Integration of Component Based Frame Works with Sensor Web

Integration of Component Based Frame Works with Sensor Web

Integration of Component-Based Frameworks with Sensor Modeling Languages for the Sensor Web By Kimia Kazemi Thesis submitted to the Faculty of Graduate and Postdoctoral Studies In partial fulfillment of The requirements for the degree of Master of Applied Science In The program of Electrical and Computer Engineering August 2010 © Kimia Kazemi, Oshawa, Canada 2010 I hereby declare I am the sole author of the thesis. I authorize the University of Ontario Institute of Technology to lend the thesis to other institutions or individuals for the purpose of scholarly research. Kimia Kazemi I authorize the University of Ontario Institute of Technology to reproduce the thesis by photocopying or other means, in total or in part, at the request of other institutions or individuals for the purpose of scholarly research. Kimia Kazemi i Abstract The goal of this thesis is to develop an easily modifiable sensor system. To achieve this goal SensorML (an XML based sensor language) is combined with Java Beans (a component model language). An important part of SensorML is its process model. Each sensor in the real world is depicted in SensorML by a process model, whereas the connections between the sensors are shown by a process chain. This thesis presents a translator that reads these documents and converts them to Java Beans. Through testing the Translator is proved more efficient than the convenient Object Oriented approach. Keywords: Sensor languages, SensorML, IEEE1451, sensor web, component based framework, Java Beans, Unified Modeling Language. ii The dedication of this thesis is split in four: First and foremost to my mother, father and brother who have always given me their best, second to my grandparents who have supported me, third to my country, Iran, with the hope that peace and prosperity would reign there, and last to anyone, in any country with any ethnicity and religion who never loses hope. iii ACKNOWLEGEMENTS I would like to thank my supervisor Dr. R. Liscano for his help, guidance, support and patience throughout my thesis. I want to thank Dr. M. Eklund for his observations, remarks and help. I am also thankful to Dr. A. Dersingh, and all the friends that helped throughout my research. iv Table of Contents Chapter 1 Introduction and Outline ................................................................................................. 1 1.1. Motivating Scenario ......................................................................................................... 1 1.2. Problem statement .......................................................................................................... 3 1.3. Thesis Contributions ............................................................................................................. 4 Chapter 2 Background and Related Work ....................................................................................... 7 2.1 Sensor Modeling Languages: ..................................................................................................... 7 2.1.1. SensorML: .............................................................................................................................. 8 2.1.2. IEEE 1451 .................................................................................................................... 12 2.1.2.1. IEEE1451 family of standards: ........................................................................................... 13 2.1.3. TransducerML: ..................................................................................................................... 14 2.1.4. Observations and Measurement (O&M): ............................................................................ 15 2.1.5. ECHONET (Energy Conservation and Home- care Network): ........................................ 16 2.1.6. Device Kit: ............................................................................................................................ 17 2.1.7. DDL (Device Description Language): .................................................................................... 18 2.1.8. Analysis of sensor modeling Languages: .......................................................................... 20 2.2. Component based frameworks ...................................................................................... 21 2.2.1. Java Beans: ........................................................................................................................... 21 2.2.2. Microsoft’s Component Object Model (COM) ........................................................... 24 2.3. Component-Based Modeling Framework for Sensors ....................................................... 25 2.3.1. Insense (A Component-Based Model and Language for Wireless Sensor Network Applications) .............................................................................................................................. 25 2.3.2. UM-RTCOM (A Component Framework for Wireless Sensor and Actor Networks) ........ 26 2.3.3. From a UML Platform Independent Component Model to Platform Specific Component Models ....................................................................................................................................... 27 2.3.4. V3Studio: A Component-Based Architecture Modeling Language .................................. 28 2.3.5. Building component software with COM and Eiffel ........................................................ 29 2.3.6. A Java Component Model for evolving software systems ............................................... 30 Chapter 3 A Component based design for sensor web ................................................................. 31 3.1. Overall view............................................................................................................................. 31 v 3.2. Translator design ..................................................................................................................... 31 3.2.1. main_class ........................................................................................................................ 31 3.2.2. DOMParser_pch ............................................................................................................... 32 3.2.3. DOMParser ....................................................................................................................... 34 3.2.4. createsBean ..................................................................................................................... 35 3.3. Setting up and Making Changes to the SCT sensor system ............................................... 40 3.3.1. Creating and Modifying SensorML documents and executing SCT ........................... 41 3.3.2. Adding a new sensor (WindChill ) to the system ....................................................... 49 3.4. Using the Components created by SCT .............................................................................. 54 Chapter 4 Testing and Validation ................................................................................................... 58 4.1. The SensIV system ................................................................................................................... 58 4.2. User’s effort in changing the sensor system ........................................................................... 62 4.2.1. Results for software engineers who had knowledge of SensIV but no knowledge of the SCT ....................................................................................................................................................... 63 4.2.2. Results for software engineers who had no knowledge of SensIV or the SCT .................... 64 4.2.3. Results for software engineers who had knowledge of both SensIV and the SCT. ............. 65 4.3. Evaluating the amount of code written. ................................................................................. 66 4.3.1. Multiple instances of one kind of sensor ......................................................................... 66 4.3.2. Multiple instances and multiple types of sensors ........................................................... 67 4.4. Measuring the correctness ..................................................................................................... 67 4.5.Cohesion and Coupling ............................................................................................................ 67 4.5.1. Cohesion........................................................................................................................... 67 4.5.2. Coupling ........................................................................................................................... 68 4.6. Analysing the results ............................................................................................................... 69 Chapter 5 Comparison ................................................................................................................... 72 5.1. Insense ........................................................................................................................... 72 5.2. UM-RTCOM .................................................................................................................... 73 5.4. V3studio ......................................................................................................................... 76 5.5. COM and Eiffel ..............................................................................................................

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