Book chapter
Low complexity processor designs for energy-efficient security and error correction in wireless sensor networks
Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management, pp.348-366
IGI Global
2012
Abstract
This chapter presents low complexity processor designs for energy-efficient security and error correction for implementation on wireless sensor networks (WSN). WSN nodes have limited resources in terms of hardware, memory, and battery life span. Small area hardware designs for encryption and error-correction modules are the most preferred approach to meet the stringent design area requirement. This chapter describes Minimal Instruction Set Computer (MISC) processor designs with a compact architecture and simple hardware components. The MISC is able to make use of a small area of the FPGA and provides a processor platform for security and error correction operations. In this chapter, two example applications, which are the Advance Encryption Standard (AES) and Reed Solomon (RS) algorithms, were implemented onto MISC. The MISC hardware architecture for AES and RS were designed and verified using the Handel-C hardware description language and implemented on a Xilinx Spartan-3 FPGA.
Details
- Title
- Low complexity processor designs for energy-efficient security and error correction in wireless sensor networks
- Authors
- J H Kong (Author) - University of Nottingham Malaysia CampusJ J Ong (Author) - University of Nottingham Malaysia CampusLi-Minn Ang (Author) - University of Nottingham Malaysia CampusK P Seng (Author) - University of Nottingham Malaysia Campus
- Contributors
- Noor Zaman (Editor) - King Faisal UniversityKhaled Ragab (Editor) - King Faisal UniversityAzween Bin Abdullah (Editor) - Universiti Teknologi Petronas
- Publication details
- Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management, pp.348-366
- Publisher
- IGI Global
- Date published
- 2012
- DOI
- 10.4018/978-1-4666-0101-7.ch017; 10.4018/978-1-4666-0101-7
- ISBN
- 9781466601024
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99513902702621
- Output Type
- Book chapter
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