Reporter: 戴邵賢
description
Transcript of Reporter: 戴邵賢
1
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
2
OUTLINEIntroduction
System Architecture
Implementation
Conclusion
3
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.
4
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)
5
SYSTEM ARCHITECTURE(1/6)
6
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
7
SYSTEM ARCHITECTURE(3/6)Dynamic pattern generation (DPG) algorithm
8
SYSTEM ARCHITECTURE(4/6)The Self-adapting Intelligent Sensor (SIS)
9
• 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)
10
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.
11
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
12
IMPLEMENTATION
13
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%.
14
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.