Paper Info
Title
Algorithms for Big Data Delivery over the Internet of Things
Abstract
Enormous amounts of data are growing because of the continuous and increasing use of smart devices which connect, collect, exchange and transfer these large amounts of data. With the convergence of new technologies like Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Cloud Computing (CC) many sectors are benefited. Our research has to do with Big Data Delivery over the IoT. Specifically, in our research we are trying to investigate new communication protocols, new security mechanisms, new efficient, faster, safer, and energy efficient solutions and algorithms for healthcare systems (hospital buildings, rooms, etc.). The aim of our research is to create and propose suitable algorithms for efficient transmission of health big data, for management issues, for the analysis of IoT data and for security solutions. Our current position is the experimentation with IoT devices, IoT health data, big data analytics, and healthcare systems. In this paper we present some of the challenges and the issues of Big Data. We also present work that has been done by other researchers. Finally, is presented an open source tool for experimentation, so that we can view the system in detail. Such a tool is the Cooja emulator which is part of the Contiki OS, and is presented also in this paper. As future work we manage to implement such a healthcare system, provide more efficient algorithms, and investigate new protocols for more efficient and secure transmissions of the sensitive health data. By these improvements we are going to provide better healthcare and faster diagnosis to everybody.
Year
DOI
Venue
2017
10.1109/CBI.2017.27
2017 IEEE 19th Conference on Business Informatics (CBI)
Keywords
Field
DocType
Big Data,IoT,WSN,algorithms,security,Cooja,Contiki OS
Health care,Computer security,Efficient energy use,SAFER,Algorithm,Emerging technologies,Engineering,Wireless sensor network,Big data,Cloud computing,Communications protocol
Conference
Volume
ISSN
ISBN
01
2378-1963
978-1-5386-3036-5
Citations 
PageRank 
References 
0
0.34
11
Authors
2
Name
Order
Citations
PageRank
Andreas P. Plageras1363.20
Kostas E. Psannis244329.71