Work

Data Traffic Reduction in Wireless Internet of Things Using Deep Compressive Sensing and Reconstruction Algorithm

Year: 2023

Type: article

Abstract: Companies across a wide variety of sectors are rapidly moving to IoT to boost productivity, understand better clients in order to provide better customer service, enhance decision-making, and maximize the profitability of their businesses. But having these advantages, there is a drawback in using this technology, that large amount of data transmission creates congestion or traffic inside the network thus to reduces such drawback the technique namely compressed sensing was used. This paper reviews the Internet of things (IoT), traffic or congestion in the network, compressed sensing.

Source: SAMRIDDHI A Journal of Physical Sciences Engineering and Technology

DOI: 10.18090/10.18090/samriddhi.v15i01.32

Authors: Hemant Rajoriya, Ritesh Sadiwala

Institution: RKDF University

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4386123798

FWCI:

Cites: 11

Cited by:

Related to: 10