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Review of The Clustering Method on The Energy Consumption of Wireless Sensor Networks


Shaymaa Alhayali


Vol. 20  No. 1  pp. 41-50


In a wireless communication sensor, in which each node is close together to the source node, generate a large amount of sample data during transmission, and do not lose the excess traffic obtained by transferring all data collected by each wireless node to the data. In this data sharing process, the bandwidth is low, but it’s also consumes a lot of energy. This large amount of data sets obtain during the connections between nodes are significant driving variables for the examination of remote sensor systems. Bunching lightens this vitality lack issue by reducing information activity passed on to finishing the system, and in this manner, a few grouping techniques are proposed in the writing. Many researches have been done on these constraints of energy consumption during transmission of wireless signal, most of their strategies are based on making genuine suspicions, such as continually finding single sinks at one side of the topology or making bunches close to the sink of smaller sizes. In any case, to the best of our knowledge, there is no extensive research that explores the impacts of different basic options on vitality utilization of remote sensor systems. In this study, we offer an algorithm, which takes better advantage of power and bandwidth, and is restricted in wireless sensor networks. Using this technique, we completely break down the effect of different auxiliary methodologies, including group measure, the number of levels in the topology, node thickness, the position and number of sinks. Broad reenactment manifestations are given. The outcomes demonstrate that the best execution regarding lifetime prolongation is accomplished by finding an adequate number of sinks around the system territory.


wireless sensor network, clustering energy conservation, service quality, sensor life, coverage area.