scholarly journals Environmental Monitoring Smart System with Self-Sustaining Wireless Sensor Network Using Data Validation Algorithms

2020 ◽  
Vol 7 (1) ◽  
pp. E10-E19
Author(s):  
T. Kanwal ◽  
S. Altaf ◽  
M. K. Javed

Study in Wireless Sensor Network (WSN) has been becoming an emerging and promising research topic aiming for the advancement in the Internet of Things (IoT) for a reliable connection. The capability of the wireless sensor to be used in a complex environment can become hard to reach areas and also be able to communicate in an ad-hoc manner, attracted researchers in recent times. Development in wireless sensor network producing a lot of new applications to sense environment remotely are facing challenges restricting it to perform up to its potential. Data validation and data reliability are such existing problems in this domain that needed to be addressed. Because sensed data cannot be blindly trusted upon, as it may have faults and errors occurred with-in the sensing environment. Besides, to guarantee the active state of the sensing system in a remote area is also essential in terms of power usage and management. The focus of the paper is data validation acquired from sensors deployed in remote areas. Although, lots of data validation algorithms have been proposed by researchers to identify single data fault. However, our research identifies multiple faults, namely spike fault, out of range fault, outliers, and stuck at fault using a hybrid form of an algorithm. A comparison with the existing algorithm shows that the proposed algorithm improved data validation by 97 % in detecting multiple data faults using Artificial Intelligence techniques. Keywords: wireless sensor network, data validation, feature extraction, feature identification, algorithm.

2010 ◽  
Vol 6 (1) ◽  
pp. 216716 ◽  
Author(s):  
Chiranjib Patra ◽  
Anjan Guha Roy ◽  
Samiran Chattopadhyay ◽  
Parama Bhaumik

Preserving energy or battery power of wireless sensor network is of major concern. As such type of network, the sensors are deployed in an ad hoc manner, without any deterministic way. This paper is concerned with applying standard routing protocols into wireless sensor network by using topology modified by neural network which proves to be energy efficient as compared with unmodified topology. Neural network has been proved to be a powerful tool in the distributed environment. Here, to capture the true distributed nature of the Wireless Sensor Network (WSN), neural network's Self-Organizing Feature Map (SOFM) is used.


2015 ◽  
Author(s):  
Jialin Zhang ◽  
Qiang Liu ◽  
Xiuhong Li ◽  
Hailin Niu ◽  
Erli Cai ◽  
...  

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