Basavaraj GN¹*, Karthik SA¹ and Prasad AY²

¹1Department of ISE, BMS Institute of Technology and Management, Bengaluru, India
²Department of CS&E, SJB Institute of Technology, Bengaluru, India

*Corresponding Author: Basavaraj GN, Department of ISE, BMS Institute of Technology and Management, Bengaluru, India.

Received: January 22, 2023; Published: February 08, 2023

Abstract

Wireless Sensor Networks (WSNs) are made up of micro-sensor nodes with limited energy with processing capability in a constrained environment. WSN monitors physical and environmental conditions of many applications (e.g., health, military, home). Dense numbers of sensors are deployed to operate autonomously in different conditions of the environment. The main problem of WSN is maintaining network lifetime for a long time using low battery Sensor Nodes (SNs). Sensor nodes are frequently organized into distinct, non- overlapping groups termed clusters to provide high scalability with improved data aggregation. The pathways for data transfer in Wireless Sensor Networks (WSNs) are chosen in such a way that the total energy consumption is reduced to optimize network lifespan. We review advancements in clustering, classification of clustering properties and prominent cluster-based algorithms.

Keywords: LEACH; Clustering; Cluster Head; CH Selection; Wireless Sensor Network; Energy Efficient; Network Lifetime

References

1. Mohammad Ilyas and Imad Mahgoub. “Compact Wireless and Wired Sensing Systems”. Handbook of Sensor Networks: CRC Press LLC, (2005).
2. Younis M., et al. “Energy-aware routing in cluster-based sensor networks”. In Proceedings of the 10^th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS2002), Fort Worth, TX, USA, October (2002).
3. Schurgers C and Srivastava MB. “Energy efficient routing in wireless sensor networks”. In The MILCOM Proceedings on Communications for Network-Centric Operations: Creating the Information Force, McLean, VA, USA, (2001).
4. Shah R and Rabaey J. “Energy aware routing for low energy ad hoc sensor networks”. In Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), Orlando, FL, USA, March (2002).
5. Rodoplu V and Meng TH. “Minimum energy mobile wireless networks”. IEEE J. Sel. Area Communication. 17 (1999): 133344.
6. A A Abbasi and M Younis. “A survey on clustering algorithms for wireless sensor networks”. Elsevier Computer Communications (2007): 2826-2841.
7. Zhao., et al. “An Energy-Balanced Strategy for Clustering protocols in Wireless sensor Networks”. Springer-verlag Berlin eidelberg, LNCS 4325 (2006): 612-621.
8. Khalid Z., et al. “A real-time energy-aware routing strategy for wireless sensor networks”. accepted for presentation in The 2007 Asia-Paci¯c Conference on Communications, Bangkok, Thailand, (2007).
9. , et al. “Energy-Efficient Communication Protocol for Wireless Micro-sensor Networks”. Proceedings of the 33^rd Hawaii International Conference on System Sciences 8 (2020): 8020.
10. Matthias Handy., et al. “Low Energy Adaptive Clustering Hierarchy with Deterministic Cluster-Head Selection”. in IEEE MWCN (2002): 368-372.
11. Younis O and Fahmy S. “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad-hoc Sensor Networks”. Mobile Computing, IEEE 4 (2004): 366-379.
12. Selvakennedy S., et al. “A biologically-inspired clustering protocol for wireless sensor networks”. Computer Communication 30 (2007): 2786-2801.
13. Frank Comeau., et al. “A Clustered Wireless Sensor Network Model Based on Log – distance Path Loss”. IEEE Communication Networks and Services Research Conference (2008).
14. Bagchi S. “A distributed algorithm for energy-aware clustering in WSN”. International Journal of Sensor Networks 7 (2010).
15. Ming Yu., et al. “A Dynamic Clustering and Energy Efficient Routing Technique for Sensor Networks”. IEEE Transactions on Wireless Communications 6 (2007).
16. Mao YE., et al. “An Energy Efficient Clustering Scheme in Wireless Sensor Network”. Ad Hoc and Sensor Wireless Networks 3 (2007): 99-119.
17. Indranil Gupta., et al. “Cluster-head Election using Fuzzy Logic for Wireless Sensor Networks”. Communication Networks and Services Research Conference, 2005. Proceedings of the 3^rd Annual (2005).
18. S Cui and K Ferens. “Energy Efficient Clustering Algorithms for Wireless Sensor Networks”. Department of Electrical and Computer Engineering (2008).
19. YANASim Network Simulator.
20. Mondal S., et al. “Energy efficient algorithms for enhancing lifetime in wireless sensor networks”. Microsystem Technologies (2022).
21. Gupta S K., et al. “SSEER: Segmented sectors in energy efficient routing for wireless sensor network”. Multimedia Tools and Applications (2022).

Citation

Citation: Basavaraj GN., et al. “Recent Study on Energy Efficient Cluster Based Algorithms for Wireless Sensor Network". Acta Scientific Computer Sciences 5.3 (2023): 46-53.

Copyright

Copyright: © 2023 Basavaraj GN., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.