A Review of Techniques for Minimizing Energy Consumption and Enhancing Lifespan in Wireless Sensor Networks

Bharti P.*
Department of Electronic and Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.
Periodicity:July - December'2023
DOI : https://doi.org/10.26634/jwcn.12.1.20318

Abstract

WSNs play a crucial role in monitoring physical or environmental conditions in scenarios where traditional wired networks are impractical. The study focuses on various clustering techniques and energy-efficient protocols, emphasizing their impact on Packet Drop Ratio (PDR) and overall network efficiency. The paper evaluates the strengths and limitations of protocols such as LEACH, DEEC, SEP, and EDEEC. The evaluation of energy-aware schemes in WSNs includes a thorough comparison of clustering algorithm techniques based on parameters like energy load, algorithm efficiency, and balancing complexity. The presented research not only consolidates existing knowledge but also identifies avenues for future improvements. As the field of WSNs continues to evolve, advancements in clustering algorithms and energyefficient protocols are crucial for meeting the diverse demands of applications.

Keywords

Energy Consumption, Lifespan, Wireless Sensor Network (WSN), Clusters, Packet Drop Ratio (PDR), Lifetime, Dead Nodes.

How to Cite this Article?

Bharti, P. (2023). A Review of Techniques for Minimizing Energy Consumption and Enhancing Lifespan in Wireless Sensor Networks. i-manager’s Journal on Wireless Communication Networks, 12(1), 29-36. https://doi.org/10.26634/jwcn.12.1.20318

References

[3]. Cheikh, E., & Abderrahmane, H. (2014). Energy efficient enhancement of TDEEC wireless sensors network protocol based on passive RFID implementation. International Journal of Advanced Research in Computer and Communication Engineering, 3(5), 6647- 6653.
[5]. Hasan, S., Hussain, Z., & Singh, R. K. (2013). A survey of wireless sensor network. International Journal of Emerging Technolgy and Advanced Engineering, 3(3), 487-492.
[8]. Kaur, A., & Kaur, H. (2017). A review on a hybrid approach using mobile sink and fuzzy logic for region based clustering in WSN. International Journal, 16(2), 7586-7590.
[9]. Krishnamachari, B. (2005, January). An introduction to wireless sensor networks. In Second International Conference on Intelligent Sensing and Information Processing (ICISIP), Chennai, India (pp. 1-101).
[10]. Kumar, R., & Kaur, R. (2014). Evaluating the Performance of DEEC variants. International Journal of Computer Applications, 97(7).
[14]. Maraiya, K., Kant, K., & Gupta, N. (2011). Efficient cluster head selection scheme for data aggregation in wireless sensor network. International Journal of Computer Applications, 23(9), 10-18.
[15]. Nadeem, Q. (2013). A New Energy Efficient Protocol for Wireless Body Area Networks (Master thesis, MS Comsats Institute of Information Technology, Islamabad, Pakistan).
[17]. Perillo, M. A., & Heinzelman, W. B. (2005). Wireless Sensor Network Protocols. In Handbook of Algorithms for Wireless Networking and Mobile Computing, CRC Hall, New York (pp. 1-35).
[18]. Prajapat, M., & Barwar, N. C. (2014). Performance analysis of energy dissipation in WSNs using multi-chain PEGASIS. International Journal of Computer Science Information Technolgy, 5(6), 8033-8036.
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