scholarly journals A bio-inspired adaptive model for search and selection in the Internet of Things environment

2021 ◽  
Vol 7 ◽  
pp. e762
Author(s):  
Soukaina Bouarourou ◽  
Abdelhak Boulaalam ◽  
El Habib Nfaoui

The Internet of Things (IoT) is a paradigm that can connect an enormous number of intelligent objects, share large amounts of data, and produce new services. However, it is a challenge to select the proper sensors for a given request due to the number of devices in use, the available resources, the restrictions on resource utilization, the nature of IoT networks, and the number of similar services. Previous studies have suggested how to best address this challenge, but suffer from low accuracy and high execution times. We propose a new distributed model to efficiently deal with heterogeneous sensors and select accurate ones in a dynamic IoT environment. The model’s server uses and manages multiple gateways to respond to the request requirements. First, sensors were grouped into three semantic categories and several semantic sensor network types in order to define the space of interest. Second, each type’s sensors were clustered using the Whale-based Sensor Clustering (WhaleCLUST) algorithm according to the context properties. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was improved to search and select the most adequate sensor matching users’ requirements. Experimental results from real data sets demonstrate that our proposal outperforms state-of-the-art approaches in terms of accuracy (96%), execution time, quality of clustering, and scalability of clustering.

Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1920 ◽  
Author(s):  
Juanli Li ◽  
Jiacheng Xie ◽  
Zhaojian Yang ◽  
Junjie Li

2020 ◽  
Vol 106 ◽  
pp. 102240
Author(s):  
Saci Medileh ◽  
Abdelkader Laouid ◽  
El Moatez Billah Nagoudi ◽  
Reinhardt Euler ◽  
Ahcène Bounceur ◽  
...  

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 81451-81465 ◽  
Author(s):  
Guolong Shi ◽  
Yigang He ◽  
Baiqiang Yin ◽  
Lei Zuo ◽  
Peiliang She ◽  
...  

2011 ◽  
Vol 48-49 ◽  
pp. 406-409
Author(s):  
Guang Bing Xiao ◽  
Yong Jun Min ◽  
Wei Yi Cai

This paper aims at designing a visibility forecasting system on freeways based on the Internet of Things. Physical processes of fog formation on freeways are explored by the related real data and circulation background fields, and then some characteristics are presented through the forecasting model. The paper introduces the Zigbee protocol into the hardware design of the system, in which the epigenous machines can analyze the received data dynamically.


Sign in / Sign up

Export Citation Format

Share Document