N
Nandini Mukherjee
Researcher at Jadavpur University
Publications - 187
Citations - 1217
Nandini Mukherjee is an academic researcher from Jadavpur University. The author has contributed to research in topics: Wireless sensor network & Cloud computing. The author has an hindex of 15, co-authored 162 publications receiving 1028 citations. Previous affiliations of Nandini Mukherjee include R. G. Kar Medical College and Hospital & University of Manchester.
Papers
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Proceedings ArticleDOI
Vehicular pollution monitoring using IoT
TL;DR: Combined Wireless Sensor Network and Electrochemical Toxic Gas Sensors and a Radio Frequency Identification (RFID) tagging system to monitor car pollution records anytime anywhere and track vehicles which cause pollution over a specified limit.
Proceedings ArticleDOI
Optimizing the utilization of virtual resources in Cloud environment
TL;DR: The proposed architecture, named as Monitoring & Optimizing Virtual Resources (MOVR) architecture, manages and optimizes the usage of the resources required by a cloud application considering auto deployment, auto scaling and auto recovery of the provisioned resources for the application.
Proceedings ArticleDOI
A modified SPIN for wireless sensor networks
TL;DR: A modified version of SPIN protocol named M-SPIN is proposed and its performance is compared with traditionalSPIN protocol using broadcast communication, which is a well known protocol as benchmark and finds that, M- SPIN exhibits significant performance gains than traditional SPIN routing.
Proceedings ArticleDOI
iHealth: A fuzzy approach for provisioning intelligent health-care system in smart city
TL;DR: A fuzzy assisted data gathering and alert scheme is proposed for healthcare services and unnecessary waste of energy by transmission of unnecessary information is avoided.
Book ChapterDOI
Application-Centric resource provisioning for amazon EC2 spot instances
TL;DR: In this article, the authors study various checkpointing schemes to increase the reliability over spot instances and devise a novel checkpointing scheme on top of application-centric resource provisioning framework that increases the reliability while reducing the cost significantly.