A roadmap towards energy‐efficient data fusion methods in the Internet of Things

Nowadays, with the rapid progress of Internet‐based and distributed systems such as cloud computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements in almost every engineering and commercial field have been made. On the basis of IoT, smart cities are formed utilizing...

Full description

Saved in:
Bibliographic Details
Published in:Concurrency and computation 2022-07, Vol.34 (15), p.n/a
Main Authors: Pourghebleh, Behrouz, Hekmati, Negin, Davoudnia, Zahra, Sadeghi, Mehrdad
Format: Article
Language:English
Subjects:
Cloud computing
Computer networks
data fusion
Data integration
Data processing
Data transmission
energy efficiency
Internet of Things
Smart cities
survey
systematic review
Transmission efficiency
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Nowadays, with the rapid progress of Internet‐based and distributed systems such as cloud computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements in almost every engineering and commercial field have been made. On the basis of IoT, smart cities are formed utilizing intelligent information processing, universal connectivity, ubiquitous sensing, and real‐time monitoring. Energy conservation is one of the significant issues in current IoT development due to the poor battery endurance of IoT objects. Over the last years, with smart cities' explosive growth, a huge range of studies regarding energy efficiency have been done. The diversity of sparse data and multi‐sourcing is utilized in developing IoT scenarios. In order to use efficiently of these data to improve the IoT services, data fusion plays an important role. It saves network resources, improves data transmission efficiency, and extracts useful information from raw data. To the best of our knowledge, there is still a lack of a comprehensive and systematic study about surveying and analyzing the available energy‐efficient data fusion techniques in the IoT. Thus, this article aims to address this gap using a systematic method.
ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.6959