Hybrid K-Medoids with Energy-Efficient Sunflower Optimization Algorithm for Wireless Sensor Networks

Shaha Al-Otaibi, Venkatesan Cherappa (), Thamaraimanalan Thangarajan, Ramalingam Shanmugam, Prithiviraj Ananth and Sivaramakrishnan Arulswamy
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Shaha Al-Otaibi: Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Venkatesan Cherappa: Department of Electronics and Communication Engineering, HKBK College of Engineering, Bangalore 560045, Karnataka, India
Thamaraimanalan Thangarajan: Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore 641202, Tamilnadu, India
Ramalingam Shanmugam: Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore 641202, Tamilnadu, India
Prithiviraj Ananth: Department of Computer Science Engineering, Sona College of Technology, Salem 636005, Tamilnadu, India
Sivaramakrishnan Arulswamy: Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur 522502, Andhra Pradesh, India

Sustainability, 2023, vol. 15, issue 7, 1-16

Abstract: Wireless sensor network (WSN) sensor nodes should have adequate energy. Reduced energy usage is essential to maximize the endurance of WSNs. Combining WSN with a more significant energy source, a cluster head (CH), is another effective strategy for extending WSN durability. A CH is dependent on the communication inside and between clusters. A CH’s energy level extends the cluster’s life for the complete WSN. Determining the energy required in WSNs while developing clustering algorithms is challenging. For maintaining energy efficiency in WSNs, this research offers K-medoids with sunflower-based clustering and a cross-layer-based optimal routing approach. An efficient fitness function generated from diverse objectives is used to choose the CH. After CH selection, sunflower optimization (SFO) indicates the best data transmission line to the sink node. The proposed protocol, SFO-CORP, increased the network lifetime by 19.6%, 13.63%, 11.13%, and 4.163% compared to the LEACH, EECRP, FEEC-IIR, and CL-IoT protocols, respectively. The experimental results showed that it performed better for packet delivery ratio, energy consumption, end-to-end delay, network lifetime, and computation efficiency.

Keywords: hybrid K-medoids; energy efficiency; cluster head; sunflower optimization algorithm; network lifetime (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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