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Process-Based WSN App Design
- 1. Process-Based Design and Integration of Wireless Sensor Network Applications Stefano Tranquillini, Patrik Spieß, Florian Daniel, Stamatis Karnouskos, Fabio Casati, Nina Oertel, Luca Mottola, Felix Jonathan Oppermann, Gian Pietro Picco, Kay Römer, and Thiemo Voigt BPM 2012 - September 4, 2012, Tallinn, Estonia (Europe)
- 2. The aim is.. To ease the programming of Wireless Sensor Network (WSN) applications, leveraging on the intrinsic process based nature
- 3. Wireless Sensor Networks Sensors & Actuators CO2 Ventilation
- 4. Wireless Sensor Networks Sensors & Actuators Temp CO2 Few to many Ventilation Presence
- 5. Wireless Sensor Networks Sensors & Actuators Temp CO2 Few to many Ventilation Collaboration Presence Gateway
- 6. Wireless Sensor Networks Sensors & Actuators Room: MOON Temp CO2 Few to many Ventilation Collaboration Distributed Presence Gateway
- 7. Wireless Sensor Networks Sensors & Actuators Room: MOON Temp CO2 Few to many Ventilation Collaboration Distributed Presence Gateway WSNs are stand-alone systems, coded by highly skilled programmers
- 8. Scenario -+ + Booking APRIL '12 04 '12 Secretary © "G raph itec h" Convention Center Building Convention Center Information System
- 9. Scenario Room: MARS Presence Temp Ventilation CO2 Humidity Room: MOON Temp CO2 Ventilation Presence -+ + Booking APRIL '12 04 '12 Secretary © "G raph itec h" Convention Center Building Convention Center Information System
- 10. Scenario Room: MARS Presence Temp Ventilation CO2 Humidity Room: MOON Temp CO2 Ventilation Presence -+ + Process engine Booking APRIL '12 04 '12 Secretary © "G raph itec h" Convention Center Building Convention Center Information System
- 11. Scenario Room: MARS Temp Presence -+ + Ventilation -+ + CO2 Reporting Humidity Management Room: MOON Temp CO2 Ventilation Presence -+ + Process engine Booking APRIL '12 04 '12 Secretary © "G raph itec h" Convention Center Building Convention Center Information System
- 12. Scenario Room: MARS Temp Presence -+ + Ventilation -+ + CO2 Reporting Humidity Management Room: MOON Temp CO2 Ventilation Presence -+ + Process engine Booking APRIL '12 04 '12 Secretary © "G raph itec h" Convention Center Building Convention Center Information System
- 13. Scenario Room: MARS Temp Presence -+ + Ventilation -+ + CO2 Reporting to develop the BP logic running inside the BP engine Humidity Management Room: MOON Temp CO2 Ventilation Presence -+ + Process engine Booking APRIL '12 04 '12 Secretary © "G raph itec h" Convention Center Building Convention Center Information System
- 14. Scenario Room: MARS Temp Presence -+ + Ventilation -+ + CO2 Reporting to develop the BP logic running inside the BP engine Humidity Management Room: MOON Temp CO2 Ventilation to develop the code running on the nodes inside the WSN Presence -+ + Process engine Booking APRIL '12 04 '12 Secretary © "G raph itec h" Convention Center Building Convention Center Information System
- 15. Scenario Room: MARS Temp Presence -+ + Ventilation -+ + CO2 Reporting to develop the BP logic running inside the BP engine Humidity Management Room: MOON Temp CO2 Ventilation to develop the code running on the nodes inside the WSN Presence -+ + enable the communication between the BP andBooking WSN Process engine APRIL '12 04 '12 Secretary © "G raph itec h" Convention Center Building Convention Center Information System
- 16. Related Work
- 17. Related Work Expose sensors as web services Cobis Socrades
- 18. Related Work Expose sensors as web services Orchestrate sensor web services GWELS Cobis Amundson et al. Socrades Guinard et al.
- 19. Related Work Expose sensors as web services Orchestrate sensor web services GWELS Cobis Amundson et al. Socrades Guinard et al. Sperner & Meyer (Iot-A) Extend process language for sensors
- 20. Related Work Expose sensors as web services Orchestrate sensor web services GWELS Cobis Amundson et al. Socrades Guinard et al. Sperner & Meyer (Iot-A) Caracas et al. Extend process language for sensors Process based code generation
- 21. Our idea To develop a business process modeling notation that allows the integrated development of both the BP and the WSN logic
- 22. Requirements
- 23. Requirements Modeling Model WSN topology and capabilities Abstract WSN operations into high-level modeling constructs Express WSN and BP logic and optimization objectives Provide a dedicated modeling environment
- 24. Requirements Modeling Model WSN topology and capabilities Abstract WSN operations into high-level modeling constructs Express WSN and BP logic and optimization objectives Provide a dedicated modeling environment Deployment Generate binary code for WSN and endpoints for the communication Automatically deploy the process logic over the WSN and the BP engine
- 25. Requirements Modeling Model WSN topology and capabilities Abstract WSN operations into high-level modeling constructs Express WSN and BP logic and optimization objectives Provide a dedicated modeling environment Deployment Generate binary code for WSN and endpoints for the communication Automatically deploy the process logic over the WSN and the BP engine Runtime Support the execution of the business process and of the WSN
- 26. Architecture: Modeling Application Process and WSN System Logic compositions developer developer BPMN4WSN editor WSN Logic Process Composition System description Design time
- 27. Architecture: Modeling Application Process and WSN System Logic compositions developer developer BPMN4WSN editor WSN Logic Process Composition System description Design time
- 28. Architecture: Modeling Application Process and WSN System Logic compositions developer developer BPMN4WSN editor WSN Logic Process Composition System description Design time
- 29. Architecture: Modeling Application Process and WSN System Logic compositions developer developer BPMN4WSN editor WSN Logic Process Composition System description Design time
- 31. WSN Conceptual Model Node
- 32. WSN Conceptual Model WSN Has Node Operation
- 33. WSN Conceptual Model WSN Has Node Operation Represents WSN Task
- 34. WSN Conceptual Model WSN Has Node Operation Represents WSN Task Sense Actuate Aggregate
- 35. WSN Conceptual Model WSN Has Node Operation Represents WSN Task Sense Actuate Aggregate instance of instance of instance of CO2 Ventilation AVG
- 36. WSN Conceptual Model WSN Has Node Operation Represents Has WSN EoI Task Location Thing Sense Actuate Aggregate instance of instance of instance of CO2 Ventilation AVG
- 37. WSN Conceptual Model WSN Has Node Operation Represents Covered by BPMN4WSN Has WSN EoI Task Location Thing Sense Actuate Aggregate instance of instance of instance of CO2 Ventilation AVG
- 38. WSN Conceptual Model WSN Has Node Operation Represents Covered by BPMN4WSN Has WSN WSN EoI Logic construct Task Location Thing Sense Actuate Aggregate instance of instance of instance of CO2 Ventilation AVG
- 39. WSN Conceptual Model WSN Has Node Operation Represents Covered by BPMN4WSN Has WSN WSN EoI Logic construct Task Location Thing Sense Actuate Aggregate Tell Report Collect Local instance of instance of instance of CO2 Ventilation AVG collective action local action tell action report action
- 40. WSN Conceptual Model WSN Has Node Operation Represents Covered by BPMN4WSN Has WSN WSN EoI Logic construct Task Location Thing Sense Actuate Aggregate Tell Report Collect Local instance of instance of instance of CO2 Ventilation AVG
- 41. WSN Conceptual Model WSN Has Node Operation Represents Has target Covered by BPMN4WSN Has WSN WSN EoI Logic construct Task Location Thing Sense Actuate Aggregate Tell Report Collect Local instance of instance of instance of CO2 Ventilation AVG
- 42. WSN Conceptual Model WSN Has Node Operation Represents Has target Covered by BPMN4WSN WSN logic composition Has WSN WSN EoI Logic construct Task Location Thing Sense Actuate Aggregate Tell Report Collect Local instance of instance of instance of CO2 Ventilation AVG
- 44. Modeling: BPMN4WSN WSN Aware Intra WSN
- 45. Modeling: BPMN4WSN WSN Aware Intra WSN Read CO2 Room: Moon
- 46. Modeling: BPMN4WSN WSN Aware Intra WSN Read CO2 Room: Moon
- 47. Modeling: BPMN4WSN WSN Aware Performance Intra WSN Read CO2 Room: Moon
- 48. Modeling: WSN logic composition Read CO2 Room: Moon
- 49. Modeling: WSN logic composition Read CO2 Room: Moon tell action report action collective action
- 50. Modeling: WSN logic composition Read CO2 Room: Moon tell action report action collective action
- 51. Modeling: WSN logic composition Read CO2 Room: Moon report action
- 52. Modeling: WSN logic composition Read CO2 Room: Moon report action
- 53. Modeling: WSN logic composition Read CO2 Room: Moon local action Read CO2 report action
- 54. Modeling: WSN logic composition Report: Stream Read CO2 Room: Moon local action Local: Read CO2 Read CO2 report action
- 55. Modeling: editor Extension of signavio core components http://code.google.com/p/signavio-core-components/
- 56. Modeling: Pools
- 59. Modeling: WSN logic composition
- 60. Modeling: WSN logic composition
- 61. Modeling: WSN logic composition report action local action
- 64. Code Generation and Deployment
- 65. Code Generation and Deployment BPMN Engine
- 66. Code Generation and Deployment BPMN Engine Endpoints
- 67. Code Generation and Deployment BPMN Engine Endpoints Serialization
- 68. Code Generation and Deployment BPMN Engine Endpoints Serialization Transformation
- 69. Code Generation and Deployment BPMN Engine Endpoints Serialization Transformation Correlation
- 70. Code Generation and Deployment BPMN Engine Endpoints Serialization Transformation Correlation translation into code for WSN
- 71. Code Generation and Deployment example if we have time
- 72. Code Generation and Deployment Sequence Flow is the main logic of the WSN program example if we have time
- 73. Code Generation and Deployment Sequence Flow is the main logic of the WSN program Internal WSN task specification is the node logic example if we have time
- 74. Code Generation and Deployment Sequence Flow is the main logic of the WSN program Internal WSN task specification is the node logic Task EOIs are used for targeting the actions example if we have time
- 75. Code Generation and Deployment Sequence Flow is the main logic of the WSN program Internal WSN task specification is the node logic Task EOIs are used for targeting the actions Annotations specify WSN performance goal example if we have time
- 76. Code Generation and Deployment Sequence Flow is the main logic of the WSN program Internal WSN task specification is the node logic Task EOIs are used for targeting the actions Annotations specify WSN performance goal Code deployed over the WSN (gateways) example if we have time
- 77. Architecture: Deploy and Runtime BPMN4WSN Compiler WSNs Process analysis Binary code generation Binary code End point generation Application Process and WSN System Logic compositions developer developer Communication proxy BPMN4WSN editor Proxy configuration WSN Logic Process Composition System Process engine description Executable process Design time Deployment time Runtime
- 78. Future work
- 79. Future work Code efficiency and reusability
- 80. Future work Code efficiency and reusability Unified modeling notation
- 81. Future work Code efficiency and reusability Unified modeling notation Control Flow for WSN Nodes
- 82. Future work Code efficiency and reusability Unified modeling notation Control Flow for WSN Nodes Multi process deployment on WSN
- 83. Summary
- 84. Summary We propose a process-based modeling notation for the design of WSN applications
- 85. Summary We propose a process-based modeling notation for the design of WSN applications Abstract low-level WSN operations into high-level modeling constructs hiding network details
- 86. Summary We propose a process-based modeling notation for the design of WSN applications Abstract low-level WSN operations into high-level modeling constructs hiding network details Specify high-level and low-level application logic via an integrated modeling environment
- 87. Summary We propose a process-based modeling notation for the design of WSN applications Abstract low-level WSN operations into high-level modeling constructs hiding network details Specify high-level and low-level application logic via an integrated modeling environment Translation, deployment and execution of the code in the BP engine and WSN, creating the communication channels.
- 88. THANKS it’s time for questions Stefano Tranquillini tranquillini@disi.unitn.it www.project-makesense.eu