Competitive Behavior in Social Communicating Objects

The Internet of Things (loT) is composed of a system of intelligent objects interacting with each other and connected to the Internet. This loT system suffers from several problems that are due to the increase in the number of homogeneous and heterogeneous connected objects as well as the nomadicity of objects. To solve this problem we propose the transformation of these objects into social objects by transposing the social behaviors of human beings to connected objects. In this paper we will present our proposed model that is based on six interaction principles. We focus on the compete principle. We implement our model on a Netlogo multi-agent simulator. The simulation results show that our proposal is more effective compared to a competition model proposed by research work.

Authors

Institutions

Publication Details

Published
2024-10-31
DOI
https://doi.org/10.1109/imc-ssgp63352.2024.10919811
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Competitive Behavior in Social Communicating Objects

Rim Kilani, Ahmed Zouinkhi, Mohamed Naceur Abdelkrim
Knowledge Management and Sharing
article

Competitive Behavior in Social Communicating Objects

Rim Kilani, Ahmed Zouinkhi, Mohamed Naceur Abdelkrim
article en

Abstract

The Internet of Things (loT) is composed of a system of intelligent objects interacting with each other and connected to the Internet. This loT system suffers from several problems that are due to the increase in the number of homogeneous and heterogeneous connected objects as well as the nomadicity of objects. To solve this problem we propose the transformation of these objects into social objects by transposing the social behaviors of human beings to connected objects. In this paper we will present our proposed model that is based on six interaction principles. We focus on the compete principle. We implement our model on a Netlogo multi-agent simulator. The simulation results show that our proposal is more effective compared to a competition model proposed by research work.

University of Gabès (TN)
Reduced inequalities
Openalex Percentile: Top 62%
Knowledge Management and Sharing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.