Open Access Open Access  Restricted Access Subscription or Fee Access

Energy-Aware Routing Protocols for Wireless Sensor Networks

Ritika Pandey, Sudhir Shukla

Abstract


Wireless sensor networks present a number of issues, including storage capacity, communication bandwidth, processing speed, and battery life (WSNs). All of these factors have an impact on the longevity of a WSN.. Solving all of these problems and extending the WSN's lifespan. Energy optimization in WSNs is a difficult problem that has sparked a lot of research and standardization methods over the years. Various clustering protocols have evolved to address the issue of reducing energy usage in WSNs. In this context, certain protocols choose a suitable node to serve as the cluster head in order to extend the network's lifespan, as well as clustering strategies. Different fuzzy-based clustering approaches are explored in this study, which can help in the development of novel energy-efficient routing protocols for WSN. The main goal of this article is to go over various types of routing protocols and their benefits and drawbacks. Furthermore, the lifetimes of various protocols have been graphically compared. Several tables are depicted that are useful for in-depth studies, and a graphical comparison of the most recent clustering techniques reveals the best clustering technique for improving network lifetime.


Full Text:

PDF

References


Aydin MA, Karabekir B, Zaim AH. Energy Efficient Clustering-Based Mobile Routing Algorithm on WSNs. IEEE Access 2021;9:89593–601. https://doi.org/10.1109/ACCESS.2021.3090979.

Patel NR, Kumar S. Wireless sensor networks’ challenges and future prospects. Proc 2018 Int Conf Syst Model Adv Res Trends, SMART 2018 2018:60–5. https://doi.org/10.1109/SYSMART.2018.8746937.

Ali AN, Mardini W, Abuein QQ, Khair M. A Hybrid and Efficient Algorithm for Routing in Wireless Sensor Networks. 2020 11th Int Conf Inf Commun Syst ICICS 2020 2020:355–60. https://doi.org/10.1109/ICICS49469.2020.239543.

Fong DY. Wireless sensor networks. Internet Things Data Anal Handb 2017:197–213. https://doi.org/10.1002/9781119173601.ch12.

Potdar V, Sharif A, Chang E. Wireless sensor networks: A survey. Proc - Int Conf Adv Inf Netw Appl AINA 2009:636–41. https://doi.org/10.1109/WAINA.2009.192.

Kocakulak M, Butun I. An overview of Wireless Sensor Networks towards internet of things. 2017 IEEE 7th Annu. Comput. Commun. Work. Conf., 2017, p. 1–6. https://doi.org/10.1109/CCWC.2017.7868374.

Houssein EH, Saad MR, Hussain K, Shaban H, Hassaballah M. A Review of Metaheuristic Optimization Algorithms in Wireless Sensor Networks. Stud Comput Intell 2021;967:193–217. https://doi.org/10.1007/978-3-030-70542-8_9.

Purkar S V, Deshpande RS. Energy Efficient Clustering Protocol to Enhance Performance of Heterogeneous Wireless Sensor Network: EECPEP-HWSN. J Comput Networks Commun 2018;2018:1–12. https://doi.org/10.1155/2018/2078627.

Qing L, Zhu Q, Wang M. Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Comput Commun 2006;29:2230–7. https://doi.org/10.1016/j.comcom.2006.02.017.

Lifetime Maximization of Heterogeneous WSN Using Fuzzy-based Clustering. Recent Adv Comput Sci Commun 2020;14:3025–39. https://doi.org/10.2174/2666255813999200824123409.




DOI: https://doi.org/10.37628/jbcc.v7i2.1625

Refbacks

  • There are currently no refbacks.