Healthcare cloud computing for underground wireless sensor networks

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Wireless Sensor Networks (WSNs) are spatially dispersed networks furnished with a large number of nodes for monitoring and recording various environmental conditions. These networks are restrained in terms of their processing power, storage resources, and battery life. In other words, they are not themselves proficient in performing such diverse task set like localization of nodes, data processing etc. Cloud computing (CC) offers on-demand access of the resources like networks, servers, and information storage. Ensuring this sensitive information security, availability and scalability are a major factor in the cloud computing environment. In this paper, we proposed a mathematical model for measuring the availability of data and machines (nodes). We also present a proposed system known as Self Encryption System (SES) that will encrypt data before it is being sent to the cloud. The paper presents the steps to achieve the proposed system and also a sample of encrypted and decrypted file. © 2017 IEEE.
Original languageEnglish
Title of host publication2017 2nd International Conference on Frontiers of Sensors Technologies (ICFST)
Pages136-140
Number of pages5
ISBN (Electronic)978-1-5090-4860-1
DOIs
Publication statusPublished - 2017
EventIEEE 2nd International Conference on Frontiers of Sensors Technologies - Shenzhen, China
Duration: Apr 14 2017Apr 16 2017

Conference

ConferenceIEEE 2nd International Conference on Frontiers of Sensors Technologies
Abbreviated titleICFST 2017
CountryChina
CityShenzhen
Period4/14/174/16/17

Fingerprint Dive into the research topics of 'Healthcare cloud computing for underground wireless sensor networks'. Together they form a unique fingerprint.

  • Cite this

    Zungeru, A. M., Gorata, M., Mangwala, M., & Chuma, J. (2017). Healthcare cloud computing for underground wireless sensor networks. In 2017 2nd International Conference on Frontiers of Sensors Technologies (ICFST) (pp. 136-140) https://doi.org/10.1109/ICFST.2017.8210490