Cyber Physical Systems: Architectures, Protocols and by Chi (Harold) Liu, Yan Zhang
By Chi (Harold) Liu, Yan Zhang
Cyber actual structures: Architectures, Protocols and Applications is helping you realize the elemental ideas and key assisting criteria of CPS. It analyzes diverse CPS functions from the ground up, extracting the typical characters that shape a vertical constitution. It provides cellular sensing structures and their functions towards interrelated paradigms, highlighting and in brief discussing sorts of cellular sensing systems and the functionalities they provide. It then appears on the naming, addressing, and profile companies of CPS and proposes a middleware component of meet the necessities of dynamic purposes and sensors/actuators deployment/configurations throughout various platforms.
The heart chapters of the booklet current a context-aware sensor seek, choice, and rating version which addresses the problem of successfully picking a subset of proper sensors out of a giant set of sensors with related performance and services. The authors ponder a variety of themes within the power administration of CPS and suggest a unique energy-efficient framework. in addition they current the basic networking applied sciences of CPS and concentrate on machine-to-machine communications for CPS, in particular the open applied sciences akin to IPv6-based suggestions that may be built-in into IoT and allow instant sensor communications.
In the book's ultimate chapters, the authors carry you brand new on cellular cloud computing (MCC) learn actions that increase the functions of resource-constrained clever units in CPS sensory environments. additionally they current a couple of consultant CPS purposes, together with hooked up healthcare, gaming in public shipping crowds, and a chain of MCC-enabled rising CPS functions. you will discover that those software fields totally show the nice strength of making use of CPS in public life.
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Additional resources for Cyber Physical Systems: Architectures, Protocols and Applications
Performance Evaluation and Lessons Learned . . . . . . . . . . 1 Experimental Testbed . . . . . . . . . . . . . . . . . . 2 Stand-Alone Experimentation . . . . . . . . . . . . . . 3 Collaborative Sensing Experimentation . . . . . . . . . Open Challenges and Opportunities . . . . . . . . . . . . . . . 1 Automated Configuration . . . . . . . . . . . . . . . . 2 Unified Middleware Platform . . . . . . . . . .
We evaluate MOSDEN in both stand-alone and collaborative environments. The proof of concept is developed on the Android platform. 1 Introduction In this chapter, we present the design and implementation details of the proposed middleware solution named Mobile Sensor Data Processing Engine (MOSDEN). MOSDEN is designed to support sensing as a service model [33, 34] natively. Further, MOSDEN is a true zero programming middleware where users do not need to write program code or any other specifications using declarative languages.
We evaluate MOSDEN in both stand-alone and collaborative environments and results and lessons learned are discussed separately. 1 27 Experimental Testbed We evaluated the proposed middleware solution, MOSDEN using several different parameters such as CPU consumption, scalability, memory requirements, latency and so on. For the evaluation, we used three devices with different resource limitations. From here onwards we refer them as D1, D2, D3, D4, D5, and D6. The technical specifications of the devices are as follows.