IOT Quality of Service Based in Link Channel Optimization in Wireless Sensor Networks

Minimum Power transmission is one important issues in wireless ad hoc and sensor networks (WSN), considered an important item at Internet of Things solutions. In this document, we show the optimal energy that requires a wireless channel link for has the best link condition, and thus, better quality of the signal constraint given by the minimum bit error rate (BER). With computer simulation support and building network environmental, we do a study of different radio frequency elements in wireless communications such propagation models and bit error rate according to signal noise ratio. The proposed improvement includes control channel power assignment suitable and minimum bit error rate requires on defining the number of bits sent. In this work, we develop an experimental characterization and validate our design of mathematical model with different technologies used and over a wide range of network conditions by deploying a real-world environmental monitoring application with multi-point network measurement signals that guarantee the quality of service as packet delivery rate, throughput, latency, and energy consumption.