scholarly journals LONG-TERM MEASUREMENT SYSTEM OF NEGATIVE PORE-WATER PRESSURE IN SLOPES USING WIRELESS SENSOR NETWORK

2018 ◽  
Vol 74 (2) ◽  
pp. 144-163
Author(s):  
Kazunari SAKO ◽  
Yusuke YOKOTA ◽  
Tomoaki SATOMI ◽  
Toru DANJO ◽  
Ryoichi FUKAGAWA
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Pore Water ◽  
Measurement System ◽  
Pore Water Pressure ◽  
Water Pressure ◽  
Wireless Sensor ◽  
Long Term Measurement

scholarly journals Investigating Master–Slave Architecture for Underwater Wireless Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3000
Author(s):  
Sadeeq Jan ◽  
Eiad Yafi ◽  
Abdul Hafeez ◽  
Hamza Waheed Khatana ◽  
Sajid Hussain ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Propagation Delay ◽  
Data Packet ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Term Survival ◽  
Limited Bandwidth ◽  
Delay Tolerant

A significant increase has been observed in the use of Underwater Wireless Sensor Networks (UWSNs) over the last few decades. However, there exist several associated challenges with UWSNs, mainly due to the nodes’ mobility, increased propagation delay, limited bandwidth, packet duplication, void holes, and Doppler/multi-path effects. To address these challenges, we propose a protocol named “An Efficient Routing Protocol based on Master–Slave Architecture for Underwater Wireless Sensor Network (ERPMSA-UWSN)” that significantly contributes to optimizing energy consumption and data packet’s long-term survival. We adopt an innovative approach based on the master–slave architecture, which results in limiting the forwarders of the data packet by restricting the transmission through master nodes only. In this protocol, we suppress nodes from data packet reception except the master nodes. We perform extensive simulation and demonstrate that our proposed protocol is delay-tolerant and energy-efficient. We achieve an improvement of 13% on energy tax and 4.8% on Packet Delivery Ratio (PDR), over the state-of-the-art protocol.

scholarly journals Prediction of long-term settlement and evaluation of pore water pressure using particle filter

2019 ◽  
Vol 59 (1) ◽  
pp. 67-83 ◽  
Author(s):  
Toshifumi Shibata ◽  
Takayuki Shuku ◽  
Akira Murakami ◽  
Shin-ichi Nishimura ◽  
Kazunori Fujisawa ◽  
...  
Keyword(s):  
Particle Filter ◽  
Pore Water ◽  
Pore Water Pressure ◽  
Water Pressure

Long-term structural monitoring of the damaged Basilica S. Maria di Collemaggio through a low-cost wireless sensor network

2015 ◽  
Vol 5 (5) ◽  
pp. 655-676 ◽  
Author(s):  
Francesco Potenza ◽  
Fabio Federici ◽  
Marco Lepidi ◽  
Vincenzo Gattulli ◽  
Fabio Graziosi ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Cost ◽  
Wireless Sensor ◽  
Structural Monitoring

scholarly journals Validation of Leaf Area Index Measurement System Based on Wireless Sensor Network

2021 ◽  
Author(s):  
Rongjin Yang ◽  
Lu Liu ◽  
Qiang Liu ◽  
Xiuhong Li ◽  
Lizeyan Yin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Wireless Sensor Network ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Sensor Network ◽  
Measurement System ◽  
Wireless Sensor ◽  
Area Index ◽  
The Real ◽  
Real Value

Abstract Accurate measurement of leaf area index (LAI) is important for agricultural analysis such as the estimation of crop yield, which makes its measurement work important. There are mainly two ways to obtain LAI: ground station measurement and remote sensing satellite monitoring. Recently, reliable progress has been made in long-term automatic LAI observation using wireless sensor network (WSN) technology under certain conditions. We developed and designed an LAI measurement system (LAIS) based on a wireless sensor network to select and improve the appropriate algorithm according to the image collected by the sensor, to get a more realistic leaf area index. The corn LAI was continuously observed from May 30 to July 16, 2015. Research on hardware has been published, this paper focuses on improved system algorithm and data verification. By improving the finite length average algorithm, the data validation results are as follows: 1. The slope of the fitting line between LAIS measurement data and the real value is 0.944, and the root means square error (RMSE) is 0.264 (absolute error ~ 0-0.6), which has high consistency with the real value. 2. The measurement error of LAIS is less than LAI2000, although the result of our measurement method will be higher than the actual value, it is due to the influence of weeds on the ground. 3. LAIS data can be used to support the retrieval of remote sensing products. We find a suitable application situation of our LAIS system data, and get our application value as ground monitoring data by the verification with remote sensing product data, which supports its application and promotion in similar research in the future.

scholarly journals A Protocol for The Effective Utilization of Energy in Wireless Sensor Network

2018 ◽  
Vol 7 (3.3) ◽  
pp. 93 ◽  
Author(s):  
Santosh Anand ◽  
Akarsha RR
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Cost ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Effective Utilization ◽  
Multiple Paths

Energy utilization is an important aspect in any Wireless Sensor Network .The data transmission from various components connected over real-time networks consumes more energy in Wireless Sensor Network. Mainly the task of any network engineer lies in performing an energy efficient, so to reserve the nonrenewable energy supply to sensor nodes. The research convey out effective utilization of energy in wireless sensor networks. It is important to comprise long-term and low-cost monitoring in different WSN application. The network algorithms separated mainly in two parts, first to generate multiple paths and second to switch paths from generated list of paths .Which is implemented as multi-hop-communication so that the battery life of the sensor node may live for long term and low cost of monitoring, which achieve the high lifetime of WSN. 

scholarly journals A High-Resolution Open Source Platform for Building Envelope Thermal Performance Assessment Using a Wireless Sensor Network

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1755 ◽  
Author(s):  
Romwald Lihakanga ◽  
Yuan Ding ◽  
Gabriela M. Medero ◽  
Samuel Chapman ◽  
George Goussetis
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Cost ◽  
Weather Conditions ◽  
Building Envelope ◽  
Wireless Sensor ◽  
Variation Analysis ◽  
Heat Flows

This paper presents an in-situ wireless sensor network (WSN) for building envelope thermal transmission analysis. The WSN is able to track heat flows in various weather conditions in real-time. The developed system focuses on long-term in-situ building material variation analysis, which cannot be readily achieved using current approaches, especially when the number of measurement hotspots is large. This paper describes the implementation of the proposed system using the heat flow method enabled through an adaptable and low-cost wireless network, validated via a laboratory experiment.

Sign in / Sign up

Export Citation Format

Share Document