Energy-Efficient Reliable Data Transmission Using Optimized Cyclone Foraging Strategy in 5G Wireless Sensor Networks

被引:0
作者
Madhavan, Sowmya [1 ]
Reddy, Satti Sudha Mohan [2 ]
Kavitha, T. [3 ]
Kaleem, Afshan [4 ]
Shilpa, V. [5 ]
机构
[1] Nitte Meenakshi Inst Technol, Dept Elect & Commun Engn, Bangalore, India
[2] SRKR Engn Coll, Dept Elect & Commun Engn, Bhimavaram, Andhra Pradesh, India
[3] New Horizon Coll Engn, Dept Comp Engn, Bangalore, India
[4] Muffakham Jah Coll Engn & Technol, Dept Elect & Commun Engn, Hyderabad, India
[5] Cambridge Inst Technol, Dept Comp Sci & Engn, Bangalore, India
关键词
beluga whale optimization; cyclone foraging strategy; data transmission; residual energy; wireless sensor networks;
D O I
10.1002/itl2.643
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
As a fundamental supporting technology of 5th Generation (5G) systems, wireless sensor networks (WSN) are handling a new challenge to enhance its energy-efficient reliable transmission. However, energy usage and network lifetime are observed as challenging tasks because of limited battery capacity and open environments. The cyclone foraging strategy with beluga whale optimization (CFS-BWO) is proposed for energy-efficient reliable data transmission for 5G WSN. The CFS is applied for improving the exploitation phase of traditional BWO, where population transfers in spiral orientation among the best solutions. CFS-BWO optimizes the routing and data aggregation process, which minimizes the energy usage and enhances the network lifetime. The average delay, residual energy, communication cost, and distance are adopted as fitness functions for optimizing the best solution in both CH and route path selection. The performance was calculated by the metrics of residual energy, packet delivery ratio (PDR), and delay across 200, 400, 600, 800, and 1000 rounds. The CFS-BWO reaches residual energy of 0.87 J, PDR of 0.98, and delay of 15 ms for 1000 rounds when compared to optimal cluster-based routing (Optimal-CBR).
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页数:5
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