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System-level power consumption modeling of a SoC for WSN applications

Madureira, H. M. G. (author)
De Medeiros, J. E. G. (author)
Da Costa, J. C. (author)
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Beserra, Gilmar (author)
KTH,Elektroniksystem
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 (creator_code:org_t)
2011
2011
English.
In: Proceedings - 2011 IEEE 2nd International Conference on Networked Embedded Systems for Enterprise Applications.
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Energy consumption is a critical issue for wireless sensor networks (WSN) because of the limited energy supply on the nodes. Therefore, performance evaluation is very important, especially at early stages of the design flow. In this work, we present the modeling and simulation of nodes composed by a typical system on chip (SoC) for WSN applications using SystemC/TLM. The SoC contains a MIPS-based processor, a memory, a bus, a timer, a transceiver and a battery. The model is intended to allow power estimation in WSN simulation. The battery module estimates the energy consumption of the node by computing the amount of electrical charge used by each block As a case study, we performed a star topology WSN simulation, showed the power consumption of each node, and presented a discussion about the computational load. This approach is flexible and can be adapted to simulate more complex systems and topologies.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Energy Systems (hsv//eng)

Keyword

energy consumption
SoC
SystemC
WSN
Battery modules
Computational loads
Critical issues
Design flows
Electrical charges
Energy supplies
Modeling and simulation
Performance evaluation
Power estimations
Star topology
System levels
System on chips
Computer simulation
Electric network topology
Energy utilization
Industry
Wireless sensor networks

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Madureira, H. M. ...
De Medeiros, J. ...
Da Costa, J. C.
Beserra, Gilmar
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ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Environmental En ...
and Energy Systems
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By the university
Royal Institute of Technology

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