Low-Complexity and Energy-Efficient Algorithms on Image Compression for Wireless Sensor Networks

2010 ◽  
Vol E93-B (12) ◽  
pp. 3438-3447 ◽  
Author(s):  
Phat NGUYEN HUU ◽  
Vinh TRAN-QUANG ◽  
Takumi MIYOSHI
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Image Compression ◽  
Energy Efficient ◽  
Low Complexity ◽  
Efficient Algorithms ◽  
Wireless Sensor

Low Complexity Processor Designs for Energy-Efficient Security and Error Correction in Wireless Sensor Networks

2012 ◽  
pp. 348-366 ◽  
Author(s):  
J. H. Kong ◽  
J. J. Ong ◽  
L.-M. Ang ◽  
K. P. Seng
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Error Correction ◽  
Energy Efficient ◽  
Small Area ◽  
Low Complexity ◽  
Wireless Sensor ◽  
Battery Life ◽  
Processor Designs ◽  
Hardware Designs

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.

scholarly journals Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771811 ◽  
Author(s):  
Liao Wenxing ◽  
Wu Muqing ◽  
Wu Yuewei
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Efficient Algorithm ◽  
Energy Efficient ◽  
Main Idea ◽  
Software Defined Networking ◽  
Efficient Algorithms ◽  
Energy Space ◽  
Wireless Sensor

Energy efficiency has always been a hot issue in wireless sensor networks. A lot of energy-efficient algorithms have been proposed to reduce energy consumption in traditional wireless sensor networks. With the emergence of software-defined networking, researchers have demonstrated the feasibility of software-defined networking over traditional wireless sensor networks. Thus, energy-efficient algorithms in software-defined wireless sensor networks have been studied. In this article, we propose an energy-efficient algorithm based on multi-energy-space in software-defined wireless sensor networks. First, we propose a novel architecture of software-defined wireless sensor networks according to current research on software-defined wireless sensor networks. Then, we introduce the concept of multi-energy-space which is based on the residual energy. Based on the novel architecture of software-defined wireless sensor networks and the concept of multi-energy-space, we give a detailed introduction of the main idea of our multi-energy-space-based energy-efficient algorithm. Simulation results show that our proposed algorithm performs better in energy consumption balance and network lifetime extension compared with the typical energy-efficient algorithms in traditional wireless sensor networks.

scholarly journals Increasing Coverage with Efficiency in WSN using Energy Efficient Algorithms

2019 ◽  
Vol 9 (2) ◽  
pp. 4405-4409
Keyword(s):  
Genetic Algorithm ◽  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Efficient Algorithms ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Coverage Problem ◽  
Leach Protocol

Current years Wireless Sensor networks is a leading area in research due to its number of applications in massive areas .The major concern for Wireless sensor networks is an issue of power of batteries for sensor nodes , several algorithms were transcribed to solve this problem but in so many cases only energy efficiency is considered , coverage problem with energy efficiency is not addressed in most of the cases. To give a better solution for energy efficiency and coverage in this paper modified LEACH protocol is proposed with genetic algorithm, which gives comparatively better results than EBRP protocol

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