Securiy Analysis for Data and Aggregation in Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) have revolutionized the way data is collected and newlineprocessed in various fields such as healthcare, military surveillance, industrial newlineautomation, smart agriculture, and environmental monitoring. These networks consist of newlinedistributed sensor nodes that communicate wirelessly to monitor and analyse physical newlineconditions such as temperature, pressure, humidity, and motion. Despite their widespread newlineadoption, WSNs face significant challenges related to limited energy resources, security newlinevulnerabilities, and inefficient data aggregation. The dynamic nature of WSNs, coupled newlinewith the constrained computational and battery capacities of sensor nodes, makes it newlinedifficult to ensure long-term network sustainability and secure communication. newlineAddressing these challenges is essential to improve the reliability and efficiency of realtime newlineWSN applications. newlineOne of the most pressing issues in WSNs is energy consumption, as sensor nodes are newlinetypically battery-powered and deployed in remote or inaccessible locations. Unoptimized newlinedata transmission results in high energy depletion, reducing the overall lifespan of the newlinenetwork. Additionally newline