çalhan, ali duzce university - technology faculty - computer engineering department, Turkey

A FUZZY LOGIC BASED CLUSTER HEAD SELECTION ALGORITHM FOR WIRELESS HETEROGENEOUS SENSOR NETWORKS

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Clustering is an important technique utilized to prolong the lifetime of a sensor network by reducing energy consumption. Homogeneous clustering techniques assume that all the sensor nodes are equipped with the same amount of energy and have the same capabilities. So, the developed cluster head selection algorithms cannot take sensor node heterogeneity into account. In this paper we propose a new fuzzy logic (FL) based cluster head selection algorithm for heterogeneous wireless sensor networks (HWSNs). The parameters, i.e., data rate, energy level and distance are considered as inputs of the developed FL unit. The proposed algorithm is compared with a FL based counterpart in the literature in terms of number of cluster head variations and energy consumption rate. The results show that the proposed FL based cluster head selection algorithm not only decreases cluster head variation dramatically but also reduces energy comsumption of heterogeneous sensor nodes between 5% and 75%.

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heterogeneous wireless sensor networks , clustering algorithm , fuzzy logic

Sdu International Technologic Science

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