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Scenario-based Configuration Agents for M2M Applications
Date Issued
2012
Date
2012
Author(s)
Tsai, I-Lung
Abstract
In recent years, Machine-to-Machine (M2M) is the newest science and technology issue. The main purpose of M2M is to make machines could automatically communicate, coordinate and configure without human intervention. There are more and more intelligent applications were developed to serve people, such like elderly care and green houses. However, the most important issue is ``How to make the system reconfigure machines according to user needs?" As a result, we can reduce the waste of computing resources and manpower consumption. This thesis presents a scenario-based framework for a more inclusive and scalable sensor network platform. This framwork consists of three descriptive documents for users:
- Profile is used to describe the specifications of the devices, so the installer can more easily manage the operation of machinery.
- Objective is used to describe the functionalities of system, so the developer can expand the intelligent applications to serve more people.
- Scenario is used to acquire the end-user needs and preferences.
This framework consists of five agents to analyze the environmental contexts and these documents, then automatically reconfigure the system and devices operation, and adapt to the environment.
- Network, Data, and Transition agents are responsible for the network communication, data collection, and the scenario identification.
- Reconfiguration agent deal with the scenario changing and how to correspond to the setting and operation of the devices.
- Adaptation agent select the approximate house appliances to provide users with the best services.
The thesis presents the genetic algorithm (GA) for adaptation. In execution time, GA not only could help the system automatically in response to scenario changing and adjust the devices operations, but also immediately integrate the new devices with others. Finally, we use examples of home and a small seminar room, to show our framework is useful to adjust M2M applications according to the environment changing and user needs at anytime.
- Profile is used to describe the specifications of the devices, so the installer can more easily manage the operation of machinery.
- Objective is used to describe the functionalities of system, so the developer can expand the intelligent applications to serve more people.
- Scenario is used to acquire the end-user needs and preferences.
This framework consists of five agents to analyze the environmental contexts and these documents, then automatically reconfigure the system and devices operation, and adapt to the environment.
- Network, Data, and Transition agents are responsible for the network communication, data collection, and the scenario identification.
- Reconfiguration agent deal with the scenario changing and how to correspond to the setting and operation of the devices.
- Adaptation agent select the approximate house appliances to provide users with the best services.
The thesis presents the genetic algorithm (GA) for adaptation. In execution time, GA not only could help the system automatically in response to scenario changing and adjust the devices operations, but also immediately integrate the new devices with others. Finally, we use examples of home and a small seminar room, to show our framework is useful to adjust M2M applications according to the environment changing and user needs at anytime.
Subjects
M2M
adaptation
reconfiguration
Type
thesis
File(s)
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Name
ntu-101-R99944030-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):a1f9407254e1b30dde4e444b8f29e4b4