CH Selection via Adaptive Threshold Design Aligned on Network Energy
CH Selection via Adaptive Threshold Design Aligned on Network Energy
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DOI：
10.1109/jsen.2021.3051451
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发表时间：
2021-03-15
影响因子：
4.3
通讯作者：
Gandomi, Amir H.
中科院分区：
文献类型：
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作者：
Behera, Trupti Mayee;Nanda, Sarita;Gandomi, Amir H.
涉及多个传感器节点的无线传感器网络（WSN）中的能量消耗是智能医疗系统、家庭自动化、环境监测和工业用途等许多应用中的关键参数。因此，能量有效的簇头（CH）的选择策略是必要的，在无线传感器网络，以提高网络性能。因此，为了平衡网络中的恶劣条件与能量动态的快速变化，一种新的能量有效的自适应模糊CH选择方法。广泛的模拟利用了各种实时场景，例如改变基站位置和网络能量的最佳位置。此外，结果表明，吞吐量（46）和能耗（66）的性能有所改善，这证明了所提出的模型对未来设计的无线传感器网络应用程序的鲁棒性和有效性。
Energy consumption in Wireless Sensor Networks (WSN) involving multiple sensor nodes is a crucial parameter in many applications like smart healthcare systems, home automation, environmental monitoring, and industrial use. Hence, an energy-efficient cluster-head (CH) selection strategy is imperative in a WSN to improve network performance. So to balance the harsh conditions in the network with fast changes in the energy dynamics, a novel energy-efficient adaptive fuzzy-based CH selection approach is projected. Extensive simulations exploited various real-time scenarios, such as varying the optimal position of the location of the base station and network energy. Additionally, the results showed an improved performance in the throughput (46) and energy consumption (66), which demonstrated the robustness and efficacy of the proposed model for the future designs of WSN applications.