Clustering is an effective approach for organizing a network into a connected hierarchy, load balancing, and prolonging the network lifetime. This paper proposes an energy-aware distributed dynamic clustering protocol (PFC) which applies three techniques: 1) non-probabilistic Cluster Head (CH) elections.2) on demand clustering. The remaining energy of the nodes is the primary parameter for electing tentative C's via a non-probabilistic fashion.Anon-probabilistic Selection is implemented by introducing a delay inversely proportional to the residual energy of each node. Therefore, tentative CHs are selected based on their remaining energy. Besides, in ECPF, CH elections are performed sporadically (in contrast to performing it every round). Simulation results demonstrate that our approach performs better than well known protocols (LEACH, HEED, and CHEF) in terms of extending network lifetime and saving energy.
Sensor Networks, Clustering, Network Lifetime, Energy Efficient Protocols, Distributed Algorithms.
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