Energy-Efficient Routing Protocols in Wireless Sensor Networks a Comprehensive Survey and Future Directions
Wireless Sensor Networks (WSNs) play a crucial role in modern communication systems, enabling real-time data collection and transmission in various applications, including environmental monitoring, healthcare, and smart cities. However, energy efficiency remains a significant challenge due to the limited power resources of sensor nodes. While numerous studies have explored energy-efficient routing protocols, they often rely on theoretical models and simulations, neglecting real-world deployment constraints. This research presents a comprehensive survey and future directions for energy-efficient routing in WSNs, addressing key limitations found in existing studies. Unlike previous works, this study integrates real-time implementation, security-aware routing mechanisms, AI-driven optimization techniques, and cross-layer energy management strategies to enhance efficiency and scalability. Furthermore, it evaluates the adaptability of routing protocols in dynamic, large-scale, and mobile WSN environments, ensuring fault tolerance and sustainability. By incorporating emerging technologies such as 5G, IoT, and blockchain-based solutions, this study provides a future-proof, practical framework for next-generation WSNs. The findings and recommendations in this research contribute to the development of robust, energy-efficient, and intelligent WSN routing protocols for diverse real-world applications.
Authors
- S. Don
- Syed Zahidur Rashid
- Suresh Kumar (ORCID: https://orcid.org/0000-0001-8859-3653)
- B Karthik
- Sabitha Valaboju
- P. Kavitha
Institutions
- International Islamic University Chittagong (BD)
- P.V. Narsimha Rao Telangana Veterinary University (IN)
- Shri Sathya Sai Medical College and Research Institute (IN)
- Salem College (US)
- Saveetha University (IN)
- Bharath University (IN)
Publication Details
- Journal
- ITM Web of Conferences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/itmconf/20257603007
- Citations
- 3
- Primary Topic
- Energy Efficient Wireless Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 4.46