Enhancing the Reliability and Efficiency in WSNs
Year: 2025
Type: article
Abstract: The emergence of the Internet of Things (IoT) and Wireless Sensor Networks (WSN) has accelerated the process of collecting and combining data, making it a central focus of technological progress and influencing the interconnected nature of modern digital ecosystems. This research synopsis explores the crucial role of data aggregation in enhancing the efficiency and durability of these networks, highlighting its importance in response to changing challenges. Data aggregation in the context of IoT and WSN has two main benefits: it helps conserve energy resources by using them efficiently, and it reduces the heavy burden of transmitting large amounts of data. With the growing prevalence of IoT applications and the expanding use of WSNs in various sectors such as environmental monitoring, healthcare, and industrial automation, the effective implementation of data aggregation becomes crucial. It not only guarantees the dependability and accuracy of gathered data but also improves the overall effectiveness of these complex networks. This research synopsis aims to offer a thorough overview of the present status of data aggregation in WSN and IoT within the framework of dynamic digital transformation. The exploration covers a wide range of research papers that discuss various topics, including energy-efficient routing schemes, fault tolerance mechanisms, security considerations, optimization methodologies, and data compression techniques. This research has multiple objectives. Firstly, the objective is to perform a comprehensive survey of the existing data aggregation protocols, with the aim of providing insights into the current cutting-edge practices in this field. Secondly, the goal is to develop and assess scalable data aggregation methods that can effectively handle data in extensive IoT and WSN setups. Furthermore, to investigate the advancement of resilient data security and privacy mechanisms, ensuring the protection of sensitive information in IoT applications. The objective is to examine and apply data aggregation protocols that are conscious of Quality of Service (QoS), designed to meet specific demands for latency and reliability in various application fields. Finally, in order to develop flexible data aggregation solutions that can be adjusted to meet the specific requirements of different IoT and WSN applications, enabling smooth integration across different domains. This research summary functions as a guiding principle, condensing insights from notable contributions in the field. Through the analysis of emerging patterns, challenges, and possibilities, the goal is to inspire and inform future research endeavors. Researchers and practitioners will discover valuable insights to guide their decisions in creating, implementing, and improving data aggregation protocols in the ever-changing fields of WSN and IoT.
Authors: Mr. Vijaysinh U. Bansude, Dr. Rahul Kumar Budania, Dr. Shrinivas T. Shirkande
Institution: Shri Jagdishprasad Jhabarmal Tibrewala University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930735674
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