Design of FPGA Soft Core Based WSN Node Using Customization Paradigm

Patil, Vilabha S.; Deshpande, Shailesh

doi:10.1007/s11277-021-08925-y

Cited by 4 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This protocol model has contributed to a more accurate assessment of nodes in a network, taking into account various factors, such as power and recommendations, but the model is based on the fact that all nodes know their geographic location information and are able to analyze location data of other nodes. On the basis of effective filtering, this presents a major challenge for sensor nodes with limited hardware conditions [12]. At the same time, by constantly promoting various mechanisms for selecting cluster heads in the wireless sensor network, the change of cluster head position has become a significant feature in wireless sensor networks.…”

Section: Integrated Secure Routing Model For Wireless Sensormentioning

confidence: 99%

A Secure Routing Protocol for Wireless Sensor Energy Network Based on Trust Management

Yuan

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In order to enhance the ability of wireless sensor networks to resist various security threats and reduce the limitations caused by the characteristics of wireless sensor networks and sensor nodes, this paper proposes a secure routing protocol for wireless sensor networks based on trust management. Combined with the relevant parameters of wireless sensor network, the simulation experiment is carried out with MATLAB. Aiming at the trust management part of the wireless sensor network security protocol proposed in this paper, the malicious attack environment such as sensor node attributes is simulated to verify the resistance of this model to relevant malicious attacks. For the trust management-based wireless sensor network security routing protocol proposed in this paper, the model included in the protocol is compared to the existing security routing model, combining the characteristics of average simulation transmission, network life, and average routing update time. Experiments show that the model has better routing performance and has improved by an average of about 20%. We offer a new solution to solve the problem of wireless routing security.

show abstract

Section: Integrated Secure Routing Model For Wireless Sensormentioning

confidence: 99%

A Secure Routing Protocol for Wireless Sensor Energy Network Based on Trust Management

Yuan

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The validation of its energy management program using fuzzy logic controller was executed on an NIOS II processor. Vilabha et al [10] demonstrated a softcore-based wireless sensor network node. The NIOS II processor is used for a single node to accelerate complex algorithms.…”

Section: Introductionmentioning

confidence: 99%

XML-Based Automatic NIOS II Multi-Processor System Generation for Intel FPGAs

Cao

Meyer‐Baese

2022

Electronics

View full text Add to dashboard Cite

Many embedded systems are introducing processing units to accelerate the processing speed of tasks, such as for multi-media applications. The units are mostly customized designs. Another method of designing multi-unit systems is using pre-defined standard intellectual properties. However, the procedure of arranging IP cores in a system and maintaining a high performance as well are the remaining challenges. Implementing softcore processors on field-programmable gate arrays (FPGAs) is a relatively fast and inexpensive choice to design and validate a desired system. This paper describes the rapid prototyping of hardware/software co-design based on FPGAs. A novel system generator to effortlessly design a multiple NIOS II soft-processor core systems is also purposed. The NIOS II CPU is a configurable RISC processor designed by Altera/Intel and can be trimmed to complete specific tasks. The error-prone and time-consuming process of designing an IP block-based system is improved by the new novel system generator. The detail of the implementation of such system is discussed. To test the performance of a multi-NIOS II system, a parallel application is executed on 1-, 2-, 5-, and 10-core NIOS II systems separately. Test results prove the feasibility of the proposed methodology (for an FIR filter, a dual-core system is 29% faster than a single-core system; a 5-core system is 28% faster than the dual-core system).

show abstract

Power Optimization in Wireless Sensor Network Using VLSI Technique on FPGA Platform

Leelakrishnan,

Chakrapani

2024

Neural Process Lett

View full text Add to dashboard Cite

Nowadays, the demand for high-performance wireless sensor networks (WSN) is increasing, and its power requirement has threatened the survival of WSN. The routing methods cannot optimize power consumption. To improve the power consumption, VLSI based power optimization technology is proposed in this article. Different elements in WSN, such as sensor nodes, modulation schemes, and package data transmission, influence energy usage. Following a WSN power study, it was discovered that lowering the energy usage of sensor networks is critical in WSN. In this manuscript, a power optimization model for wireless sensor networks (POM-WSN) is proposed. The proposed system shows how to build and execute a power-saving strategy for WSNs using a customized collaborative unit with parallel processing capabilities on FPGA (Field Programmable Gate Array) and a smart power component. The customizable cooperation unit focuses on applying specialized hardware to customize Operating System speed and transfer it to a soft intel core. This device decreases the OS (Operating System) central processing unit (CPU) overhead associated with installing processor-based IoT (Internet of Things) devices. The smart power unit controls the soft CPU’s clock and physical peripherals, putting them in the right state depending on the hardware requirements of the program (tasks) being executed. Furthermore, by taking the command signal from a collaborative custom unit, it is necessary to adjust the amplitude and current. The efficiency and energy usage of the FPGA-based energy saver approach for sensor nodes are compared to the energy usage of processor-based WSN nodes implementations. Using FPGA programmable architecture, the research seeks to build effective power-saving approaches for WSNs.

show abstract

Design of FPGA Soft Core Based WSN Node Using Customization Paradigm

Cited by 4 publications

References 20 publications

A Secure Routing Protocol for Wireless Sensor Energy Network Based on Trust Management

A Secure Routing Protocol for Wireless Sensor Energy Network Based on Trust Management

XML-Based Automatic NIOS II Multi-Processor System Generation for Intel FPGAs

Power Optimization in Wireless Sensor Network Using VLSI Technique on FPGA Platform

Contact Info

Product

Resources

About