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Hardware/Software Implementation for Wireless Sensor Network Applications
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Author(s): Mohamed Wassim Jmal (University of Sfax, Tunisia), Oussema Ghorbel (University of Sfax, Tunisia), Olfa Gaddour (University of Sfax, Tunisia)and Mohamed Abid (University of Sfax, Tunisia)
Copyright: 2013
Pages: 17
Source title:
Embedded Computing Systems: Applications, Optimization, and Advanced Design
Source Author(s)/Editor(s): Mohamed Khalgui (Xidian University, China), Olfa Mosbahi (University of Carthage, Tunisia)and Antonio Valentini (O3neida Europe, Belgium)
DOI: 10.4018/978-1-4666-3922-5.ch015
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Abstract
Wireless Sensor Networks (WSNs) are currently attracting great interest and the number of its application domains is varying and increasing. However, some of these applications are very sensitive to the execution time and require huge memory and computation resources, which contrast to the nature of sensor motes with limited capabilities. There have been a lot of software solutions that aim to optimize the memory consumption and to reduce the execution time of WSN applications, but few previous research efforts considered a hardware/software optimization of the sensor mote resources. The limitation of studies on hardware optimization on WSN motivated the authors to write this chapter, with the objective to design a new HW architecture with FPGA technology that allows extending the sensor mote capabilities. An optimal routing protocol to efficiently route messages between motes was chosen. It enables the reduction of different communication problems such as message unreachability, long paths, and traffic congestion. The authors first study one of WSN applications that require great resources, image processing. They demonstrate how the memory and processing capabilities of classical sensor motes are not sufficient for the treatment of this application, and the point-to-point routing cannot be applied in such applications. The authors then survey the most important routing protocols for WSNs in order to select the best routing algorithm. They finally propose a reconfigurable HW/SW architecture based on FPGA for critical WSN applications. Results show that the proposed solution outperforms the performance of the classical sensor motes, and is extensible for application to other WSN applications.
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