5G/6G Kablosuz Sensör Ağlarında Sürdürülebilir Haberleşme: Enerji Verimli İşbirliğine Dayalı Rotalama Üzerine Literatür Taraması
Yıl 2025,
Cilt: 2 Sayı: 1, 11 - 26, 28.03.2025
Muhammed Yasir Yılmaz
,
Berk Üstüner
,
Ömer Melih Gül
,
Hakan Ali Çırpan
Öz
Kablosuz sensör ağları (KSA’lar), 5G/6G teknolojilerindeki gelişmelerle birlikte yeni iletişim sistemlerinde önemli bir rol oynamaktadır. Bu ağlar, akıllı şehirlerden endüstriyel otomasyona, çevre izleme sistemlerinden sağlık uygulamalarına kadar geniş bir uygulama yelpazesine sahiptir. Ancak, sensör düğümlerinin sınırlı enerji kaynaklarına sahip olması nedeniyle, enerji verimliliği bu ağların sürdürülebilirliği için kritik bir konu olmaya devam etmektedir. Sensör düğümlerinin uzun ömürlü ve verimli çalışmasını sağlamak için düşük güçlü yönlendirme protokollerine ihtiyaç vardır. Bu çalışma, KSA’larda sürdürülebilirliği sağlamak için tasarlanmış işbirlikçi enerji verimli yönlendirme protokollerini incelemektedir. Her şeyden önce, işbirlikçi yönlendirme yöntemlerinin temel prensipleri tartışılmakta ve düğümler arasında veri iletimini optimize etme yaklaşımları incelenmektedir. Ardından, farklı enerji verimli yönlendirme protokolleri karşılaştırılmakta ve hiyerarşik, düzlemsel ve konum tabanlı protokollerin artıları ve eksileri analiz edilmektedir. Yapay zeka ve makine öğrenimi tekniklerinin yönlendirme protokollerine entegre edilmesiyle, düğüm seçim süreçlerinin dinamik olarak optimize edilmesinin ve ağ ömrünün uzatılmasının mümkün olduğu gösterilmektedir. Bu literatür taraması, enerji açısından verimli yönlendirme protokollerinin mevcut durumu özetlenmiş, karşılaşılan zorluklar tartışılmış ve gelecekteki araştırmalar için olası yönler önermiştir.
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Sustainable Communication in 5G/6G Wireless Sensor Networks: A Survey on Energy-Efficient Collaborative Routing
Yıl 2025,
Cilt: 2 Sayı: 1, 11 - 26, 28.03.2025
Muhammed Yasir Yılmaz
,
Berk Üstüner
,
Ömer Melih Gül
,
Hakan Ali Çırpan
Öz
Wireless sensor networks (WSNs) play an important role in modern communication systems with the advances in 5G/6G technologies. These networks have a wide range of applications, from smart cities to industrial automation, from environmental monitoring systems to healthcare applications. However, since sensor nodes have limited energy resources, energy efficiency remains a critical issue for the sustainability of these networks. Low-power routing protocols are needed to ensure the long lifespan and efficient operation of sensor nodes. This study comprehensively studies cooperative energy-efficient routing protocols designed to achieve sustainability in WSNs. First of all, the basic principles of cooperative routing methods are discussed and approaches to optimize data transmission between nodes are reviewed. Then, different energy-efficient routing protocols are compared and the pros and cons of hierarchical, planar and location-based protocols are analyzed. It is shown that by integrating artificial intelligence (AI) and machine learning (ML) techniques into routing protocols, it is possible to dynamically optimize node selection processes and extend the network lifetime. This survey summarizes the current status of energy-efficient routing protocols, discusses the challenges encountered and suggests potential directions for future research.
Kaynakça
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- O. M. Gul and A. M. Erkmen, “Energy-aware uav-driven data collection with priority in robotic wireless sensor network,” IEEE Sensors Journal, vol. 23, pp. 17 667–17 675, 2023.
- O. M. Gul, A. M. Erkmen, and B. Kantarci, “Ntn-aided quality and energy-aware data collection in time-critical robotic wireless sensor networks,” IEEE Internet of Things Magazine, vol. 7, pp. 114–120, 2024.
- O. M. Gul, “Uav-driven robust and energy-aware data collection in robotic wireless sensor networks,” in 2024 15th IFIP Wireless and Mobile Networking Conference (WMNC), vol. 1, 2024, pp. 17–24.
- O. M. Gul, “A novel energy-aware path planning by autonomous underwater vehicle in underwater wireless sensor networks,” Turkish Journal of Maritime and Marine Sciences, vol. 10, pp. 81–94, 2024.
- O. M. Gul and M. Demirekler, “Average throughput performance of myopic policy in energy harvesting wireless sensor networks,” Sensors, vol. 17, p. 2206, 2017.
- O. M. Gul and M. Demirekler, “Asymptotically throughput optimal scheduling for energy harvesting wireless sensor networks,” IEEE Access, vol. 6, pp. 45 004–45 020, 2018.
- O. M. Gul, “Achieving near-optimal fairness in energy harvesting wireless sensor networks,” in 2019 IEEE Symposium on Computers and Communications (ISCC), vol. 1, 2019, pp. 1–6.
- M. Biradar and B. Mathapathi, “Secure, reliable and energy efficient routing in wsn: A systematic literature survey,” in 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), IEEE, 2021, pp. 1–7. DOI: 10.1109/ICAECT49130.2021.9392561.
- E. Gures, I. Shaye, A. Alhammadi, M. Ergen, and H. Mohamad, “A comprehensive survey on mobility management in 5g heterogeneous networks: Architectures, challenges and solutions,” IEEE Access, vol. 8, pp. 195 883–195 901, 2020.
- X.Wang, X.Wang, and J. Zhao, “Impact of mobility and heterogeneity on coverage and energy consumption in wireless sensor networks,” in 31st International Conference on Distributed Computing Systems, 2011, pp. 477–484.
- P. B. et al., “Ai-driven approaches for optimizing power consumption: A comprehensive survey,” Journal of Energy Informatics, vol. 12, no. 3, pp. 234–256, 2024.
- A. Pasqualetto, L. Serafini, and M. Sprocatti, Artificial Intelligence Approaches for Energy Efficiency: A Review. Department of Information Engineering, University of Padua, 2024.
- M. Mahamat, G. Jaber, and A. Bouabdallah, “Achieving efficient energy-aware security in iot networks: A survey of recent solutions and research challenges,” Wireless Networks, vol. 29, pp. 787–808, 2023. DOI: 10.1007/s11276-022-03170-y.
- R. Priyadarshi, “Energy-efficient routing in wireless sensor networks: A meta-heuristic and artificial intelligence-based approach: A comprehensive review,” Journal of Intelligent Systems, vol. 15, no. 4, pp. 231–256, 2024.
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