Abstract

The smart-house technology aims to increase home automation and security with reduced energy consumption. A smart house consists of various intelligent sensors and actuators operating on different platforms with conflicting objectives. This paper proposes a multi-agent system (MAS) design framework to achieve smart house automation. The novelties of this work include the developments of (1) belief, desire and intention (BDI) agent behavior models; (2) a regulation policy-based multi-agent collaboration mechanism; and (3) a set of metrics for MAS performance evaluation. Simulations of case studies are performed using the Java Agent Development Environment (JADE) to demonstrate the advantages of the proposed method.

Highlights

  • A smart house consists of a variety of embedded sensors/actuators, distributed/mobile computing units and energy harvesting devices

  • The goal of this study is to develop a multi-agent system (MAS) framework with a set of design tools for smart house and home automation applications, which can: 1. design and control individual agent behaviors based on a belief, desire and intention model; 2. design and control multi-agent group behaviors based on a regulation policy; and

  • Low complexity intentions correspond to simple agent behaviors

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Summary

Introduction

A smart house consists of a variety of embedded sensors/actuators, distributed/mobile computing units and energy harvesting devices. The smart house technology enables home automation functions, such as lighting/venting/air conditioning control, multimedia, security, healthcare, etc. 2013, 2 can understand environmental contexts, such as weather, time and location, as well as human contexts, such as identity, activity and behavior. Based on the contextual information, the smart house can provide services, such as energy efficiency control, security monitoring and medical assistance, as shown in

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