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:: Volume 4, Issue 7 (5-2025) ::
3 2025, 4(7): 57-66 Back to browse issues page
Optimizing the Performance of Wireless Sensor and Ad Hoc Networks Using Big Data
Ali Ghasemi , Mehdi Ghahremani
Islamic Azad University
Abstract:   (73 Views)
Abstract
With the rapid growth of communication technologies and the increasing volume of data generated by wireless sensor and ad hoc networks, challenges such as high energy consumption, management of large data sets, and optimal routing have emerged. This paper provides a comprehensive review of methods and techniques for optimizing the performance of wireless sensor and ad hoc networks through the integration of big data analytics. Among the methods discussed are A*-based routing protocols aimed at reducing energy consumption, data aggregation strategies in high-speed big data environments, the use of clustering and mobile sink routing, and an extensive examination of sensor networks as a primary source of big data. Additionally, the integration of computational geometry techniques such as Delaunay triangulation and Minimum Spanning Tree (MST) for improving coverage and routing is explored. Finally, data collection protocols for large-scale sensor networks are also addressed. This review aims to present a comprehensive framework for establishing efficient and sustainable networks in the era of big data by analyzing the strengths and weaknesses of various approaches.
 
Keywords: Data, Ad Hoc Network, Routing, Sensor, Energy, Scale
Full-Text [PDF 568 kb]   (49 Downloads)    
Type of Study: Research | Subject: Special
Received: 2025/05/18 | Accepted: 2025/06/12 | Published: 2025/06/12
References
1. M. M. Shirmohammadi, M. Chahardoli, Wireless Sensor Networks. Hamadan: Islamic Azad University, Hamadan Branch, 2012. ISBN: 978-964-543-103-5.
2. S. Boubiche et al., “Big Data Challenges and Data Aggregation Strategies in Wireless Sensor Networks,” IEEE Access, vol. 6, 2018.
3. H. Zargari, M. Chahardoli, and M. M. Shirmohammadi, “Balanced Clustering with Full Coverage in Heterogeneous Wireless Sensor Networks,” *Advanced Materials Research*, vol. 433, pp. 3458-3462, Feb. 2012. doi: 10.4028/www.scientific.net/AMR.433-440.3458.
4. B.-S. Kim, K.-I. Kim, B. Shah, F. Chow, and K. H. Kim, “Wireless Sensor Networks for Big Data Systems: A Review,” Sensors, vol. 19, no. 7, 2019.
5. S. Sivadasan and G. Nagarajan, “Optimized Energy-Efficient Routing and Adaptive Coverage in Wireless Sensor Networks for Multi-Access Edge Environments,” Communications on Applied Nonlinear Analysis, vol. 32, no. 2s, 2025.
6. A. C. Djedouboum et al., “Big Data Collection in Large-Scale Wireless Sensor Networks,” Sensors, vol. 18, 2018.
7. M. M. Shirmohammadi and M. Chahhardi, “ESEP: A Stable Cluster Head Selection Protocol in Heterogeneous Wireless Sensor Networks with Sleep and Wake Modes,” in *Proceedings of the Computer, Electrical and Information Technology Conference*, Islamic Azad University, Hamadan Branch, Hamadan, vol. 1, 2007.
8. M. M. Shirmohammadi, M. Chhardoli, and K. Faez, “CHEFC: Cluster Head Election with Full Coverage in Wireless Sensor Networks,” in *2009 IEEE 9th Malaysia International Conference on Communications (MICC)*, Kuala Lumpur, Malaysia, Dec. 2009, pp. doi: 10.1109/MICC.2009.5431389.
9. M. M. Shirmohammadi, K. Faez, and M. Chhardoli, “Leader election with load balancing energy in wireless sensor network,” in *2009 WRI International Conference on Communications and Mobile Computing*, vol. 2, Jan. 2009, pp. 106-110. doi: 10.1109/CMC.2009.227
10. S. Boubiche et al., “Big Data Challenges and Data Aggregation Strategies in Wireless Sensor Networks,” IEEE Access, vol. 6, pp. 42545–42567, 2018.
11. S. Z. Majidian and M. M. Shirmohammadi, “Clustering and Routing in Wireless Sensor Networks Using Multi-Objective Cuckoo Search and Game Theory,” *Electronic and Cyber Defense*, vol. 10, no. 3, pp. 11-20, Dec. 2022.
12. H. Yari, M. Esmaeilpour, M. M. Shirmohammadi, "Improved Low-Power Coverage with Variable Radius in Voronoi-Based Wireless Sensor Networks: Firefly Swarm Optimization-K-Means Algorithm," Intell. Inf. Syst. J., vol. 3, no. 6, pp. 11–20, Jan. 2025.
13. S. Sivadasan and G. Nagarajan, “Optimized Energy-Efficient Routing and Adaptive Coverage in Wireless Sensor Networks,” Communications on Applied Nonlinear Analysis, vol. 32, no. 2s, pp. 109–123, 2025.
14. L. G. Rios and J. A. Incera Diguez, "Big data infrastructure for analyzing data generated by wireless sensor networks," in *Proc. 2014 IEEE Int. Congress on Big Data*, Anchorage, AK, USA, Jun. 27–Jul. 2, 2014.
15. M. T. Rahama, M. Hossen, and M. M. Rahman, "A routing protocol for improving energy efficiency in wireless sensor networks," in *Proc. 3rd Int. Conf. on Electrical Engineering and Information Communication Technology (ICEEICT)*, Dhaka, Bangladesh, Sep. 22–24, 2016, doi: 10.1109/CEEICT.2016.7873104.
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Ghasemi A, ghahremani M. Optimizing the Performance of Wireless Sensor and Ad Hoc Networks Using Big Data. 3 2025; 4 (7) :57-66
URL: http://jiis.iauh.ac.ir/article-1-40-en.html


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Volume 4, Issue 7 (5-2025) Back to browse issues page
فصلنامه سیستم های اطلاعاتی هوشمند Intelligent Information Systems Journal
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