Optimized Multiple Mobile-Sink Energy Efficient Clustering Algorithm in Wireless Sensor Networks

International Journal of Electronics and Communication Engineering

© 2024 by SSRG - IJECE Journal

Volume 11 Issue 7

Year of Publication : 2024

Authors : Naseem Y. Siddiqui, Sachin Vasant Chaudhari

10.14445/23488549/IJECE-V11I7P102

How to Cite?

Naseem Y. Siddiqui, Sachin Vasant Chaudhari, "Optimized Multiple Mobile-Sink Energy Efficient Clustering Algorithm in Wireless Sensor Networks," SSRG International Journal of Electronics and Communication Engineering, vol. 11,  no. 7, pp. 10-19, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I7P102

Abstract:

Due to their versatility, Wireless Sensor Networks (WSNs) have garnered substantial attention. One critical aspect of WSNs is energy efficiency, particularly in scenarios involving multiple mobile sinks. This research proposes an Optimized Multiple Mobile-Sink Energy Efficient Clustering Algorithm (O-MMECA) scheme to enhance energy utilization and protract network lifetime. The O-MMECA scheme integrates an improvised Artificial Bee Colony (ABC) algorithm. Firstly, the clustering approach is employed to define a Cluster Head (CH), which is elected by each cluster responsible for data aggregation as well as transmission to the mobile sinks. Secondly, multiple mobile sinks are optimally deployed to collect data from CHs, reducing the communication distance and energy consumption. Thirdly, an energy-aware routing protocol is utilized to establish efficient paths from CHs to sinks, considering node energy levels and network conditions. The effectiveness of the O-MMECA scheme in comparison with the existing approaches is demonstrated by the simulations. It achieves significant improvisations in energy efficiency, network lifetime, and data delivery rates, making it suitable for applications requiring reliable data collection in WSNs with multiple mobile sinks.

Keywords:

Energy efficiency, Wireless sensor networks, Clustering approach, Multiple mobile sinks, Routing protocol.

References:

[1] Aliaa M. Alabdali, Niayesh Gharaei, and Arwa A. Mashat, “A Framework for Energy-Efficient Clustering with Utilizing Wireless Energy Balancer,” IEEE Access, vol. 9, pp. 117823-117831, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Bilal R. Al-Kaseem et al., “Optimized Energy–Efficient Path Planning Strategy in WSN with Multiple Mobile Sinks,” IEEE Access, vol. 9, pp. 82833-82847, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Muhammed Ali Aydin, Baybars Karabekir, and Abdül Halim Zaim, “Energy Efficient Clustering-Based Mobile Routing Algorithm on WSNs,” IEEE Access, vol. 9, pp. 89593-89601, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Khalid A. Darabkh et al., “An Innovative Cluster-Based Power-Aware Protocol for Internet of Things Sensors Utilizing Mobile Sink and Particle Swarm Optimization,” Neural Computing and Applications, vol. 35, no. 26, pp. 19365-19408, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Niayesh Gharaei et al., “Collaborative Mobile Sink Sojourn Time Optimization Scheme for Cluster-Based Wireless Sensor Networks,” IEEE Sensors Journal, vol. 18, no. 16, pp. 6669-6676, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Naveen Ghorpade, and P. Vijaykarthik, “Efficient Mobile Sink Path Scheduling for Clustered Based Wireless Sensor Network,” IOP Conference Series: Materials Science and Engineering, vol. 1022, no. 1, pp. 1-8, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Xiaolin He, Xiuwen Fu, and Yongsheng Yang, “Energy-Efficient Trajectory Planning Algorithm Based on Multi-Objective PSO for the Mobile Sink in Wireless Sensor Networks,” IEEE Access, vol. 7, pp. 176204-176217, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Baybars Karabekir, Muhammed Ali Aydın, and Abdül Haim Zaim, “Energy-Efficient Clustering-Based Mobile Routing Algorithm for Wireless Sensor Networks,” Electrica, vol. 21, no. 1, pp. 41-49, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Ajay Kaushik, S. Indu, and Daya Gupta, “Adaptive Mobile Sink for Energy Efficient WSN Using Biogeography-Based Optimization,” International Journal of Mobile Computing and Multimedia Communications, vol. 10, no. 3, pp. 1-22, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Kambiz Koosheshi, and Saeed Ebadi, “Optimization Energy Consumption with Multiple Mobile Sinks Using Fuzzy Logic in Wireless Sensor Networks,” Wireless Networks, vol. 25, pp. 1215-1234, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Uttej Kumar Nannapanenia et al., “Cluster-Based Collection Point Energy Efficient Routing Protocol for the Mobile Sink in Wireless Sensor Network,” International Journal of Future Generation Communication and Networking, vol. 13, no. 2, pp. 787-796, 2020.
[Google Scholar] [Publisher Link]
[12] Olayinka O. Ogundile et al., “Energy-Balanced and Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks,” IET Communications, vol. 13, no. 10, pp. 1449-1457, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[13] R. Radhika, and G.S Binu, “An Enhanced Energy Efficient Routing Method for Mobile Sink Using Ant Colony Optimisation Based Clustering in WSN,” International Conference on Circuits and Systems in Digital Enterprise Technology, Kottayam, India, pp. 1-6, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Y.M. Raghavendra, and U.B. Mahadevaswamy, “Energy Efficient Routing in Wireless Sensor Network Based on Mobile Sink Guided By Stochastic Hill Climbing,” International Journal of Electrical and Computer Engineering, vol. 10, no. 6, pp. 5965-5973, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[15] V. Saranya, S. Shankar, and G.R. Kanagachidambaresan, “Energy Efficient Clustering Scheme (EECS) for Wireless Sensor Network with Mobile Sink,” Wireless Personal Communications, vol. 100, pp. 1553-1567, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Shayesteh Tabatabaei, and Amir Mohsen Rigi, “Reliable Routing Algorithm Based on Clustering and Mobile Sink in Wireless Sensor Networks,” Wireless Personal Communications, vol. 108, no. 4, pp. 2541-2558, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Shamineh Tabibi, and Ali Ghaffari, “Energy-Efficient Routing Mechanism for Mobile Sink in Wireless Sensor Networks Using Particle Swarm Optimization Algorithm,” Wireless Personal Communications, vol. 104, pp. 199-216, 2019.
[CrossRef] [Google Scholar] [Publisher Link]