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Poisson Arrivals See Time Averages (PASTA) for Channel Modeling in Wireless Sensor Networks
Abstract
Wireless Sensor Network (WSN) is a distributed, self- organized network of small, energy-constrained, wireless nodes. These nodes send the information to Base Station (BS). There are number of factors affecting the design of the WSN. These factors are: power consumption, hardware limitations, scalability, and data delivery. Those factors affect on the total throughput and efficiency of the system. The power consumption and data delivery problem can be slove by designing of clustering and routing algorithm. To provide appropriate level of reliability and quality of service the best solution is WSN with single hop network using one single frequency. For modeling of WSNs channel Poisson Arrivals See Time Averages (PASTA) is used. The PASTA is stated as observation made by system at particular time instant, obeying Poisson process. The output is averaged and gives true value; therefore, system is continuously monitoring over the time. PASTA is applied to the system to measures true delay distribution in the network.
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References
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