WSNs are vital in a variety of applications, including environmental monitoring, industrial process control, and healthcare. WSNs are a network of spatially scattered and dedicated sensors that monitor and record the physical conditions of the environment.Significant obstacles to WSN efficiency include the restricted power and processing capabilities of individual sensor nodes and the issues with remote and inaccessible deployment sites. By maximising power utilisation, enhancing network effectiveness, and ensuring adaptability and durability through dispersed and decentralised operation, this study suggests a comprehensive approach to dealing with these challenges. The suggested methodology involves data compression, aggregation, and energy-efficient protocol. Using these techniques, WSN lifetimes can be increased and overall performance can be improved. In this study we also provide methods to collect data generated by several nodes in the WSN and store it in a remote cloud such that it can be processed and analyzed whenever it is required.

翻译：无线传感器网络在环境监测、工业过程控制和医疗保健等多种应用中至关重要。WSN是由空间分布且专用的传感器组成的网络，用于监测和记录环境的物理状况。限制WSN效率的主要障碍包括单个传感器节点的有限电源和处理能力，以及远程和难以部署的位置带来的问题。本研究通过最大化电源利用、增强网络有效性，并通过分布式和去中心化操作确保适应性和耐久性，提出了一种应对这些挑战的综合方法。建议的方法包括数据压缩、聚合和节能协议。通过这些技术，可以延长WSN的寿命并提高整体性能。在本研究中，我们还提供了收集WSN中多个节点生成的数据并将其存储在远程云中的方法，以便在需要时进行处理和分析。