| Abstrakt: |
Wireless Sensor Networks (WSNs) have been increasingly popular in recent years for various applications in the real world, like tracking, monitoring, transportation, military, and healthcare. As a result, maintaining the sensor node's lifetime is critical in WSNs. The battery's energy is the most important part of the sensor nodes, influencing the WSN's lifespan. Because the sensor nodes are powered by a limited battery, energy conservation is critical. At sensor nodes, energy is required for several tasks, including data reception and transmission, data processing, sensing, and so on. Data transmission consumes the greatest energy of all of them, although data processing consumes significantly less. As a result, reducing the amount of data communication (transmitting and receiving) is crucial to conserving energy and extending the lifetime of WSNs.DABOEP Data aggregation based on Extrema Point is proposed in this paper, which works at the sensor node level. Data collection, data aggregation, and data transmission are the three stages of the suggested techniques' operation periodically. The goal of these techniques is to reduce the size of transmitted data by aggregating sensed redundant data before transmitting to the base station (BS), reducing the amount of energy consumed and thus extending the network lifetime while maintaining an acceptable level of accuracy for the data received at the BS. Extensive simulation experiments are used in the evaluation of suggested techniques. When compared to the flat network (normal case), the suggested technique reduces the quantity of data left by 77%–90%. Energy consumption is reduced by 78%–99%. The ratio of lost data is ranging between (1.11%-9.01%) and the amount of data sent by 96.551% to 98.424%. [ABSTRACT FROM AUTHOR] |
