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A New Energy-Aware Cluster Head Selection Algorithm for Wireless Sensor Networks
(Springer, 2021) Tay, Muhammed; Senturk, Arafat
Wireless Sensor Networks (WSN) always need energy due to the areas they are used. The use of sensors is quite wide, and in some of the places, it is very difficult or impossible to restore the energy of the sensors such as in war areas or in wildlife. Therefore, they need to use their existing energy most efficiently. For WSN, the role of clustering is crucial in terms of using less energy. Selecting the most appropriate sensor node as cluster head (CH) according to the criteria determined within the clustered sensors reduces the energy consumption. In this study, a new clustering algorithm is proposed for WSNs to reduce energy consumption and thus prolong the life of the WSNs. The Cluster Centered Cluster Head Selection Algorithm (C3HA), which is developed in line with this objective, gives a new perspective to the selection of CH while creating a more efficient WSN than the popular clustering algorithms LEACH, and PEGASIS. This developed algorithm is compared with popular algorithms and proved to be more efficient in terms of fast and accurate CH selection.