scholarly journals Design Secure WSN with Advancement in Finding Rouge Access Point with Soft Computing Tools

2020 ◽  
Author(s):  
Abhijit S. Bodhe ◽  
Pravin Dhanrao ◽  
Abhimanyu Sangle ◽  
Jagdisha N.
Keyword(s):  
Real Time ◽  
Soft Computing ◽  
Fuzzy Controller ◽  
Access Point ◽  
Wireless Sensor ◽  
Time Data ◽  
Potential Threat ◽  
Biometric Data ◽  
Multiple Sensors ◽  
Secure Information

Now a days wireless communication is become very vast, important and easy to access with multiple wireless sensor network in existence as it having very less cost associated and easily available via multiple mobile devices with sensors to create a hotspots, It creates a potential threat for community using wireless media for communicating some secure information like banking passwords, military information, biometric data etc. on unsecured network. This proposed paper will expose one of such potential threat Rouge Access Point (RAP) detection by making the use of soft computing prediction tool in our case fusion of neural network with fuzzy logic known as neuron-fuzzy method and design a fuzzy controller (FLC) to find such RAP & secure the existing wireless network where multiple sensors are actively working in real time to provide the real time data.

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.

Smart Environmental Monitoring System

2019 ◽  
Vol 10 (1) ◽  
pp. 43-54
Author(s):  
Karthik Sudhakaran Menon ◽  
Brinzel Rodrigues ◽  
Akash Prakash Barot ◽  
Prasad Avinash Gharat
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Urban Areas ◽  
Real Life ◽  
Cloud Service ◽  
Threshold Value ◽  
Time Data ◽  
Multiple Sensors ◽  
Alert Message ◽  
Environmental Monitoring System

In today's world, air pollution has become a common phenomenon everywhere, especially in the urban areas, air pollution is a real-life problem. In urban areas, the increased number of hydrocarbons and diesel vehicles and the presence of industrial areas at the outskirts of the major cities are the main causes of air pollution. The problem is seriously intense within the metropolitan cities. The governments around the world are taking measure in their capability. The main aim of this project is to develop a system which may monitor and measure pollutants in the air in real time, tell the quality of air and log real-time data onto a remote server (Cloud Service). If the value of the parameters exceeds the given threshold value, then an alert message is sent with the GPS coordinates to the registered number of the authority or person so necessary actions can be taken. The Arduino board connects with Thingspeak cloud service platform using ESP8266 Wi-Fi module. The device uses multiple sensors for monitoring the parameters of the air pollution like MQ-135, MQ-7, DHT-22, sound sensor, LCD.

PROBABILISTIC REAL-TIME DATA FUSION IN WIRELESS SENSOR NETWORKS WITH ZIGBEE

2007 ◽  
Vol 40 (22) ◽  
pp. 267-272 ◽  
Author(s):  
A.R. Pinto ◽  
Benedito R. Bitencort ◽  
Underlea C. Correa ◽  
M.A.R. Dantas ◽  
Carlos Montez
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Fusion ◽  
Real Time ◽  
Wireless Sensor ◽  
Time Data ◽  
Real Time Data
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