Study of cloud sensor network with reliable infrastructure and architecture

Monica, K. M. and Sridevi, S. and Bindu, G. (2022) Study of cloud sensor network with reliable infrastructure and architecture. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 19–20 June 2021, Malappuram, India.

Full text not available from this repository. (Request a copy)

Abstract

Numerous associations wanted to work their organizations, works and administrations in an extremely portable (for example with perfect timing and anyplace), dynamic, and information situated style. Exercises like e-learning, natural learning, distant assessment, medical services, home security and wellbeing components and so on needs an uncommon foundation which may offer persistent, got, solid and versatile information with right data/information the board situation in setting to their restricted climate and its clients. An uncertain assortment of finder networks for different medical services applications has been planned and implemented anyway every one of them lacking extensibility, adaptation to non-critical failure, portability, steadfastness and transparency. Consequently, in this paper an open, adaptable and re-arrange able foundation is anticipated medical services recognition applications, here the sensors utilized as virtual sensors on distributed computing organization. In this paper we will in general audit a few ways to deal with rush the assistance manifestations in field of medical services and various applications with Cloud-Sensor plan. This plan offers types of assistance to complete clients while not stressing in regards to its execution subtleties. The plan allows the help requesters to utilize the virtual sensors without anyone else or they will create diverse new administrations by expanding virtual sensors.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Computer Network
Divisions: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 13 Sep 2024 10:03
Last Modified: 13 Sep 2024 10:03
URI: https://ir.vistas.ac.in/id/eprint/5901

Actions (login required)

View Item
View Item