Mostafa Mirzaie

Ferdowsi University Of Mashhad | FUM · Department of Computer Engineering

In order to enhance the function of the wireless sensor network, the lifetime of the sensor nodes has to be boosted. Using energy-efficient clustering and routing algorithms is a solution to deal with decreasing energy in wireless networks. In many algorithms, clustering is performed in each round which leads to increase in the number of transmitte...

Data quality is one of the most important issues that if not taken into consideration appropriately, results in the low reliability of the knowledge extracted through big data analytics. Furthermore, the challenges with data quality management are even greater with streaming data. Most of the methods introduced in the literature for processing stre...

In this study, an adaptive fuzzy logic based algorithm for clustering heterogeneous sensors is proposed (AFLCH) which considers the environmental conditions of each sensor to select the best candidates as cluster centers. The proposed method uses three different clustering algorithms, different clustering parameters and adaptive threshold in order...

This article presents a fuzzy-based algorithm to cluster heterogeneous nodes using a fixed threshold in wireless sensor networks (MACHFL-FT). By using three clustering algorithm in different rounds, the proposed method chooses the best sensor nodes as cluster heads. On the other hand, in order to reduce sent messages, it is able to avoid selecting...

With the advent of big data applications and the increasing amount of data being produced in these applications, the importance of efficient methods for big data analysis has become highly evident. However, the success of any such method will be hindered should the data lacks the required quality. Big data quality assessment is therefore a major re...

One of the most significant problems of Big Data is to extract knowledge through the huge amount of data. The usefulness of the extracted information depends strongly on data quality. In addition to the importance, data quality has recently been taken into consideration by the big data community and there is not any comprehensive review conducted i...

Fuzzy Multi Cluster-Based Routing with a Constant Threshold (FMCR-CT) is presented as a solution to help save more energy in wireless sensor networks. Most of the algorithms introduced so far are based on clustering in each round and single-hop transmission of data to the base station. Clustering in each round increases the number of control messag...

In this study, a multi-clustering algorithm based on fuzzy logic (MCFL) with an entirely different approach is presented to carry out node clustering in wsn. This approach minimizes energy dissipation and, consequently, prolongs network lifetime. In the past, numerous algorithms were tasked with clustering nodes in wireless sensors networks. The co...

One major concern shared by many researchers about underwater wireless sensor networks (UWSNs), with respect to the limitations and particularities of underwater environment, is the problem of routing. These limitations include three-dimensional topology, limited bandwidth, node movement, long delay, limited energy, and construction costs. The new...

In the past, numerous algorithms were tasked with clustering nodes in wireless sensors networks. Each of these algorithms has its own advantages and disadvantages. The common denominator of all these approaches is the constancy of the algorithm in all the rounds of network lifetime that causes the selection of cluster heads in each round. Failing t...

A Wireless Sensor Network consists of multiple sensory nodes and one base station in which the information is received through sensors and sent to the base station. Sending information by each node to the station reduces the node energy and, accordingly, network lifespan due to dispersion of nodes and their various distances. Thus, each node sends...