R
Rakesh Kumar Saini
Researcher at DIT University
Publications - 29
Citations - 143
Rakesh Kumar Saini is an academic researcher from DIT University. The author has contributed to research in topics: Wireless sensor network & Routing protocol. The author has an hindex of 3, co-authored 22 publications receiving 88 citations. Previous affiliations of Rakesh Kumar Saini include Indian Institute of Technology Guwahati & University of Delhi.
Papers
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Journal ArticleDOI
Copper catalyzed oxidation of sulfides to sulfoxides with aqueous hydrogen peroxide
TL;DR: In this article, a catalytic amount of TEMPO was added to the reaction mixture to enhance the conversion and selectivity of copper(II) complex 1, which can be recycled without loss of activity.
Proceedings ArticleDOI
Agriculture monitoring and prediction using Internet of Things (IoT)
TL;DR: In this paper, the authors proposed a smart farming model based on the Internet of Things using the clustering to deal with the adverse condition, in this model, they use the different types of the sensors like soil moisture, air pressure, rain detection and humidity sensors for a different purpose.
Journal ArticleDOI
Data Flow in Wireless Sensor Network Protocol Stack by Using Bellman-Ford Routing Algorithm
TL;DR: This paper study and analysis Bellman-Ford routing algorithm and check the flow of data between these protocol layers and uses Qualnet 5.0.2 simulator tool for simulation purpose.
Journal ArticleDOI
Lossy Mode Resonance-Based Refractive Index Sensor for Sucrose Concentration Measurement
Rakesh Kumar Saini,Anil Kumar,Geeta Bhatt,Avinashi Kapoor,Ayushi Paliwal,Monika Tomar,Vinay Gupta +6 more
TL;DR: In this article, a detailed analysis of Prism/LiF/ZnO structure based lossy mode resonance sensor is presented for measurement of sucrose concentration, which achieves high sensitivity for a range of surrounding medium refractive indices (1.33-1.45).
Proceedings ArticleDOI
Energy-Saving Sensors for Precision Agriculture in Wireless Sensor Network: A Review
TL;DR: This work deals with agricultural sensor network which measures temperature, soil moisture, humidity based on ranking and a number of sensing technologies are used in precision agriculture, providing data that helps farmers monitor and optimize crops.