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Exploration of tasks partitioning between hardware software and locality for a wireless camera based vision sensor node

Khursheed, Khursheed (författare)
Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013)
Imran, Muhammad (författare)
Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013)
Malik, Abdul Waheed (författare)
Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013)
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O'Nils, Mattias (författare)
Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013)
Lawal, Najeem (författare)
Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013)
Thörnberg, Benny (författare)
Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013)
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 (creator_code:org_t)
IEEE conference proceedings, 2011
2011
Engelska.
Ingår i: Proceedings - 6th International Symposium on Parallel Computing in Electrical Engineering, PARELEC 2011. - : IEEE conference proceedings. - 9780769543970 ; , s. 127-132
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • In this paper we have explored different possibilities for partitioning the tasks between hardware, software and locality for the implementation of the vision sensor node, used in wireless vision sensor network. Wireless vision sensor network is an emerging field which combines image sensor, on board computation and communication links. Compared to the traditional wireless sensor networks which operate on one dimensional data, wireless vision sensor networks operate on two dimensional data which requires higher processing power and communication bandwidth. The research focus within the field of wireless vision sensor networks have been on two different assumptions involving either sending raw data to the central base station without local processing or conducting all processing locally at the sensor node and transmitting only the final results. Our research work focus on determining an optimal point of hardware/software partitioning as well as partitioning between local and central processing, based on minimum energy consumption for vision processing operation. The lifetime of the vision sensor node is predicted by evaluating the energy requirement of the embedded platform with a combination of FPGA and micro controller for the implementation of the vision sensor node. Our results show that sending compressed images after pixel based tasks will result in a longer battery life time with reasonable hardware cost for the vision sensor node. © 2011 IEEE.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Nyckelord

Hardware/Software Partioning
Image Processing
Reconfigurable Architecture
Vision Sensor Node
Wireless Vision Sensor Networks
Battery life time
Communication bandwidth
Compressed images
Embedded platforms
Energy requirements
Hardware cost
Hardware/software partitioning
Local processing
Minimum energy
Optimal points
Partioning
Processing power
Vision processing
Vision sensors
Wireless cameras
Work Focus
Computer hardware
Electrical engineering
Energy utilization
Engineering research
Field programmable gate arrays (FPGA)
Parallel architectures
Sensors
Telecommunication equipment
Telecommunication systems
Wireless networks
Sensor nodes

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