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Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Journal of Information and Optimization Sciences
Open Access Research Article

An exploration of integration of IoT and 5G networks and a fuzzy approach for clustering to enhance the lifetime of such networks

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pp. 1215–1227Vol. 44Issue 6September 2023DOI: 10.47974/JIOS-1459XML
Published Online:
11 Nov 2023
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1459
Pages:
1215–1227

Abstract

Medium access control protocols play an important role for allocating the medium to the smart devices connected on the networks. These networks include IoT and sensor networks, IoT and 5G networks, IoT and optical networks using 5G communication etc. MAC protocols ensure the efficient and fair communication through these networks from devices to base station. Wireless sensor networks are considered as the back bone for the internet controlled applications. These networks set up link between virtual and real world. The selection of the suitable MAC protocol can help in improving the network life time so the data collected by the nodes is delivered to its destination. So this paper explores the various MAC protocols available for IoT and 5G applications and .The parameters of study for these MAC protocols used for the real time applications includes residual energy, throughput, packet delivery ratio, latency and network lifetime. The paper also explores the usages of machine learning and AI used in MAC protocols for these high speed IoT networks. The work addresses the improvement of network lifetime and residual energy by applying Fuzzy approach for the selection of cluster head . The energy consumption increases if the clusters are not balanced in terms of the nodes so we have used the grid formation of the clusters. We used the Fuzzy Logic Inference system (FIS) in the cluster formation technique. The probabilistic method for election of cluster head does not consider the parameters such as residual energy, node position and base station distance. This result in the improper selection of the cluster head .The use of multiple parameters in the FIS improves the network lifetime and residual energy as compared to the classical LEACH protocol. Fuzzy logic approach solves the uncertainties occurring in the system especially when it is handling the larger amount of data. The fuzzy approach shows the prolonged network lifetime in terms of first node die and the Last node Die. We have also used the statistical regression approach to calculate the residual energy and network life time in terms of alive nodes. Finally this chapter ends with the discussion of challenges and future scope of the MAC protocols used for the real time applications. The work is important as it gives opportunity for the research areas in high speed IoT and 5G networks for using AI and ML intelligent to develop QoS MAC protocols.

Keywords

Medium Access Control ProtocolsIoT5GResidual EnergyFuzzy LogicNetwork Lifetime

Subject Classifications

68M18

References

[1] W. B. Heinzelman, A. P. Chandrakasan, and H.Balkrishnan “Energy-Efficient Communication Protocol for Wireless Microsensor Networks” Hawaii International Conference on System Sciences, Maui, Hawaii, Vol. 2, pp. 10 (January2000).
[2] S. Lindsey and C. S. Raghavendra,PEGASIS: “power- efficient gathering in sensor information systems,” Aero- space Conference Proceedings, Vol. 3, pp. 1125–1130 (2002).
[3] L. Li, S. Dong, and X. Wen, “An energy efficient clustering routing algorithm for wireless sensor net- works”, The Journal of China Universities of Posts and Telecommunications, Vol. 3, No. 13, pp. 71–75 (September 2006). 
[4] W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol archi- tecture for wireless microsensor networks”, IEEE Transa- ctions on Wireless Communications, pp. 660–670 (October 2002).
[5] C. Nam, H. Jeong, and D. Shin, “The adaptive cluster head selection in wireless sensor networks”, IEEE International Workshop on Semantic Computing and Applications, pp. 147–149 (2008).
[6] F. Mir, A. Bounceur and F. Meziane, “Regression Analysis for Energy and Lifetime Prediction in Large Wireless Sensor Networks”, INDS (2014).
[7] M. Réda El Ouadi, A. Hasbi, “Efficient organization of nodes in wireless sensor networks (clustering location-based LEACH)”, International Journal of Electrical and Computer Engineering (IJECE), Vol. 12, No. 1 (February 2022).
[8] T. Mayee Behera1, U. Chandra Samal1, S. Kumar Mohapatra, “Energy-efficient modified LEACH protocol for IoT application” IET Wireless Sensor Systems (2018).
[9] C.G. Emily Fox, “The Simple Linear Regression Model, Machine Learning : Regression (2018).
[10] L. Xu, Rem Collier, and Gregory M. P. O’Hare, Member, IEEE “A Survey of Clustering Techniques in WSNs and Consideration of the Challenges of Applying Such to 5G IoT Scenarios” IEEE Internet Of Things, VOL. 4, NO. 5 (2017).
[11] L. Sathish Kumar, Sultan Ahmad, Sidheswar Routray, A. V. Prabu,Abdullah Alharbi, Bader Alouffi, and S. Rajasoundaran, “Modern Energy Optimization Approach for Efficient Data Communication in IoT-Based Wireless Sensor Networks”, Wireless Communications and Mobile Computing Volume 2022.
[12] A. B. M. Alim Al Islam1, Chowdhury Sayeed Hyder2, Humayun Kabir3, Mahmuda Naznin4, “Finding the Optimal Percentage of Cluster Heads from a New and Complete Mathematical Model on LEACH”, Wireless Sensor Network, 2, 129-140 (2010).
[13] S. Amjad1, S. Abbas1, Z.Abubaker1, M. H. Alsharif, A.Jahid, N. Javaid, “Blockchain Based Authentication and Cluster Head Selection Using DDR-LEACH in Internet of Sensor Things”.
[14] S. Tyagi a, NeerajKumarb,“A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks”, Journal of Network and Computer Applications 36, 623–645 (2013).
[15] Foudil Mir1, Ahcène Bounceur2 and Farid Meziane3, “Regression Analysis for Energy and Lifetime Prediction in Large Wireless Sensor Networks”, Ahcène Bounceur on 12 April 2017.
[16] Satvik Vats & B. B. Sagar : Performance evaluation of K-means clustering on Hadoop infrastructure, Journal of Discrete Mathematical Sciences and Cryptography, 22:8, 1349-1363 (2019), DOI: 10.1080/09720529.2019.1692444.
[17] Satvik Vats, Sunny Singh, Gaurav Kala, Rahul Tarar & Sanjay Dhawan FRCR. iDoc-X: An artificial intelligence model for tuberculosis diagnosis and localization, Journal of Discrete Mathematical Sciences and Cryptography, 24:5, 1257-1272 (2021), DOI: 10.1080/09720529.2021.1932910. 
[18] Kumar, Vishal, Gayatri Sakya, and Chandra Shankar. “WSN and IoT based smart city model using the MQTT protocol.” Journal of Discrete Mathematical Sciences and Cryptography 22.8 : 1423-1434 (2019), https://www.tandfonline.com/doi/abs/10.1080/09720529.2019.1692449. 
[19] Gayatri Sakya & Vidushi Sharma, “Performance evaluation of ADMC-MAC mission critical protocol for wireless sensor networks‖”, Journal of Discrete Mathematical Sciences and Cryptography, 22:8, 1407-1422 (2019). DOI: 10.1080/09720529.2019.1692448.
[20] Gayatri Sakya, Chhaya Dalela, Laxman Singh & Anuj Jain, ―Machine learning based MAC protocol design for pipeline leakage detection in smart city project‖, Journal of Discrete Mathematical Sciences and Cryptography, 24:5, 1283-1292 (2021). DOI: 10.1080/09720529.2021.1932915.
[21] Gayatri Sakya, Vidushi Sharma, “ADMC-MAC: Energy efficient adaptive MAC protocol for mission critical applications in WSN”, Sustainable Computing: Informatics and Systems, Volume 23, Pages 21-28 (2019), ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2019.05.001.(https://www.sciencedirect.com/science/article/pii/S2210537919300551).

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