Abstract
A Wireless Sensor Network is composed of hundreds or thousands of nodes that can be equipped with limited energy resources but can still be used over an extensive set of diverse applications such as environment monitoring, healthcare, homeland security, military surveillance, manufacturing, and industry automation. The physical layer parameter affects the performance of the network. In this circumstance, we analyze the best modulation scheme, and transmission approach to minimize the total energy consumption required to send a given number of bits. The total energy consumption includes both the transmission energy and the circuit energy consumption. The modulation schemes are compared based on their energy consumptions at their transmitting node. We consider hop distance estimation for latency analysis. The hop distance estimation used to find the minimum number of hops required to relay a packet from one node to another node in a random network by statistical method. From the minimum number of hops, we have calculated the energy consumption and latency. The statistical model is compared with two other linear models. The result obtained shows that, the statistical method yields a better result for all the performance parameters.
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