Performance Analysis of Wireless Sensor Networks for Smart Monitoring Applications
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Abstract
Wireless Sensor Networks (WSNs) have become a key enabling technology for smart monitoring applications because of their capabilities of collecting and communicating the sensed information in real time and monitoring remotely. These networks are made up of distributed sensor nodes that can work cooperatively to sense, process and relay information from environments they are monitoring. Recently the WSNs have been used in various environmental monitoring and air quality measurement applications, industrial automation and smart grid systems, so that the growing demand is to test the performance of WSNs in various deployment scenarios. This study is a performance analysis to demonstrate and study the important performance indices for Wireless sensor network based Smart monitoring applications such as Packet delivery ratio, Throughput, End to End delay, Energy consumption, Network lifetime and scalability. Further, the effect of communication protocols, network architectures, and energy management techniques on overall network efficiency are analyzed. Based on the comparative analysis, it was found that the choice of protocols and the deployment topology as well as power conservation mechanisms will have a significant effect on the network reliability and sustainability. The results show that an optimized use of communication schemes together with a communication routing optimization and an adaptive network design can benefit the performance within smart monitoring environments. Based on the study, the author concludes that regular performance evaluations are crucial in creating effective, reliable and scalable wireless sensor network solutions that can be used for a variety of monitoring tasks.
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