scholarly journals On the Parameters consideration & analysis of menderline antenna for wireless sensor networks

2018 ◽  
Vol 7 (2.23) ◽  
pp. 201
Author(s):  
Harish Rajurkar ◽  
Dr Sudhir Akojwar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensors ◽  
Return Loss ◽  
Impedance Matching ◽  
Wireless Sensor ◽  
Antenna Performance ◽  
Monopole Antennas ◽  
Optimum Geometry ◽  
Geometric Size

The objective of this paper is to present an analysis of menderline monopole antennas, which are applicable to wireless sensor networks in agricultural. In this paper, a 2.4 GHz Menderline Monopole Antenna (MLMA) is proposed for wireless sensors network. This work presents the detailed analysis of menderline antenna and variation of mender line parameter on antenna performance. A MLMA is modeled at 2.4 GHz with substrate of FR4 with dielectric constant (εr) of 4.4. The performance of the MLMA is enhanced by using optimum geometry. The better performance in terms of bandwidth and impedance matching is found. For the proposed MLMA, the bandwidth of 149MHz and return loss of -23.98dB is obtained. The proposed work shows good performance of MLMA, in terms of geometric size, bandwidth and return loss which makes it suitable for wireless sensor network. 

scholarly journals Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3309 ◽  
Author(s):  
Łukasz Januszkiewicz ◽  
Paolo Di Barba ◽  
Łukasz Jopek ◽  
Sławomir Hausman
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Impedance Matching ◽  
Radiation Efficiency ◽  
Ultra Wideband ◽  
Wireless Sensor ◽  
Initial Design ◽  
Antenna Performance ◽  
Final Design ◽  
Automated Optimization

This paper describes a new design and an optimization framework for a four-band antenna to be used in wireless sensor networks. The antenna is designed to operate effectively in two open frequency bands (ISM—Industrial, Scientific, Medical), 2.4 GHz and 5.8 GHz, as well as in two bands allocated for the fifth-generation (5G) cellular networks, 0.7 GHz and 3.5 GHz. Our initial design was developed using the trial and error approach, modifying a circular disc monopole antenna widely used in ultra wideband (UWB) systems. This initial design covered the three upper bands, but impedance matching within the 700 MHz band was unsatisfactory. The antenna performance was then improved significantly using an optimization algorithm that applies a bi-objective fully-Paretian approach to its nine-parameter geometry. The optimization criteria were impedance matching and radiation efficiency. The final design exhibits good impedance matching in all four desired bands with the Voltage Standing Wave Ratio (VSWR) value below 2 and radiation efficiency of 88%. The simulated antenna performance was verified experimentally.

scholarly journals Self-Organization of Activity in Wireless Sensor Networks

2005 ◽  
Vol 1 (2) ◽  
pp. 245-252 ◽  
Author(s):  
P. Davis ◽  
A. Hasegawa ◽  
N. Kadowaki ◽  
S. Obana
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Wireless Sensors ◽  
Ad Hoc ◽  
Wireless Sensor ◽  
Self Organization ◽  
Sensor Systems ◽  
Low Resolution ◽  
Sensing Data

We propose a method for managing the spontaneous organization of sensor activity in ad hoc wireless sensor systems. The wireless sensors exchange messages to coordinate responses to requests for sensing data, and to control the fraction of sensors which are active. This method can be used to manage a variety of sensor activities. In particular, it can be used for reducing the power consumption by battery operated devices when only low resolution sensing is required, thus increasing their operation lifetimes.

scholarly journals Proposed Intelligent Pre-Processing Model of Real-Time Flood Forecasting and Warning for Data Classification and Aggregation

2017 ◽  
Vol 13 (11) ◽  
pp. 4 ◽  
Author(s):  
Marouane El Mabrouk ◽  
Salma Gaou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Wireless Sensors ◽  
Data Classification ◽  
Flood Forecasting ◽  
Base Stations ◽  
Wireless Sensor ◽  
Time Data ◽  
Forecasting And Warning

A wireless sensor network is a network that can design a self-organizing structure and provides effective support for several protocols such as routing, locating, discovering services, etc. It is composed of several nodes called sensors grouped together into a network to communicate with each other and with the base stations. Nowadays, the use of Wireless sensor networks increased considerably. It can collect physical data and transform it into a digital values in real-time to monitor in a continuous manner different disaster like flood. However, due to various factors that can affect the wireless sensor networks namely, environmental, manufacturing errors hardware and software problems etc... It is necessary to carefully select and filter the data from the wireless sensors since we are providing a decision support system for flood forecasting and warning. In this paper, we presents an intelligent Pre-Processing model of real-time flood forecasting and warning for data classification and aggregation. The proposed model consists on several stages to monitor the wireless sensors and its proper functioning, to provide the most appropriate data received from the wireless sensor networks in order to guarantee the best accuracy in terms of real-time data and to generate a historical data to be used in the further flood forecasting.

scholarly journals Power Grid-Oriented Cascading Failure Vulnerability Identifying Method Based on Wireless Sensors

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shudong Li ◽  
Yanshan Chen ◽  
Xiaobo Wu ◽  
Xiaochun Cheng ◽  
Zhihong Tian
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Bearing Capacity ◽  
Real World ◽  
Wireless Sensors ◽  
Power Grid ◽  
Wireless Sensor ◽  
Cascading Failure ◽  
Cascade Effect ◽  
Network Power

In our paper, we study the vulnerability in cascading failures of the real-world network (power grid) under intentional attacks. Here, we use three indexes ( B , K , k -shell) to measure the importance of nodes; that is, we define three attacks, respectively. Under these attacks, we measure the process of cascade effect in network by the number of avalanche nodes, the time steps, and the speed of the cascade propagation. Also, we define the node’s bearing capacity as a tolerant parameter to study the robustness of the network under three attacks. Taking the power grid as an example, we have obtained a good regularity of the collapse of the network when the node’s affordability is low. In terms of time and speed, under the betweenness-based attacks, the network collapses faster, but for the number of avalanche nodes, under the degree-based attack, the number of the failed nodes is highest. When the nodes’ bearing capacity becomes large, the regularity of the network’s performances is not obvious. The findings can be applied to identify the vulnerable nodes in real networks such as wireless sensor networks and improve their robustness against different attacks.

Level Crossing Sampling for Energy Conservation in Wireless Sensor Networks

2011 ◽  
pp. 207-228 ◽  
Author(s):  
Hadi Alasti
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Conservation ◽  
Network Lifetime ◽  
Wireless Sensors ◽  
Large Scale ◽  
Real Life ◽  
Wireless Sensor ◽  
Level Crossing ◽  
Bandlimited Signals

In periodic sampling of the bandlimited signals, many of the consecutive samples are very similar and sometimes the signal remains unchanged over periods of time. These samples can be interpreted as redundant. For this, transmission of all of the periodic samples from all of the sensors in wireless sensor networks is wasteful. The problem becomes more challenging in large scale wireless sensor networks. Level crossing sampling in time is proposed for energy conservation in real-life application of wireless sensor networks to increase the network lifetime by avoiding the transmission of redundant samples. In this chapter, a design framework is discussed for application of level crossing sampling in wireless sensor networks. The performance of level crossing sampling for various level definition schemes are evaluated using computer simulations and experiments with real-life wireless sensors.

A Review on Wireless Sensor Networks Architecture, Operation and Design Challenges

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Ankit Kumar Pandey ◽  
Arun Kumar Mishra
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Embedded System ◽  
Wireless Sensors ◽  
Wireless Sensor ◽  
Extreme Conditions ◽  
Environmental Attributes ◽  
Operational Characteristics ◽  
High Or Low Temperature ◽  
Design Challenges

Wireless sensor networks are designed to remotely monitor physical or environmental attributes such as temperature, pressure, light, sound, etc. They generally comprise embedded system units consisting of sensing, processing, and communication units inside them. Such Wireless sensors can be deployed in extreme conditions like deep forests, high or low-temperature areas, industrial setup, etc. where continuous manual surveillance is not possible. In this paper, Wireless Sensor networks have been discussed in detail. Their architecture, operational characteristics, and challenges associated with setting up and managing the Wireless Sensor Networks have been discussed.

Gear Condition Monitoring and Classification Using Wireless Sensor Networks

2006 ◽  
Author(s):  
Xin Xue ◽  
V. Sundararajan ◽  
Luis Gonzalez
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Condition Monitoring ◽  
Wireless Sensors ◽  
High Performance ◽  
Nearest Neighbor ◽  
Industrial Applications ◽  
Classification Performance ◽  
Wireless Sensor ◽  
Linear Discriminant

Current research in wireless sensor networks has chiefly focused on environmental monitoring applications. Wireless sensors are emerging as viable instrumentation techniques for industrial applications because of their flexibility, non-intrusive operation, safety and their low cost, low power characteristics. We describe a prototype gear condition monitoring system incorporating wireless sensors. Measurements of strain on gear teeth, vibration and temperature were undertaken using strain gage, accelerometer, and thermistors, respectively. The sensors interface to a sensor board that is connected to a microprocessor and a radio. Gear faults diagnosis using conventional classification techniques such as principle component analysis (PCA), Fisher linear discriminant analysis (LDA) and Nearest-Neighbor Rule (NNR) is studied in this paper. Two sets of vibration data, one set of strain data, and three sets of temperature data are used to classify a running gear under normal condition and a running gear with simulated crack teeth. Feature level data fusion is used to test the classification performance of simple but less effective features to study the fusion effects. The results show high performance of strain features, high quality of the classifier and obvious fusion effect which increases the classification performance.

scholarly journals Localizing Wireless Sensors with Diverse Granularities in Wireless Sensor Networks

2015 ◽  
Vol 11 (8) ◽  
pp. 280674
Author(s):  
Xiaoyan Yin ◽  
Qi Zhang ◽  
Xin Zheng ◽  
Liang Wang ◽  
Hui Zhao ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensors ◽  
Wireless Sensor
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