Architecture Exploration Based on Tasks Partitioning Between Hardware, Software and Locality for a Wireless Vision Sensor Node

Authors:
Muhammad Imran;Khursheed Khursheed;Abdul Waheed Malik;Naeem Ahmad;Mattias O'Nils;Najeem Lawal;Benny Thörnberg
Affiliations:
Mid Sweden University, Sweden;Mid Sweden University, Sweden;Mid Sweden University, Sweden;Mid Sweden University, Sweden;Mid Sweden University, Sweden;Mid Sweden University, Sweden;Mid Sweden University, Sweden
Venue:
International Journal of Distributed Systems and Technologies
Year:
2012

Citing 11
Cited 0

Dynamic power consumption in Virtex™-II FPGA family

FPGA '02 Proceedings of the 2002 ACM/SIGDA tenth international symposium on Field-programmable gate arrays
Implementing Computer Vision Algorithms in Hardware: An FPGA/VHDL-Based Vision System for a Mobile Robot

RoboCup 2001: Robot Soccer World Cup V
An Evaluation of the Suitability of FPGAs for Embedded Vision Systems

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
SensEye: a multi-tier camera sensor network

Proceedings of the 13th annual ACM international conference on Multimedia
Wireless Sensor Networks for Industrial Environments

CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
A survey on wireless multimedia sensor networks

Computer Networks: The International Journal of Computer and Telecommunications Networking
Dataflow-based mapping of computer vision algorithms onto FPGAs

EURASIP Journal on Embedded Systems
Automatic generation of spatial and temporal memory architectures for embedded video processing systems

EURASIP Journal on Embedded Systems
FireFly Mosaic: A Vision-Enabled Wireless Sensor Networking System

RTSS '07 Proceedings of the 28th IEEE International Real-Time Systems Symposium
Camera mote with a high-performance parallel processor for real-time frame-based video processing

AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Exploration of Tasks Partitioning between Hardware Software and Locality for a Wireless Camera Based Vision Sensor Node

PARELEC '11 Proceedings of the 2011 Sixth International Symposium on Parallel Computing in Electrical Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless Vision Sensor Networks WVSNs is an emerging field which consists of a number of Visual Sensor Nodes VSNs. Compared to traditional sensor networks, WVSNs operates on two dimensional data, which requires high bandwidth and high energy consumption. In order to minimize the energy consumption, the focus is on finding energy efficient and programmable architectures for the VSN by partitioning the vision tasks among hardware FPGA, software Micro-controller and locality sensor node or server. The energy consumption, cost and design time of different processing strategies is analyzed for the implementation of VSN. Moreover, the processing energy and communication energy consumption of VSN is investigated in order to maximize the lifetime. Results show that by introducing a reconfigurable platform such as FPGA with small static power consumption and by transmitting the compressed images after pixel based tasks from the VSN results in longer battery lifetime for the VSN.