing the response time and increasing the bandwidth.
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Low energy aware communication process in IoT using the green computing approach

TL;DR: In this article, the authors proposed the least energy aware communication technique for the Internet of Things (IoT) which is a promising paradigm for IoT is reduced 30% communication overhead.
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Intelligent vertical handoff decision strategy based on network performance prediction and consumer surplus value for next generation wireless networks

TL;DR: An intelligent VHO decision strategy targeting to maximise user satisfaction without compromising on quality of service for non-real time mobile based services is proposed and applies consumer surplus value-based pricing scheme and also a prediction system to approximate network performances at various intervals.
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Duo-Stage Decision: A Framework for Filling Missing Values, Consistency Check, and Repair of Decision Matrices in Multicriteria Group Decision Making

TL;DR: A new duo-stage decision framework in the context of IF set to better circumvent the challenge of maintaining consistency in the decision matrix is proposed and efforts are made to repair inconsistent decision matrix iteratively.