Data Reduction Algorithms for Wireless Sensor Networks in Environment Monitoring and Warning Applications

On improving the lifespan of wireless sensor networks with fuzzy based clustering and machine learning based data reduction

Applied Soft Computing ◽

10.1016/j.asoc.2019.105610 ◽

2019 ◽

Vol 83 ◽

pp. 105610 ◽

Cited By ~ 9

Author(s):

S. Radhika ◽

P. Rangarajan

Keyword(s):

Machine Learning ◽

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Reduction ◽

Wireless Sensor

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Design of Environment Monitoring System Based on CAN Bus and Wireless Sensor Networks for Greenhouse

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1049-1050.1163 ◽

2014 ◽

Vol 1049-1050 ◽

pp. 1163-1166

Author(s):

Bo Chang ◽

Xin Rong Zhang ◽

Li Hong Li

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Can Bus ◽

Environmental Parameters ◽

Wireless Sensor ◽

Area Network ◽

Environment Monitoring ◽

Effective Solution ◽

Greenhouse Crops ◽

Backbone Network

In order to accurately collect the environmental parameters (such as temperature, humidity, illumination, etc.), which influence growth of greenhouse crops, the paper proposed a design for greenhouse environment monitoring based on CAN bus and wireless sensor networks (WSNs). The communication network of the system consists of two parts: the backbone network being constructed by CAN bus and area network being constructed by WSNs. At the same time, the designed of hardware and software about the system is illustrated in detail. System architecture indicates that the system is an effective solution for greenhouse environment monitoring.

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Wireless Sensor networks with Zigbee and WiFi for Environment Monitoring, Traffic Management and Vehicle Monitoring in Smart Cities

2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS) ◽

10.1109/cccs.2018.8586819 ◽

2018 ◽

Cited By ~ 1

Author(s):

D. Rahul Naik ◽

Lyla B. Das ◽

T. S. Bindiya

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Traffic Management ◽

Smart Cities ◽

Wireless Sensor ◽

Environment Monitoring ◽

Vehicle Monitoring

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Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring

International Journal of Online Engineering (iJOE) ◽

10.3991/ijoe.v13i08.6709 ◽

2017 ◽

Vol 13 (08) ◽

pp. 4

Author(s):

Yong Jin ◽

Zhenjiang Qian ◽

Xiaoshuang Xing ◽

Lu Shen

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Environmental Monitoring ◽

Monitoring System ◽

Living Environment ◽

Wireless Sensor ◽

Environment Monitoring ◽

Communication Services ◽

Environmental Monitoring System ◽

Major Bottleneck

ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can improve the survivability of the scheme. The robust guarantee scheme through hardware design and algorithm model, realized the remote wireless communication services and prolonged the network life cycle, so as to improve the survivability of the environmental monitoring system.

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Design of Toxic Environment Monitoring System for Industrial Sites Based on Wireless Sensor Networks

Journal of Physics Conference Series ◽

10.1088/1742-6596/2025/1/012098 ◽

2021 ◽

Vol 2025 (1) ◽

pp. 012098

Author(s):

Xinrong Zhang ◽

Bo Chang

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Monitoring System ◽

Wireless Sensor ◽

Environment Monitoring ◽

Industrial Sites ◽

Toxic Environment

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Wireless Sensor Networks for Indoor Environment Monitoring Using LabVIEW

International Journal of Computer and Communication Technology ◽

10.47893/ijcct.2011.1076 ◽

2011 ◽

pp. 87-90

Author(s):

Mrutyunjay Rout ◽

Dr. Harish Kumar Verma ◽

Subhashree Das

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Indoor Environment ◽

Environmental Parameters ◽

Sensor Nodes ◽

Wireless Sensor ◽

Environment Monitoring ◽

Wireless Sensor Nodes ◽

Local Decision ◽

Mems Technology

Wireless sensor networks (WSNs) have gained worldwide attention in recent years, particularly with the rapid progress in Micro-Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. These sensors are small, with limited processing and computing resources, and they are inexpensive compared to traditional sensors. These sensor nodes can sense, measure, and gather information from the environment and, based on some local decision process, they can transmit the sensed data to the user. WSNs are large networks made of a numerous number of sensor nodes with sensing, computation, and wireless communication capabilities. In present work we provide a brief summary of the state-ofthe- art in wireless sensor networks, investigate the feasibility of indoor environment monitoring using crossbow wireless sensor nodes. Here we used nesC programming language and TinyOS operating system for programming Crossbow sensor nodes and LabVIEW GUI is used for displaying different indoor environmental parameters such as temperature, humidity and light acquired from different Wireless sensor nodes. These sensor readings can help building administrators to monitor the physical conditions of the environment in a building for creating optimized energy usage.

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