awSOA: Agents-based SOA for Wireless Sensor & Actor Networks

awSOA:Agents-based SOA for

Wireless Sensor & Actor Networks(Multi-Agents Systems Programming)

Master in Software Engineering & Artificial Intelligence

awawSOA:SOA:AgentsAgents--based SOA forbased SOA for

Wireless Sensor & Actor NetworksWireless Sensor & Actor Networks(Multi(Multi--Agents Systems Programming)Agents Systems Programming)

Master in Software Engineering & Artificial IntelligenceMaster in Software Engineering & Artificial Intelligence

Computer Science DepartmentUniversity of Malaga

Juan Antonio Martin Checawww.telefonica.net/web2/jamcheca

2011



2011

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Index of contentsIndex of contentsIndex of contents

1. Introduction2. SOA & Agents Technology3. Architecture4. Programming Model5. Communications: FIPA6. SOA & WSANs7. SOA-Agents-WSANs: APPA8. Conclusions / Future Work

1. Introduction2. SOA & Agents Technology3. Architecture4. Programming Model5. Communications: FIPA6. SOA & WSANs7. SOA-Agents-WSANs: APPA8. Conclusions / Future Work

awSOA: AgentsawSOA: Agents--Based SOA for Wireless Sensor & Actor NetworksBased SOA for Wireless Sensor & Actor Networks

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1. Introduction1. Introduction1. Introduction1. Introduction 1. Introduction 2. SOA & Agents 3. Architecture 4. Prog. Model 5. Communi2. SOA & Agents 3. Architecture 4. Prog. Model 5. Communications (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions cations (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions


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1. Introduction1. Introduction1. Introduction

1.1 The Internet of Things (IoT)

1.2 SOA (Service-Oriented Architecture)

1.3 WSANs (Wireless Sensor & Actor Networks)

1.4 Agents

1.1 The Internet of Things (IoT)

1.2 SOA (Service-Oriented Architecture)

1.3 WSANs (Wireless Sensor & Actor Networks)

1.4 Agents


1. Introduction 1. Introduction 2. SOA & Agents 3. Architecture 4. Prog. Model 5. Communi2. SOA & Agents 3. Architecture 4. Prog. Model 5. Communications (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions cations (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions

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1.1 The Internet of Things (IoT)1.1 The Internet of Things (IoT)1.1 The Internet of Things (IoT)

“self-configuring wireless network of sensorswhich purpose would be to interconnect all things”

“self-configuring wireless network of sensorswhich purpose would be to interconnect all things”



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1.2 SOA (Service-Oriented Architecure)1.2 SOA1.2 SOA (Service(Service--Oriented Architecure)Oriented Architecure)

SOA“a paradigm for organizing and utilizing distributed

capabilities that may be under the control of different ownership domains.[...] It provides a uniform means to offer, discover, interact with and use capabilities to produce desired effects consistent with measurable preconditions and expectations.”

- OASIS (Organization for the Advancement of Structured Information Standard)

SOA“a paradigm for organizing and utilizing distributed

capabilities that may be under the control of different ownership domains.[...] It provides a uniform means to offer, discover, interact with and use capabilities to produce desired effects consistent with measurable preconditions and expectations.”

- OASIS (Organization for the Advancement of Structured Information Standard)



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1.2 SOA (Service-Oriented Architecure)1.2 SOA1.2 SOA (Service(Service--Oriented Architecure)Oriented Architecure)

SOA Principles01. Service contract (standardized)02. Service loose coupling03. Service abstraction04. Service reusability05. Service autonomy06. Service statelessness07. Service discoverability08. Service composability09. Service optimization10. Service relevance11. Service encapsulation

SOA Principles01. Service contract (standardized)02. Service loose coupling03. Service abstraction04. Service reusability05. Service autonomy06. Service statelessness07. Service discoverability08. Service composability09. Service optimization10. Service relevance11. Service encapsulation



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1.3 WSANs (Wireless Sensor & Actor Networks)1.3 WSANs 1.3 WSANs (Wireless Sensor & Actor Networks)(Wireless Sensor & Actor Networks)

WSANs: group of sensors and actors linked by a wireless medium to perform distributed sensing and actuation tasks.

Sensors: gather information about the physical world.

Actors: take decisions and then perform appropriate actions upon the environment.

Main issue: resource-limited (CPU, mem, battery, etc.)

Goal: remote, automated interaction with the environment.

WSANs: group of sensors and actors linked by a wireless medium to perform distributed sensing and actuation tasks.

Sensors: gather information about the physical world.

Actors: take decisions and then perform appropriate actions upon the environment.

Main issue: resource-limited (CPU, mem, battery, etc.)

Goal: remote, automated interaction with the environment.



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1.4 Agents1.4 Agents1.4 Agents

Intelligent Agent (IA):

“Autonomous entity which observes and acts upon an environment and directs its activity (i.e. by learning or using knowledge) towards achieving goals.”

Intelligent Agent (IA):

“Autonomous entity which observes and acts upon an environment and directs its activity (i.e. by learning or using knowledge) towards achieving goals.”



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2. SOA & Agents2. SOA & Agents2. SOA & Agents..


1. Introduction 1. Introduction 2. SOA & Agents2. SOA & Agents 3. Architecture 4. Prog. Model 5. Communications (FIPA) 3. Architecture 4. Prog. Model 5. Communications (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions 6. SOA & WSANs 7. APPA 8. Conclusions

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2. SOA & Agents2. SOA & Agents2. SOA & Agents

2.1 Business Approaches

2.2 The Evolution of Programming

2.3 Characteristics of Agents (IT)

2.4 How Can Agents Help?

2.5 Extending SOA to be resource oriented

2.1 Business Approaches

2.2 The Evolution of Programming

2.3 Characteristics of Agents (IT)

2.4 How Can Agents Help?

2.5 Extending SOA to be resource oriented



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2.1 Business Approaches2.1 Business Approaches2.1 Business Approaches

Business Approaches

centralized: top-down / hierarchicaldistributed: peer-to-peer

AdaptationFlexibilityAgents-based SOA standards:

SoaML / OASIS’ Reference ArchitectureScalability, functionality distribution, etc.

Business Approaches

centralized: top-down / hierarchicaldistributed: peer-to-peer

AdaptationFlexibilityAgents-based SOA standards:

SoaML / OASIS’ Reference ArchitectureScalability, functionality distribution, etc.



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2.2 The Evolution of Programming2.2 The Evolution of Programming2.2 The Evolution of Programming



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2.3 Characteristics of Agents (IT)2.3 Characteristics of Agents (IT)2.3 Characteristics of Agents (IT)

Characteristics of Agents for IT Systems

autonomous: capable of acting without direct external intervention.

interactive: communicates with the environment and other agents.

adaptative: capable of responding to other agents and/or its environment.

Characteristics of Agents for IT Systems

autonomous: capable of acting without direct external intervention.

interactive: communicates with the environment and other agents.

adaptative: capable of responding to other agents and/or its environment.



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2.4 How Can Agents Help?2.4 How Can Agents Help?2.4 How Can Agents Help?



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2.5 Extending SOA to be resource oriented2.5 Extending SOA 2.5 Extending SOA to be resource orientedto be resource oriented

Types of agents used to gain distributed controlProcess-based agents: have the knowledge of how a service can combine resources and create products as part of a workflow in a supply chain.

Resource-based agents: manage the capacity-constrained resources of the systems, such as people, vehicles, tools, machinery, materials, and facilities.

Types of agents used to gain distributed controlProcess-based agents: have the knowledge of how a service can combine resources and create products as part of a workflow in a supply chain.

Resource-based agents: manage the capacity-constrained resources of the systems, such as people, vehicles, tools, machinery, materials, and facilities.



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Managing processes and resources using agentsManaging processes and resources using agents



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Using agent-oriented software dynamic resource scheduling can be developed using:

COTS and COTS-adapted components (e.g., resources, work center, parts, tasks/operation, and jobs) required for the scheduling application.Protocols (interactions/constraints between components) using a standardized representation language called an Agent Interaction Protocol (AIP).Rules/Policies that define the order of interactions and the content of an interaction based on a user-defined scheduling algorithm.

Using agent-oriented software dynamic resource scheduling can be developed using:

COTS and COTS-adapted components (e.g., resources, work center, parts, tasks/operation, and jobs) required for the scheduling application.Protocols (interactions/constraints between components) using a standardized representation language called an Agent Interaction Protocol (AIP).Rules/Policies that define the order of interactions and the content of an interaction based on a user-defined scheduling algorithm.



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3. Architecture3. Architecture3. Architecture


1. Introduction 2. SOA & Agents 1. Introduction 2. SOA & Agents 3. Architecture3. Architecture 4. Prog. Model 5. Communications (FIPA) 6. SOA & WSANs 4. Prog. Model 5. Communications (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions 7. APPA 8. Conclusions

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3. Architecture3. Architecture3. Architecture

3.1 An Agent-Based Service Oriented Architecture (A.Poggi et al.)

3.2 Service Oriented Architecture for Business Dynamics: An Agent-based Approach (A. Sharma, et al.)

3.3 FUSION@: A SOA-Based Multi-Agent Architecture (D.I.Tapia, et al.)

3.1 An Agent-Based Service Oriented Architecture (A.Poggi et al.)

3.2 Service Oriented Architecture for Business Dynamics: An Agent-based Approach (A. Sharma, et al.)

3.3 FUSION@: A SOA-Based Multi-Agent Architecture (D.I.Tapia, et al.)



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3.1 An Agent-Based SOA3.1 An Agent3.1 An Agent--Based SOABased SOA

Integrate agents with: workflows, rule engines, Web 2.0 & WS.Ontologies support for:

efficient discovery of WS WS interfaces: semantically notated

interoperability of heterogeneous WS agents communicate in a semantic way

Actors: service providers, business process manager & users

Agents: service providers, personal assistants &middle agents (e.g. service brokers, user profile managers, workflow managers, etc).

Integrate agents with: workflows, rule engines, Web 2.0 & WS.Ontologies support for:

efficient discovery of WS WS interfaces: semantically notated

interoperability of heterogeneous WS agents communicate in a semantic way

Actors: service providers, business process manager & users

Agents: service providers, personal assistants &middle agents (e.g. service brokers, user profile managers, workflow managers, etc).



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MASE (Multi-Agent Service Environment)

Agents:

Component managers

Workflow managers

MASE (Multi-Agent Service Environment)

Agents:

Component managers

Workflow managers



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MASE (Multi-Agent Service Environment)Agents

Component managers: Associated to one or more WS.Responsible for interacting / invoking WS.WSIG JADE add-on: ACL messages WSDL“On the fly” definition of WS features (price, etc.)...through a set of business rules managed by a rule engine...modifiable by the operators of the service provider through a Web interface


Component managers: Associated to one or more WS.Responsible for interacting / invoking WS.WSIG JADE add-on: ACL messages WSDL“On the fly” definition of WS features (price, etc.)...through a set of business rules managed by a rule engine...modifiable by the operators of the service provider through a Web interface



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Workflow managers: Building the workflowsComposing external WSMonitoring execution of WS 2 alternative automatic procedures:– Predefined workflow: extracting it from a repository– Dynamic workflow: composing atomic services


Workflow managers: Building the workflowsComposing external WSMonitoring execution of WS 2 alternative automatic procedures:– Predefined workflow: extracting it from a repository– Dynamic workflow: composing atomic services



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3.2. SOA: An Agent-based Approach3.2. SOA: An Agent3.2. SOA: An Agent--based Approachbased Approach



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3.3 FUSION@: A SOA-Based Multi-Agent Architecture 3.3 FUSION@: A SOA3.3 FUSION@: A SOA--Based MultiBased Multi--Agent Architecture Agent Architecture

..



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Applications: all the programs that can be used to exploit the system functionalities.

Agents Platform: core; set of agents.

Agents: controllers/administrators of:services, applications, communication, performance, reasoning & decision-making.

Services: local, WS, stand alone.

Communication Protocol: SOAP / ACL

Applications: all the programs that can be used to exploit the system functionalities.

Agents Platform: core; set of agents.

Agents: controllers/administrators of:services, applications, communication, performance, reasoning & decision-making.

Services: local, WS, stand alone.

Communication Protocol: SOAP / ACL



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CommApp Agent: communications apps platform

CommServ Agent: communications services platform

Directory Agent: manages the list of services

Supervisor Agent: supervises correct functioning of all agents

Security Agent: analyzes structure/syntax of all incoming and outgoing messages

Manager Agent: decides which agent must be called (based on QoS / user’s preferences)

Interface Agent: embedded in users’ applications

CommApp Agent: communications apps platform

CommServ Agent: communications services platform

Directory Agent: manages the list of services

Supervisor Agent: supervises correct functioning of all agents

Security Agent: analyzes structure/syntax of all incoming and outgoing messages

Manager Agent: decides which agent must be called (based on QoS / user’s preferences)

Interface Agent: embedded in users’ applications



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4. Programming Model4. Programming Model4. Programming Model


1. Introduction 2. SOA & Agents 3. Architecture 1. Introduction 2. SOA & Agents 3. Architecture 4. Prog. Model4. Prog. Model 5. Communications (FIPA) 6. SOA & WSANs 7. APPA 8. Conc5. Communications (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions lusions

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4. Programming Model4. Programming Model4. Programming Model

4.1 Intro: SOA Programming Models

4.2 A&A (Agents & Artifacts)

4.3 simpA-WS

4.4 CArtAgO-WS

4.1 Intro: SOA Programming Models

4.2 A&A (Agents & Artifacts)

4.3 simpA-WS

4.4 CArtAgO-WS



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4.1 Intro: SOA Programming Models (PMs)4.1 Intro: SOA Programming Models (PMs)4.1 Intro: SOA Programming Models (PMs)

SOA: not committed to any specific PM Most extended: component-basedProblem: does not deal well with:

autonomyloose couplingstrong encapsulationmessage-based interactions

Solution: agent-oriented approachNote: the notion of ‘agent’ already appears in:

W3C’s description of WS reference architectureHigh level characterisation of SOA

SOA: not committed to any specific PM Most extended: component-basedProblem: does not deal well with:

autonomyloose couplingstrong encapsulationmessage-based interactions

Solution: agent-oriented approachNote: the notion of ‘agent’ already appears in:

W3C’s description of WS reference architectureHigh level characterisation of SOA



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4.2 A&A (Agents & Artifacts) 4.2 A&A (Agents & Artifacts) 4.2 A&A (Agents & Artifacts)

A&A (Agents & Artifacts): conceptual model, oriented tosoftware engineering (more than AI).

Goal: adopts agents & artifacts as high-level abstractions to design and build distributed/concurrent software systems

Key idea: systems are composed by individual autonomous entities which pro-actively carry on some kind of work (individual/cooperative) typically through interaction and coordination with other entities in an environment containing the necessary artifacts (tools, resources, objects, etc.)

A&A (Agents & Artifacts): conceptual model, oriented tosoftware engineering (more than AI).

Goal: adopts agents & artifacts as high-level abstractions to design and build distributed/concurrent software systems

Key idea: systems are composed by individual autonomous entities which pro-actively carry on some kind of work (individual/cooperative) typically through interaction and coordination with other entities in an environment containing the necessary artifacts (tools, resources, objects, etc.)



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4.3 simpA-WS4.3 simpA4.3 simpA--WSWS

simpA-WS:

Technology: Java-based

Goal: building WS-I SOA/WS compliant applications

Foundation:simpA: agent-oriented extension of Java to support A&AA&A: conceptual model

simpA-WS:

Technology: Java-based

Goal: building WS-I SOA/WS compliant applications

Foundation:simpA: agent-oriented extension of Java to support A&AA&A: conceptual model



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4.4 CArtAgO-WS4.4 CArtAgO4.4 CArtAgO--WSWS

CArtAgO-WS (Common ARtifact infrastructure for Agent Open environment and Web Services).

CArtAgO: platform / infrastructure used to develop & executethe computational worlds where agents live.

CArtAgO: supports multiple technologies to program & execute agents:

– Jason: based on AgentSpeak PL (based on BDI*) intelligent/cognitive agents.

– simpA: activity-oriented agents.– Jadex: based on BDI*

* BDI: Belief-Desire-Intention

CArtAgO-WS (Common ARtifact infrastructure for Agent Open environment and Web Services).

CArtAgO: platform / infrastructure used to develop & executethe computational worlds where agents live.

CArtAgO: supports multiple technologies to program & execute agents:

– Jason: based on AgentSpeak PL (based on BDI*) intelligent/cognitive agents.

– simpA: activity-oriented agents.– Jadex: based on BDI*

* BDI: Belief-Desire-Intention



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5. Communications: FIPA5. Communications: FIPA5. Communications: FIPA


1. Introduction 2. SOA & Agents 3. Architecture 4. Prog.1. Introduction 2. SOA & Agents 3. Architecture 4. Prog. Model Model 5. Communications (FIPA)5. Communications (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions 6. SOA & WSANs 7. APPA 8. Conclusions

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5. Communications: FIPA5. Communications: FIPA5. Communications: FIPA

Agents: intelligent sw entities that can act semantically for interoperation with other agents in MAS

FIPA ACL: communication language

FIPA SL: semantic language

WSMO: semantic language (grid services)

Goal: interoperability between FIPA agents and grid services communication framework

Agents: intelligent sw entities that can act semantically for interoperation with other agents in MAS

FIPA ACL: communication language

FIPA SL: semantic language

WSMO: semantic language (grid services)

Goal: interoperability between FIPA agents and grid services communication framework


1. Introduction 2. SOA & Agents 3. Architecture 4. Prog.1. Introduction 2. SOA & Agents 3. Architecture 4. Prog. Model Model 5. Communications (FIPA)5. Communications (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions 6. SOA & WSANs 7. APPA 8. Conclusions

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6. SOA & WSANs6. SOA & WSANs6. SOA & WSANs


1. Introduction 2. SOA & Agents 3. Architecture 4. Prog.1. Introduction 2. SOA & Agents 3. Architecture 4. Prog. Model 5. Communications (FIPA) Model 5. Communications (FIPA) 6. SOA & WSANs6. SOA & WSANs 7. APPA 8. Conclusions 7. APPA 8. Conclusions

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6. SOA & WSANs6. SOA & WSANs6. SOA & WSANs

SOA: cannot be applied directly to WSANs(web services Vs embedded services)

Middleware:

e-SOAUSEME

SOA: cannot be applied directly to WSANs(web services Vs embedded services)

Middleware:

e-SOAUSEME


1. Introduction 2. SOA & Agents 3. Architecture 4. Prog.1. Introduction 2. SOA & Agents 3. Architecture 4. Prog. Model 5. Communications (FIPA) Model 5. Communications (FIPA) 6. SOA & WSANs6. SOA & WSANs 7. APPA 8. Conclusions 7. APPA 8. Conclusions

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7. SOA-Agents-WSANs: APPA7. 7. SOASOA--AgentsAgents--WSANs: APPAWSANs: APPA


1. Introduction 2. SOA & Agents 3. Architecture 4. Prog.1. Introduction 2. SOA & Agents 3. Architecture 4. Prog. Model 5. Communications (FIPA) 6. SOA & WSANs Model 5. Communications (FIPA) 6. SOA & WSANs 7. APPA7. APPA 8. Conclusions 8. Conclusions

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7. SOA-Agents-WSANs: APPA7. 7. SOASOA--AgentsAgents--WSANs: APPAWSANs: APPAAPPA: Adaptive Peer-to-Peer Agent ArchitectureLockheed Martin Advanced Technology Laboratories

Combines the benefits of:adaptive peer-to-peer architecturesagent-based architecturesservice-oriented architectures

Addresses: survivabilityrobustnessperformanceflexibilityscalabilitysupport of federated services

Tareget infraestructure: Sensor networks

APPA: Adaptive Peer-to-Peer Agent ArchitectureLockheed Martin Advanced Technology Laboratories

Combines the benefits of:adaptive peer-to-peer architecturesagent-based architecturesservice-oriented architectures

Addresses: survivabilityrobustnessperformanceflexibilityscalabilitysupport of federated services

Tareget infraestructure: Sensor networks



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7. SOA-Agents-WSANs: APPA7. 7. SOASOA--AgentsAgents--WSANs: APPAWSANs: APPA

Agent capabilities:Ad-hoc Peer-to-Peer FrameworkAgent Service Wrappers for SensorsComposable Agent FrameworkPeer-to-Peer DiscoveryAgent CollaborationMobile and Proxy Agents

Agent capabilities:Ad-hoc Peer-to-Peer FrameworkAgent Service Wrappers for SensorsComposable Agent FrameworkPeer-to-Peer DiscoveryAgent CollaborationMobile and Proxy Agents



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8. Conclusions / Future Work8. Conclusions / Future Work8. Conclusions / Future Work


1. Introduction 2. SOA & Agents 3. Architecture 4. Prog.1. Introduction 2. SOA & Agents 3. Architecture 4. Prog. Model 5. Communications (FIPA) 6. SOA & WSANs 7. APPA Model 5. Communications (FIPA) 6. SOA & WSANs 7. APPA 8. Conclusions8. Conclusions

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References

01. Agents Technology and SOA

02. Poggi A., Tomaiuolo M., Turci P. An Agent-Based Service Oriented Architecture (2006)

03. Tapia, D.I., Bajo, J., Corchado, J.M. Distributing Functionalities in a SOA-Based Multi-agent Architecture (2009)

04. Tapia, D.I., Alonso, R.S., Zato, C. Analysis and Design of a SOA-Based Multi-agent Architecture (2010)

05. Tapia, D.I., Rodríguez, S., Bajo, J., Corchado, J.A. FUSION@, A SOA-Based Multi-Agent Architecture (2008)

06. Rishi, O.P., Sharma, A., Bhatnagar, A., Gupta, A. Service Oriented Architecture for Business Dynamics - An Agent-based Approach (2008)

07. Ricci, A., Buda, C., Zaghini, C. An Agent-Oriented Programming Model for SOA & Web Services (2006)

08. Ricci, A., Buda, C., Zaghini, C. simpA-WS: An Agent-Oriented Computing Technology for WS-based SOA Applications (2006)

09. Piunti, M., Ricci, A., Santi, A. SOA/WS Applications using Cognitive Agents working in CArtAgO Environments (2009)

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References

10. Balfagih, Z., Hassan, M.F.B. Agent based Monitoring Framework for SOA Applications Quality (2009)

11. Odell, J. Agent-based Process Management for SOA and WS Applications

12. Micsik, A., Karaenke, P. Agent-supported Flexible Service Provisioning Using Semantics(2009)

13. K. Ishak, B. Archimede, P. Charbonnaud. Integration of SOA and Ontologies in a Multi-Agent Model. MOSIM 10 (2010)

14. Ignatiadis, I., Svirskas, A., Vokřínek, J., Briggs, J. Towards Combining SOA, Web2.0 and Intelligent Agents in Virtual Organizations. EMCIS 2008 (2008)

15. Min Je Cho, Hyung Rim Choi. A Study on SOA Based Multi Agent under RTE Environment. ACS'08 (2008)

16. M. Atif Nazir Raja, H. Farooq Ahmad. SOA Compliant FIPA Agent Communication Language (2008)

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References

17. Ray-Yuan Sheu, Czajkowski, M., Hofmann, M. Adaptive Peer-to-Peer Agent Sensor Networks (2006)

18. N. Jabeur, P.A. Graniero. Agent-Based Clusters to Virtually Manage Spatially Distributed Sensors (2007)

19. Razavi, R., Mechitov, K., Agha., G. Perrot, J.F. Dynamic Macroprogramming of Wireless Sensor Networks with Mobile Agents (2006)

20. Cañete, E., Chen, J., Diaz, M., Llopis, L., Rubio, B. A Service-Oriented Middleware for Wireless Sensor and Actor Networks (2008)

21. Cañete, E., Diaz, M., Llopis, L., Rubio, B. A Service-Oriented Programming Model for Real Time WSANS (2007)

22. Cañete, E., Chen, J., Diaz, M., Llopis, L., Rubio, B. USEME: A Service-Oriented Framework for Wireless Sensor and Actor Networks (2007)

23. Martin-Checa, J.A. eSOA: A Contextual Analysis on Service Oriented Architecture forEmbedded Networks (2010)

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You might be thinking...You might be thinking...You might be thinking...

Now you can impress your friends talking about awSOA ...please, ask!

Now you can impress your friends talking about awSOA ...please, ask!


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“By learning you will teach, by teaching

you will learn.”

“You see things; and you say, 'Why?' But I dream things that never were; and I say, ‘Why not?’”

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“By learning you will teach, by teaching

you will learn.”- Latin Proverb

“You see things; and you say, 'Why?' But I dream things that never were; and I say, ‘Why not?’”

- George Bernard Shaw

awSOA:Agents-based SOA for

Wireless Sensor & Actor Networks(Multi-Agents Systems Programming)

Master in Software Engineering & Artificial Intelligence

awawSOA:SOA:AgentsAgents--based SOA forbased SOA for

Wireless Sensor & Actor NetworksWireless Sensor & Actor Networks(Multi(Multi--Agents Systems Programming)Agents Systems Programming)

Master in Software Engineering & Artificial IntelligenceMaster in Software Engineering & Artificial Intelligence



2011



2011

awSOA: Agents-based SOA for Wireless Sensor & Actor Networks

Technology

soa wsans

soa agents technology

soa agents2

communications fipa

service encapsulationawsoa

service contract

service abstraction

service reusability