scholarly journals Cost-Effective 4 GHz VCO Using Only Miniature Spirals Realized in a 0.18 μm CMOS Process for Wireless Sensor Network (WSN) Applications

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1369
Author(s):  
Heesauk Jhon ◽  
Min-Su Kim ◽  
Myounggon Kang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Integrated Circuit ◽  
Figure Of Merit ◽  
Cost Effective ◽  
Wireless Sensor ◽  
Cmos Process ◽  
Voltage Controlled Oscillators ◽  
Area Occupation ◽  
Implementation Technique

This paper presents an extremely cost-effective radio-frequency integrated circuit (RFIC) implementation technique by employing a digital logic CMOS process and reducing area occupation for voltage-controlled oscillators (VCOs) using all miniature inductors for wireless sensor network (WSN) applications. The designed VCO operates in the 4.0 GHz band with a power consumption of 1.4 mW and a phase noise of −113.6 dBc/Hz at 1 MHz, occupying a Si area of 0.283 × 0.682 mm2. In addition, we confirmed that the figure of merit (FOM) of 183.8 in our design is competitive with that of other LC-VCOs that were fabricated using the RF option and designed with conventional inductors.

scholarly journals Novel Scheme for Minimal Iterative PSO Algorithm for Extending Network Lifetime of Wireless Sensor Network

2018 ◽  
Vol 8 (2) ◽  
pp. 1084
Author(s):  
Hemavathi P ◽  
Nandakumar A. N.
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Dynamic Network ◽  
Cost Effective ◽  
Pso Algorithm ◽  
Wireless Sensor ◽  
Cost Effective Method ◽  
Significant Research

Clustering is one of the operations in the wireless sensor network that offers both streamlined data routing services as well as energy efficiency. In this viewpoint, Particle Swarm Optimization (PSO) has already proved its effectiveness in enhancing clustering operation, energy efficiency, etc. However, PSO also suffers from a higher degree of iteration and computational complexity when it comes to solving complex problems, e.g., allocating transmittance energy to the cluster head in a dynamic network. Therefore, we present a novel, simple, and yet a cost-effective method that performs enhancement of the conventional PSO approach for minimizing the iterative steps and maximizing the probability of selecting a better clustered. A significant research contribution of the proposed system is its assurance towards minimizing the transmittance energy as well as receiving energy of a cluster head. The study outcome proved proposed a system to be better than conventional system in the form of energy efficiency.

scholarly journals Multi-stage secure clusterhead selection using discrete rule-set against unknown attacks in wireless sensor network

2020 ◽  
Vol 10 (4) ◽  
pp. 4296
Author(s):  
Tejashwini N. ◽  
D. R. Shashi Kumar ◽  
K. Satyanarayana Reddy
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cost Effective ◽  
Wireless Sensor ◽  
Cyber Physical System ◽  
Delivery Performance ◽  
Multi Stage ◽  
Simulation Based ◽  
Rule Set ◽  
Selection Of

Security is the rising concern of the wireless network as there are various forms of reonfigurable network that is arised from it. Wireless sensor network (WSN) is one such example that is found to be an integral part of cyber-physical system in upcoming times. After reviewing the existing system, it can be seen that there are less dominant and robust solutions towards mitigating the threats of upcoming applications of WSN. Therefore, this paper introduces a simple and cost-effective modelling of a security system that offers security by ensuring secure selection of clusterhead during the data aggregation process in WSN. The proposed system also makes construct a rule-set in order to learn the nature of the communication iin order to have a discrete knowledge about the intensity of adversaries. With an aid of simulation-based approach over MEMSIC nodes, the proposed system was proven to offer reduced energy consumption with good data delivery performance in contrast to existing approach.

scholarly journals Automatic Remote Farm Irrigation System with WSN and Weather Forecasting

2022 ◽  
Vol 2161 (1) ◽  
pp. 012075
Author(s):  
Aditya Sai Kilaru ◽  
Prem Madishetty ◽  
Harsha Vardhan Naidu Yamala ◽  
C V Giriraja
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Weather Forecasting ◽  
Irrigation System ◽  
Weather Prediction ◽  
Cost Effective ◽  
Reliable Data ◽  
Sensor Nodes ◽  
Wireless Sensor

Abstract The paper showcases the system used for automating agriculture using wireless sensor network (WSN) and weather prediction. WSN, is more efficient than IoT as it avoids connecting all the sensor nodes directly to Internet, thus reducing the traffic over Internet and energy consumption of the sensor network. The system consists of a clustered tree topology to increase the range of operation, connectivity and easily connect new nodes dynamically. The sensor nodes being the leaves, local gateways being the branches and the global gateway being the root node. The system is implemented using cost effective micro-controllers, robust communication modules and reliable data showcasing platforms. Our implementation uses weather prediction to minimize the water needed for irrigation. Thereby minimizing cost and increasing efficient usage of resources.

Comparison of Image Compression Methods for Image Transmission Over Wireless Sensor Network

2019 ◽  
Vol 16 (9) ◽  
pp. 3912-3916 ◽  
Author(s):  
Rekha Dalia ◽  
Rajeev Gupta
Keyword(s):  
Wireless Sensor Network ◽  
Image Compression ◽  
Sensor Network ◽  
Compression Ratio ◽  
Performance Metrics ◽  
Cost Effective ◽  
Image Transmission ◽  
Wireless Sensor ◽  
Compression Time ◽  
Image Compression Algorithm

Unlike conventional networks, in Wireless Sensor Network the nodes have constrained energy, memory and processing capabilities. These nodes deployed in a constrained environment monitor any changes in surrounding environment and transfer the changes to the cluster heads. Each node has its own memory, battery, and transceivers. Efficient utilization of these resources can result in the enhancement of network lifetime. In order to securely transfer the data in the form of images, an efficient and cost effective image compression algorithm is required. Hence, in this paper, a detailed review of image compression algorithms has been carried out. The selected algorithms are compared in terms of various performance metrics such as compression ratio, compression time, speed, type of data, etc. The results showed that algorithm proposed by Borici and Arber is the best in case of compression ratio, as it provides better compression ratio in comparison to other algorithms.

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