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Currently, SystemC is used to model the hardware and software parts of a system at the high level.
Our work differs because it targets embedded system domain and allows to model the hardware to tailor platforms to the real needs.
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The sensor node model includes the hardware and software abstraction and node behavior modeling (e.g., mobility).
This paper presents the theory of the Multi-scroll chaotic attractor based on the Jerk model, designs the hardware circuit, and respectively gives the circuit simulation of the EWB and the numerical simulation of the MATLAB.
The performance model of the hardware implementation is straightforward since the number of steps of the FSM is fully specified.
The rest of the paper is organized as follows: In Section 2, we introduce the system model and the hardware imperfections.
The chapter also discusses the basics of networking, Ethernet, the Open Systems Interconnection (OSI) model and the hardware that is used in network architecture.
This chapter discusses the basics of networking, Ethernet, the OSI model, and the hardware that is used in network architecture and a variety of methods used to protect data from eavesdropping by sniffers.
For real problems this mapping can be a non-trivial problem requiring careful consideration of the constraints in both the system being modelled and the hardware that executes that model.
The questionnaire asks for basic information about the size of typical training sets, the time models typically take to train, your favored platforms for training models and the hardware you regularly use.
Therefore, it is necessary to accurately predict the energy consumption of WSN, which requires detailed models of the hardware and software (HW/SW) of sensor nodes.
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