development of a self-adapting intelligent system for building energy saving and context-aware smart...
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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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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 architecture
Fixed rule-based control
A limited network lifetime due to a sensor node using a finite battery
Self-adapting Intelligent System (SIS)
efficient self-clustering sensor network (ESSN)
node type indicator based routing (NTIR)
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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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• 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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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%.