CH Selection via Adaptive Threshold Design Aligned on Network Energy

被引：16

作者：

Behera, Trupti Mayee ^{[1
]}

Nanda, Sarita ^{[1
]}

Mohapatra, Sushanta Kumar ^{[1
]}

Samal, Umesh Chandra ^{[1
]}

Khan, Mohammad S. ^{[2
]}

Gandomi, Amir H. ^{[3
]}

机构：

[1] KIIT Univ, Sch Elect Engn, Bhubaneswar 751024, India

[2] East Tennessee State Univ, Dept Comp & Informat Sci, Johnson City, TN 37614 USA

[3] Univ Technol Sydney, Fac Engn & Informat Technol, Ultimo, NSW 2007, Australia

来源：

IEEE SENSORS JOURNAL | 2021年 / 21卷 / 06期

关键词：

Sensors; Wireless sensor networks; Adaptation models; Fuzzy logic; Adaptive systems; Voting; Routing protocols; Adaptive threshold formulation; Efficient CH selection; Fuzzy Logic; Multi-sensor nodes; WSN; WIRELESS SENSOR NETWORKS; PROTOCOL; FREQUENCY; ALGORITHM; EXTEND;

D O I：

10.1109/JSEN.2021.3051451

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：8491 / 8500

页数：10

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