Evolution of Routing Protocols in Wireless Sensor Networks Considering Challenges Advances and Drone-Assisted Innovations
Abstract
Wireless Sensor Networks have been utilized in a variety of fields, including environmental monitoring, agriculture, and disaster management. In view of the limited energy resources of WSNs, energy-efficient routing can significantly help in enhancing the WSN performance regarding energy conservation, reliability, and scalability. This survey explains appealing features of WSNs, addressing routing protocols along their usage constraints and performance expectations, considering first the traditional ones, and then the drone-based methods that are seen as a novel solution for many of the weaknesses of current practices, especially in wide and remote areas. Drones, or Unmanned Aerial Vehicles (UAVs), overcome challenges such as gaps in coverage, energy restrictions, and network growth by offering mobility and adjustability. Drones function as effective mobile data gathering and transmission devices, improving the network performance in a dynamic and massive environment. This survey investigates recent advances in WSN routing protocols, presents emergent problems including energy preservation, delay, and safety issues, and explains how the integration of drones solved most of these problems. Finally, the study presents future trends and the residual challenges for drone-based routing, from different routing features, connectivity, energy efficiency, control of the topology, and security.
Downloads
References
Downloads
Published
Data Availability Statement
data available upon request
Issue
Section
Categories
License
Copyright (c) 2026 Computational Discovery and Intelligent Systems (CDIS)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Computational Discovery and Intelligent Systems (CDIS) content is published under a Creative Commons Attribution License (CCBY). This means that content is freely available to all readers upon publication, and content is published as soon as production is complete.
Computational Discovery and Intelligent Systems (CDIS) seeks to publish the most influential papers that will significantly advance scientific understanding. Selected articles must present new and widely significant data, syntheses, or concepts. They should merit recognition by the wider scientific community and the general public through publication in a reputable scientific journal.



