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物联网中基于历史上下文的决策模型

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随着物联网技术及普适计算技术的深入普及,能够提供智能决策、智能预测的应用服务越来越受到人们的追捧,而这种决策服务也必将成为未来的趋势.基于此提出一种物联网中基于历史上下文的决策模型.该模型集成上下文感知计算、数据融合技术、传感器技术和多代理机制于一体.提出该模型的四层架构:数据感知层、数据处理层、决策层和应用层,并通过家庭健康监护这个场景来说明模型的实现步骤.该决策模型具有较好的可扩展性和应用前景,能够适用于将来的物联网决策支持应用,为物联网中智能决策、预测等服务提供一个统一的框架.

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‘

ISSN

计算机研究与发展

1000—12391CN

1777／TP

Research and

Development

Journal

Computer

48(Suppl．)：314—319，2011

物联网中基于历史上下文的决策模型

哲

陈志奎邱-4李良 }、范玉韦

(大连理工大学软件学院辽宁大连 116621)

(．edu．cn，yitengqiu@qq．com)

Historical Context—Based Decision

Model on

Internet

Making

Things

Chen

Wei Zhe

Fanyu，and

Zhikui，Qiu Yiteng，Li

Liang，Bu

D，Software，Dalian

116620)

University of Technology，Dalian，Liaoning

(College

Abstract

intelligent

With the further

of the Internet of

decision

spread

things(IOT)and pervasive computing，

service that can

and

is more and

service will also become the future trend．Based

this，a

making

provide intelligent

making

forecasting applications

decision

popular．This

context—based

model on IOT is

this

model，we

integrate

historical

decision

making

computing，data fusion，sensor technology

model consists of four awareness

proposed．In

context—aware

and multi

mechanism

agent

together．The

levels：data

proposed

layer，data processing layer，decision—making

of the decision model are

and

described in

layer

application layer．The implementation steps

health—care．It shows that the decision

making

model has

the scene of the

and

family

making

good scalability

can be used for the future decision

in 10T and

provide

prospects．It

application

making applications

unified framework for the

and

forecasting

decision

services．

intelligent

making

model；agent；health care；lOT

making

words

context；decision

Key

摘要随着物联网技术及普适计算技术的深入普及，能够提供智能决策、智能预测的应用服务越来越

受到人们的追捧，而这种决策服务也必将成为未来的趋势．基于此提出一种物联网中基于历史上下文的

决策模型．该模型集成上下文感知计算、数据融合技术、传感器技术和多代理机制于一体．提出该模型的

四层架构：数据感知层、数据处理层、决策层和应用层，并通过家庭健康监护这个场景来说明模型的实现

步骤．该决策模型具有较好的可扩展性和应用前景，能够适用于将来的物联网决策支持应用，为物联网

中智能决策、预测等服务提供一个统一的框架．

关键词土下文；决策模型；代理；健康监护；物联网

中图法分类号TP391

of future trends and

dimension of

communication and

of the context is

integration[1_z]．The concept

defined as the whole information

which

part

developments，

“things’’

the Internet of

the

things(IOT)will shape

of lOT can be

society．

The

as an

concept

regarded

usually

could describe the situation of an

extension of the

interaction between

the

existing

entity．As

of the

humans and

new

most

important

the

research

aspect

applications

through

pervasive

07 06

收稿日期：2011

基金项目：中央高校基本科研业务费专项资金项目(DUTl0JR04，DUTl0ZDll0)

万方数据

315

陈志奎等：物联网中基于历史上下文的决策模型

on it

extracted from sensors is as measures

represented

will

of the

computing，the study

to the

bring strong

sensors

of belief in an event．The

may

promotion

development

pervasive

computing[3_4]．

dynamically configurable，and may produce ranges

can

with error estimates．The

will

knowledge

context—aware

advantage

certainly

the

Applications

computing

discover and take

of contextual

dynamically configurable，depending

the

of WSN

state of the

information．In

are envisioned to

system．

future，applications

the

1．3

Multi—agent

adapt

applications’behaviors

of environment and its

Agent ^is

entity

complete

various contexts

particular job

by utilizing

without

information

often be

environment

manual

users．The context

may

particular

and

intervention

and also

make

heterogeneous，which

oversight．Agent

adaptive，

ambiguous

and

can not

the

context information to

collaborative．Agents

only

unambiguous

intelligent

delivery

little

their work

but also

real

applications extremely challenging．But

complete

independently，

other

task．

work has been devoted

the research of context

collaborate with

here

mainly

agents

complete

refers to software

agent．Multi—

our research，we

historical

propose

Agent

history．In

context—based

context

decision

model．

is the structure formed

solve the

technology

making

Using

triggered

or recommend

navigation

agent

number of

model is able to be

agents，to

complex problems

history，the

which

cannot solve[11 ¹2I．

single agent

emergency response

has

been

new

and serviceIs一7|．

computing

Agent—based

in software

and

paradigm

applications development

there are some characteristics for

such as

intelligent

Key Technology

and

agents，

autonomy，，adaptation

consist of the

1．1

Context—aware

This model

cooperation．Multi—agent systems

various that execute each

Computing

combines

contexvaware

goals．

computing

agents

which can

information[83。including

and

the context

analyze

handle，get

the five

Architecture

sub-technologies：1)

context-

context_getting；

context-modeling；

The historical context—based decision

making

reasoning；4)context-conflict-solving；5)contexV

and

model has four

storage

management．

of the 1imitations of the

layers．Furthermore，each layer

context—

has its own _agentsto execute each

goal．

One

awareness

1)Data

the

rough

aware

the current

considering

only

layer：collecting

application

context information and user

context．Context

has

history

many possibilities

context，including

the

rough

the services．If the context

can be

awareness

and user

agent．

agent

improve

history

and

services can

2)Data

processing layer：refining

used，the

intelligent

personalized

users’

context and

the context information based

fusing

to the users

provided

from context

by extracting

has

the user

context

profile，including

refining agent

patterns

been used for the

history．Context history

of future context，

and context fusion

agent．

prediction

based

the

selection of devices and

1．2 Data Fusion

10]．

adaptation[9

3)Decision—making layer：

context

to make decisions，

history

including

The

of data fusion are as

decision

making agent．

technologies

followed：1)data

conversion；2)data related；3)

4)Application layer：the application

the

state

database；4)fusion

triggered

trigger agent．

reasoning；5)fusion

the

lOSS．

The_Fig．1below shows the architecture of

information

decision

model．

making

In most data fusion

systems，the

万方数据

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