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DEVELOPMENT OF A SELF-ADAPTING INTELLIGENT SYSTEM FOR BUILDING ENERGY SAVING AND CONTEXT-AWARE SMART SERVICES

REPORTER: 戴邵賢

Author : Jinsung Byun and Sehyun Park

This paper appears in:  Consumer Electronics, IEEE Transactions onIssue Date :  February 2011 

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OUTLINEIntroduction

System Architecture

Implementation

Conclusion

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INTRODUCTION(1)

The researchers have recently focused on smart services and novel applications using an intelligent sensor.

Examples include a service that intelligently controls the LED light based on the user’s movement and the intensity of illumination sensed by smart sensors.

Research on building energy saving and smart services through a context aware system has been conducted.

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INTRODUCTION(2)

Existing systems have several limitations:Centralized system architectureFixed rule-based controlA limited network lifetime due to a sensor node using a

finite batterySelf-adapting Intelligent System (SIS)efficient self-clustering sensor network (ESSN)node type indicator based routing (NTIR)

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SYSTEM ARCHITECTURE(1/6)

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SYSTEM ARCHITECTURE(2/6)

The PGC:• provided to a user under a given situation

• The PM manages the generated patterns

The SMC:• Sensing Manager (SM)

• To receive the sensing data and specific events from the SIS

• Mining Manager (MM)

• It gathers the information from the Internet according to the user requests or the events caused by the variations in the user’s state and surroundings.

The SDC:• The SDC plays an important role in service creation,

service decision, service execution, service configuration, and service management

• The correlates the current situation with the pattern in order to search for the appropriate pattern.

• The DM analyzes the current user’s situation and surroundings

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SYSTEM ARCHITECTURE(3/6)Dynamic pattern generation (DPG) algorithm

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SYSTEM ARCHITECTURE(4/6)The Self-adapting Intelligent Sensor (SIS)

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• Events/data sensed by each node are aggregated by H-SIS and then transmitted to the SIG

• The SIG then analyses the user’s state and environmental patterns from the transmitted events/data

SYSTEM ARCHITECTURE(5/6)

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SYSTEM ARCHITECTURE(6/6)The Energy-efficient Self-clustering Sensor Network (ESSN)

• breakdown detection query (BDQ)• node discovery query (NDQ)

• The interval of BDQ transmission is determined in accordance with the predefined (fixed) and dynamic levels.

• If a source node needs a route to a destination node, it broadcasts a route request packet (ROUTE_REQ) to its neighbors

• When the destination receives a number of ROUTE_REQs from same source address, it selects the ROUTE_REQ with the minimum-hop path and returns to the source node a route reply packet (ROUTE_REP) including the route presented in the ROUTE_REQ.

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IMPLEMENTATION

These service scenarios are implemented by interacting with our system and a smart phone.• Building energy monitoring and control service using a

smart phone:• Consumer device control and management through the

environmental information gathered by the SIS

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IMPLEMENTATION

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The results show that the power saving using our system with fixed-threshold-based control and with DPG and AMA is approximately 6-18% and 16-24% respectively, depending on the number of SISs.

IMPLEMENTATION

ESSN-NTIR gradually decreases the slope of the service response time due to reduction in packet collision and packet loss.

ESSN-NTIR enhanced the average number of packet transmissions, about 46% and 21%.

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CONCLUSION

Green IT technology used for sustainable growth is emerging

The results show that the power saving using our system with DPG and AMA is approximately 16-24%, depending on the number of SISs.