Abstract—WSNs are employed extensively in a broad spectrum of fields, including surveillance, healthcare, and ecological monitoring. As WSNs are frequently deployed in harsh and distant areas where maintenance is challenging or impossible, reliability is a critical component. Therefore, it's critical to create WSNs that are dependable and efficient even under challenging circumstances. In this project, we suggest using Dijkstra's method to increase the WSNs' dependability. A renowned graph-based approach for determining the shortest path across two points in a network is called Dijkstra's algorithm. With the aid of this method, we can improve the energy efficiency and longevity of WSNs by optimizing their routing patterns. To increase the dependability of WSNs, we will additionally be looking at preventive strategies. The tactics used in these preventative strategies will include redundancy, fault-tolerance, and error correction. By putting these strategies into practice, we can stop network failures from happening and make sure it keeps working even in challenging circumstances. To determine the success of the suggested strategy, simulations will be used, and the results will be compared to those of other current routing protocols. The outcomes of this study will be beneficial for creating dependable WSNs which can be employed in a variety of scenarios.

Keywords—WSNs, Dijkstra’s method, routing patterns, dependability, shortest path, longevity, and energy efficient.

| DOI: 10.17148/IARJSET.2023.10540