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PhD Thesis: A Web of Things Application Architecture

PhD Thesis: A Web of Things Application Architecture

Good PhD Thesis: A Web of Things Application Architecture

Research Area:  Web Technology

Abstract:

   The Internet is a compelling example of a scalable global network of computers that interoperate across heterogeneous hardware and software platforms. On top of the Internet, the Web illustrates well how a set of relatively simple and open standards can be used to build very flexible systems while preserving efficiency and scalability. The cross-integration and developments of composite applications on the Web, alongside with its ubiquitous availability across a broad range of devices (e.g., desktops, laptops, mobile phones, set-top boxes, gaming devices, etc.), make the Web an outstanding candidate for a universal integration platform. Web sites do not offer only pages anymore, but Application Programming Interfaces that can be used by other Web resources to create new, ad-hoc and composite applications running in the computing cloud and being accessed by desktops or mobile computers.
   In this thesis we use the Web and its emerging technologies as the basis of a smart things application integration platform. In particular, we propose a Web of Things application architecture offering four layers that simplify the development of applications involving smart things. First, we address device accessibility and propose implementing, on smart things, the architectural principles that are at the heart of the Web such the Representational State Transfer (REST). We extend the REST architecture by proposing and implementing a number of improvements to fit the special requirements of the physical world such as the need for domain-specific proxies or real-time communication.
   In the second layer we study findability: In a Web populated by billions of smart things, how can we identify the devices we can interact with, the devices that provide the right service for our application? To address these issues we propose a lightweight metadata format that search engines can understand, together with a Web-oriented discovery and lookup infrastructure that leverages the particular context of smart things.
   While the Web of Things fosters a rather open network of physical objects, it is very unlikely that in the future access to smart things will be open to anyone. In the third layer we propose a sharing infrastructure that leverages social graphs encapsulated by social networks. We demonstrate how this helps sharing smart things in a straightforward, user-friendly and personal manner, building a Social Web of Things.
   Our primary goal in bringing smart things to the Web is to facilitate their integration into composite applications. Just as Web developers and tech-savvies create Web 2.0 mashups (i.e., lightweight, ad-hoc compositions of several services on the Web), they should be able to create applications involving smart things with similar ease. Thus, in the composition layer we introduce the physical mashups and propose a software platform, built as an extension of an open-source workflow engine, that offers basic constructs which can be used to build mashup editors for the Web of Things.
   Finally, to test our architecture and the proposed tools, we apply them to two types of smart things. First we look at wireless sensor networks, in particular at energy and environmental monitoring sensor nodes. Then, to better understand and evaluate how the Web of Things architecture can facilitate the development of real-world aware business applications, we study automatic identification.

Name of the Researcher:  Dominique Guinard

Name of the Supervisor(s):  Friedemann Mattern

Year of Completion:  2011

University:  University of Fribourg

Thesis Link:   Home Page Url