Title: Rapid retrieval of secured data from the sensor cloud using a relative record index and energy management of sensors

Authors: S. Geetha; P. Deepalakshmi

Addresses: ISE, CMR Institute of Technology, Visvesvaraya Technological University, Bangalore, Karnataka, India ' Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India

Abstract: A massive amount of data is produced by sensors. These data finds a place in the cloud through a base station. Occasionally, the data collection process is disrupted as a result of the energy level of the sensor network due to voids. Void sensors do not propagate messages intended for the destination. We have addressed the issue of voids in sensors with the dynamic void removal algorithm. Retrieval of data from cloud is performed by relative record index associated with a security mechanism. Authenticated customers are given a secret key to rapidly retrieve data from the cloud. Meanwhile sensor networks require a secure mutual authentication scheme in an anxious network environment; our etiquette can handle all problems thrown up by the former schemes. Therefore, our protocol is more suited to an open and higher-security Sensor Network environment despite greater computation cost and energy.

Keywords: wireless sensor network; WSN; sensor cloud; void sensors; dynamic void removal algorithm; DVRA; relative record index; RRI.

DOI: 10.1504/IJIE.2020.104641

International Journal of Intelligent Enterprise, 2020 Vol.7 No.1/2/3, pp.3 - 14

Received: 18 May 2018
Accepted: 11 Jul 2018

Published online: 27 Jan 2020 *

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