A Data Estimation for Failing Nodes Using Fuzzy Logic with Integrated Microcontroller in Wireless Sensor Networks

Saad A. Al-Azzam, Ahmad A. Sharieh, Saleh H. Al-Sharaeh


Continuous data transmission in wireless sensor networks (WSNs) is one of the most important characteristics that make this type of networks preferred by a wide range of applications. The sensors in WSNs are prone to failure; a backup strategy needs to co-exist with the infrastructure of the network to assure that no data is missing. This backup strategy could rely on building a history file that stores all collected data from these nodes. This file can be used later on by fuzzy logic technique to estimate missing data if one or more of the nodes fail to submit data from their environments. A microcontroller unit that can be easily programmed and equipped with a data storage mechanism (like a memory card) could help in providing an efficient and cost worthy solution to capturing and storing these data.  The data can be used constantly to calculate errors in estimation and minimize these errors as the system keeps receiving data. The error calculation method presented in this research is used for updating a reference “optimal data table” that is used in estimation of missing data. The error values also assure that the system doesn’t go into an incremental error state. High error values could be used as an indicator for the human controller that the system will not operate properly if the failing node is not fixed.  This paper presents a system integrated of optimal data table, microcontroller, and fuzzy logic to estimate missing data of failing sensors. The adapted approach is guided by the minimum error calculated from previously collected data and controlled by an integrated microcontroller with removable memory storage.


Failing Sensor; Fuzzy Logic; Microcontroller; Node Replacement; Wireless Sensor Networks


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DOI: http://doi.org/10.11591/ijece.v10i4.pp%25p
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