Download - Adaptive and context aware service discovery for the internet of things - Rusmart 2013 conference
Adaptive and Context-aware Service Discovery
for the Internet of Things
Talal Ashraf Butt, Iain Phillips, Lin Guan, George Oikonomou
Loughborough University, UK
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Agenda
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Service Discovery role
IoT vision
TRENDY SD protocol
Experiments and Results
TRENDY techniques
Conclusion and Future work
IoT vision
IoT
vision
Any* Integration
WoT
Standardisation
for Interoperability
Web level
integration
Anywhere
Anytime
Anything
Anyone
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Role of Service Discovery
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Router User Agent
(UA)
I need * service
• Switch off the lights in corridor of x building
• Give me the overall temperature of x building
• Close all the windows when its windy
• Close all the windows when no one in the room
• If rooms temperature is below x and someone in the room
Then Switch on the heating and close the windows
Existing Solutions: Gaps
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limited
Packet
Size
limited
Bandwidth
Protocols Sleeping
Nodes
Limited
ROM and RAM Bulky
formats
PULL-based
Compact version for 6LoWPAN
Translation
Overhead
Architecture
6LoWPAN constraints Heavy Dependencies
Our Vision
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6LoWPAN Internet of Things
Service discovery
Web Services
Discoverability
Interoperability
Web of Things
WoT: SD Requirements
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6LoWPAN General
Compact
Size
Sleep
Cycles
Heterogeneity
Scalability
Efficiency
Service
Selection
Requirements
Interoperability
Compact
packets
Service
Composition
Requirements
Solution: TRENDY SD Protocol
Trend-based
Serivce Discovery
Protocol
Interoperable Compact Context
Aware Adaptive
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Service Discovery
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Architecture
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CoAP
Service
Invocation
IETF’s standard
Existing Web
Constrained
domains
Restful Web Service Paradigm
Compact
Interoperable Low
overhead
IoT requirement
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User
assistance
Push
Based Extensible
Centralised
Decision
making
Query
Sophistication
Energy
And
delay
Provided
If maintained
New
Context
attributes
Service
Selection
Network-wide
view
Discovery Efficiency
Context
Aware
Context-Awareness
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Service Description
Diverse
Requirements
Compactness Semantic
Detail
Use Simple format
Also allow other formats Solution
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TRENDY Timer
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TRENDY Timer
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TRENDY Timer
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Localised
traffic
Resource
Awareness
In-network
data
processing
Increases
Scalability
Base for
Service
Composition
Benefits of
Grouping
Location-based Grouping
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APPUB (Adaptive Piggybacked Publishing)
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TRENDY Protocol
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Alternatives
• Multicast
• Directory-less
• Complex application
gateway
• Control overhead
• In progress
• Can use TRENDY
techniques
uBonjour SSLP based IETF RD
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Experiments and Results
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DA
UA
Edge-Router
RPL routing protocol
ContikiMAC as RDC
6LowPAN
Of 35 Nodes
Linux
processes
Results
Timer APPUB
• Low overhead
• Scalability
• Energy efficiency
• Better user
response
• Low overhead
• Energy efficiency
Grouping
• Scalability
• Energy efficiency
Adaptive
Control
Traffic
Distributed
Behaviour Adaptive
Caching
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Conclusion and Future work
• New feature
– Dynamic Service Composition
• New techniques
– Multicasting for Group-based communication
• Experiments
– Large scale networks
– Multiple networks via DNS
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