Skip to search formSkip to main contentSkip to account menu

Routing Issues in Internet of Things : A Survey

This survey emphasizes on routing of the data in IoT, not only to analyze, compare and consolidate the past research work but also to appreciate their findings and discuss their applicability towards the IoT.

Fractional Gravitational Grey Wolf Optimization to Multi-Path Data Transmission in IoT

The experimental results show that the proposed FGSA + FGGWO algorithm has higher performance regarding energy and alive nodes, in comparison with the existing ABC’s+”ACO, FABC’+“EACO”, and Threshold’ + ACO techniques.
Springer Nature (opens in a new tab)

Multi-objective fractional gravitational search algorithm for energy efficient routing in IoT

A multi-objective fractional gravitational search algorithm is proposed to find the optimal cluster head for energy efficient routing protocol in IoT network and ensures to prolong the lifetime of IoT nodes.
Springer Nature (opens in a new tab)

Context Awareness in IoT Routing

This paper mainly focuses on the context awareness and its need while routing the data and also discusses the context storage methods and context gathering phases.
IEEE (opens in a new tab)

Deep learning-driven rainfall prediction leveraging hybrid child drawing development optimization and time series data

In this research, rainfall is predicted using a DL technique named ConvLSTM, whose parameters are optimized by the proposed HCDDO algorithm, and the supremacy of HCDDO_ConvLSTM is found based on various performance measures.
Springer Nature (opens in a new tab)

A secure data sharing framework with AESMO enabled key generation in consortium blockchain based E-government system

Publisher (opens in a new tab)

Stationary wavelet transform and SpinalNet trained light spectrum Tasmanian devil optimization enabled DR detection using fundus images

Here, Light Spectrum Tasmanian Devil Optimization (LSTDO) is utilized with SpinalNet for DR detection and the accuracy, sensitivity, and specificity obtained by the LSTDO-based SpinalNet are 91.6, 89.9 and 92.1%, respectively.
Springer Nature (opens in a new tab)

Gradient bald vulture optimization enabled multi-objective Unet++ with DCNN for prostate cancer segmentation and detection

Publisher (opens in a new tab)

H-Dense FH Net: Hierarchical dense forward harmonic network for depression detection

Publisher (opens in a new tab)

An Optimal Routing Algorithm for Internet of Things Enabling Technologies

A routing algorithm is presented for the networks consisting of smart objects, so that the Internet of Things and its enabling technologies can provide high reliability while the transmitting the data.
Publisher (opens in a new tab)
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)