Embedding Swarm Intelligence in Internet of Things Networks: A Social Insect Approach

Sergio V Davalos, Ph.D

doi:10.33642/ijbass.v6n5p8

Abstract

This paper introduces a framework for embedding intelligence in the Internet of Things (IoT) networks. The framework draws upon agent-based modeling, swarm intelligence, social insect behavior, and evolutionary adaptation. The key principles for each of these areas are first discussed. These concepts are then discussed from an IoTs perspective. The resulting capabilities and potential of embedding this type of intelligence are outlined.

Highlights

This paper introduces a framework for embedding intelligence in the Internet of Things (IoT) networks
An approach to developing distributed solutions agents in a simulated environment. This can lead to an for problems is to take an approach based on Complex understanding of how agent-based outcomes can occur in Adaptive Systems (CAS)
Swarm intelligence is biologically motivated by the study technologies such as real-time analytics, machine learning, of social insects, flocks of birds, herds, and pedestrians. and embedded systems including sensors, sensor networks, Colonies of social insects achieve home, and building automation

Summary

INTRODUCTION

An approach to developing distributed solutions agents in a simulated environment This can lead to an for problems is to take an approach based on Complex understanding of how agent-based outcomes can occur in Adaptive Systems (CAS). It is In this paper, we examine how Swarm Intelligence (SI) can logical to examine the role of agent-based modeling in be utilized when implementing IoT ecosystems. Algorithms focused on providing faster and more robust We discuss addressing the IoT with embedded intelligence solutions to solve complex problems. Each agent has a set of rules (decision the underlying requirements for achieving swarm making), attributes, and behavioral responses to the intelligence. In this regard, ABM can have a role identify the key aspects that result in swarm intelligence

Ant Colony and Bee Colony Optimization

Requirements for SI The underlying requirements for achieving

Automation school