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WSNs are vital in a variety of applications, including environmentalmonitoring, industrial process control, and healthcare. WSNs are a network ofspatially scattered and dedicated sensors that monitor and record the physicalconditions of the environment.Significant obstacles to WSN efficiency includethe restricted power and processing capabilities of individual sensor nodes andthe issues with remote and inaccessible deployment sites. By maximising powerutilisation, enhancing network effectiveness, and ensuring adaptability anddurability through dispersed and decentralised operation, this study suggests acomprehensive approach to dealing with these challenges. The suggestedmethodology involves data compression, aggregation, and energy-efficientprotocol. Using these techniques, WSN lifetimes can be increased and overallperformance can be improved. In this study we also provide methods to collectdata generated by several nodes in the WSN and store it in a remote cloud suchthat it can be processed and analyzed whenever it is required.

A Zigbee Based Cost-Effective Home Monitoring System Using WSN