A Survey Paper on Mobility and Energy based Clustering Algorithm in MANET

International Journal of Electronics and Communication Engineering

© 2024 by SSRG - IJECE Journal

Volume 11 Issue 9

Year of Publication : 2024

Authors : Minal Patil, Manish Chawhan, Abhishek Madankar, Ashish Bhagat, Bhumika Neole

10.14445/23488549/IJECE-V11I9P123

How to Cite?

Minal Patil, Manish Chawhan, Abhishek Madankar, Ashish Bhagat, Bhumika Neole, "A Survey Paper on Mobility and Energy based Clustering Algorithm in MANET," SSRG International Journal of Electronics and Communication Engineering, vol. 11,  no. 9, pp. 270-279, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I9P123

Abstract:

Clustering is a highly structured analysis for coordinating routing and improving network performance in MANET using different attributes and metrics. The collaboration and disjoint of mobile nodes from various clusters in the network (MANETs) with their movable nodes' behavior disrupts the network structure unstable, and this issue becomes more severe if the nodes are Cluster Heads (CH). In this article comprehensively investigates of clustering schemes and classifies them into various categories based on the Cluster Head (CH) selection criteria. It helps other researchers to understand how individual forms of clustering algorithms differ from one another. In this review article, the authors emphasize energy and mobility as pivotal criteria for CH selection and cluster maintenance. The article has used quality of service (QoS) indicators to evaluate the efficacy of different existing systems. In research carried out by the different systems, the authors have figured out some key QoS metric commutation and detected several critical factors influencing the effectiveness of clustering methods. Generally, each cluster in the network routing protocol of a MANET includes a CH and multiple neighbor nodes. The benefits of this approach are evident, including higher scalability and stability, reduced management overhead, and a decrease in the number of nodes participating in the same channel.

Keywords:

CH, Stability, Scalability, QoS, Manet, Energy, Mobility, Clustering methods.

References:

[1] Taj Rahman et al., “Notice of Violation of IEEE Publication Principles: Clustering Schemes in MANETs: Performance Evaluation, Open Challenges, and Proposed Solutions,” IEEE Access, vol. 8, pp. 25135-25158, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[2] J.Y. Yu, and P.H.J. Chong, “A Survey of Clustering Schemes for Mobile Ad Hoc Networks,” IEEE Communications Surveys & Tutorials, vol. 7, no. 1, pp. 32-48, 2005.
[CrossRef] [Google Scholar] [Publisher Link]
[3] M. Ashwin, S. Kamalraj, and Mubarakali Azath, “Weighted Clustering Trust Model for Mobile Ad Hoc Networks,” Wireless Personal Communications, vol. 94, pp. 2203-2212, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Sunil Pathak, and Sonal Jain, “A Novel Weight Based Clustering Algorithm for Routing in MANET,” Wireless Networks, vol. 22, pp. 2695-2704, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Mohamed Aissa, and Abdelfettah Belghith, “An Efficient Scalable Weighted Clustering Algorithm for Mobile Ad Hoc Networks,” 2013 3 rd International Conference on Information Technology and e-Services, Sousse, Tunisia, pp. 1-6, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Michail Chatzidakis, and Stathes Hadjiefthymiades, “Location Aware Clustering and Epidemic Trust Management in Mobile Ad Hoc Network,” 2019 28th International Conference on Computer Communication and Networks, Valencia, Spain, pp. 1-7, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Masood Ahmad et al., “State-of-the-Art Clustering Schemes in Mobile Ad Hoc Networks: Objectives, Challenges, and Future Directions,” IEEE Access, vol. 7, no. 17067-17081, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] P. Basu, N. Khan, and T.D.C. Little, “A Mobility Based Metric for Clustering in Mobile Ad Hoc Networks,” Proceedings 21st International Conference on Distributed Computing Systems Workshops, Mesa, AZ, USA, pp. 413-418, 2001.
[CrossRef] [Google Scholar] [Publisher Link]
[9] I.I. Er, and W.K.G. Seah, “Mobility-Based D-Hop Clustering Algorithm for Mobile Ad Hoc Networks,” 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733), Atlanta, GA, USA, vol. 4, pp. 2359-2364, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Minming Ni, Zhangdui Zhong, and Dongmei Zhao, “MPBC: A Mobility Prediction-Based Clustering Scheme for Ad Hoc Networks,” IEEE Transactions on Vehicular Technology, vol. 60, no. 9, pp. 4549-4559, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Soumyabrata Saha, and Rituparna Chaki, “Cluster Based Mobility Considered Routing Protocol for Mobile Ad Hoc Network,” First International Conference on Advances in Computer Science and Information Technology, Bangalore, India, pp. 33-42, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Mengqing Cai et al., “Group Mobility Based Clustering Algorithm for Mobile Ad Hoc Networks,” 2015 17th Asia-Pacific Network Operations and Management Symposium, Busan, Korea (South), pp. 340-343, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Minming Ni et al., “A New Stable Clustering Scheme for Highly Mobile Ad Hoc Networks,” 2010 IEEE Wireless Communication and Networking Conference, Sydney, NSW, Australia, pp. 1-6, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Anubhuti Roda Mohindra, and Charu Gandhi, “An Energy-Efficient Clustering Approach for Collaborative Data Forwarding in Heterogeneous MANET,” International Journal of Communication Systems, vol. 30, no. 18, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Madhvi Saxena et al., “Clustering Based Energy Efficient Algorithm Using Max-Heap Tree for MANET,” 2014 Fourth International Conference on Communication Systems and Network Technologies, Bhopal, India, pp. 123-127, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Satinder Kaur, R.C. Gangwar, and Ranjit Singh, “A Strength Based Energy Efficient Algorithmic Approach in MANET,” 2015 International Conference on Soft Computing Techniques and Implementations, Faridabad, India, pp. 141-145, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Afsaneh Fathi, and Hasan Taheri, “Enhance Topology Control Protocol (ECEC) to Conserve Energy Based Clustering in Wireless Ad Hoc Networks,” 2010 3rd International Conference on Computer Science and Information Technology, Chengdu, China, pp. 356-360, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[18] AbdulRahman H. Hussein, Amer O. Abu Salem, and Sufian Yousef, “A Flexible Weighted Clustering Algorithm Based on Battery Power for Mobile Ad Hoc Networks,” 2008 IEEE International Symposium on Industrial Electronics, Cambridge, UK, pp. 2102-2107, 2008.
[CrossRef] [Google Scholar] [Publisher Link]