Bütün, İsmailRa, In-hoSankar, Ravi2021-03-202021-03-2020151687-14721687-1499http://doi.org/10.1186/s13638-015-0321-6https://hdl.handle.net/20.500.12885/1163Butun, Ismail/0000-0002-1723-5741; Sankar, Ravi/0000-0003-2206-6767In this article, we investigate clustering algorithms that are proposed for wireless sensor networks (WSNs). Then, we propose a clustering algorithm for WSNs called PCAC, that is both power and connectivity aware. Our proposed Power- and Connectivity-Aware Clustering (PCAC) algorithm provides higher energy efficiency and increases the total life time (TLT) of the network. We evaluate our proposed PCAC algorithm in a simulation environment and compare its performance to previously proposed algorithms. According to the simulation results, our proposed PCAC algorithm is energy efficient and also provides longer TLT (in worst-case, up to 85% improvement for a 15-node network with one-hop connectivity) to the network, compared to the previously proposed algorithms.eninfo:eu-repo/semantics/openAccessClusteringWireless sensor networkPower-awareConnectivity-awareHierarchicalTotal life timeArticle10.1186/s13638-015-0321-6WOS:000353224100001Q3Q1