Routing Performances in Wireless Sensor Networks: Determining Shortest Path Algorithms Effectiveness
Wireless Sensor Networks (WSNs) play a pivotal role in a myriad of diverse fields, ranging from crucial healthcare applications to the creation of smart cities and effective environmental monitoring systems. Within the realm of WSNs, the feature of efficient routing assumes paramount importance as it exerts a profound influence on resource utilization and the overall performance of the network. In light of their remarkable efficiency and straightforwardness, shortest-path algorithms have emerged as a prevailing choice for routing mechanisms in WSNs. Hence, the primary objective of this specialized research is to understand a comprehensive investigation into the calculating performance of sensor network routing, with a particular circle on leveraging the potential of shortest-path algorithms. This ambitious effort will involve the establishment of a rigorous evaluation framework encompassing various performance metrics, enabling a meticulous assessment of the routing performance and the efficacy of the carefully selected algorithms. The culmination of this research holds tremendous significance, as it is poised to bestow invaluable insights into the practical implementation of WSNs. To attire with a comprehensive understanding of their performance across various scenarios and metrics, the research community can make informed decisions when choosing the most appropriate routing protocols suited to particular Wireless Sensor Network (WSN) deployments. The potential results of this research promise to not only improve the network's efficiency, reliability, and lifespan safe but also to pave the way for innovative applications of Wireless Sensor Networks in critical areas of societal significance.
Authors
- Kwang-Shik Min
- N. Jeyanthi
Publication Details
- Journal
- International journal of Computer Networks & Communications
- Published
- 2024-11-28
- DOI
- https://doi.org/10.5121/ijcnc.2024.16606
- Primary Topic
- Energy Efficient Wireless Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- VIT University