An energy-efficient fuzzy-based scheme for unequal multihop clustering in wireless sensor networks

摘要: Currently, wireless sensor networks (WSNs) are providing practical solutions for various applications, including smart agriculture and healthcare, have provided essential support by wirelessly connecting the numerous nodes or sensors that function in sensing systems needed transmission to backends via multiple hops data analysis. One key limitation of these is self-contained energy embedded battery due their (tiny) size, (in) accessibility, (low) cost constraints. Therefore, a challenge efficiently control consumption sensors, other words, prolong overall network lifetime large-scale farm. Studies worked toward optimizing communication, one promising approach focuses on clustering. In this approach, cluster formed, its representatives, namely, head (CH) members (CMs), with latter transmitting within short range CH. The CH then aggregates forwards it base station (BS) using multihop method. However, maintaining equal clustering regardless parameters such as distance density potentially results shortened lifetime. Thus, study investigates application fuzzy logic (FL) determine membership functions thereby obtain appropriate criteria. We propose an FL-based architecture consisting four stages: competition radius (CR) determination, election, CM joining, determination selection criteria next (relaying). A performance analysis was conducted against state-of-the-art distributed protocols, i.e., multiobjective optimization algorithm (MOFCA), energy-efficient unequal (EEUC), FL (DUCF), energy-aware (EAUCF) scheme. proposed method displayed terms usage.