There are 3 sensor nodes. Every 1s, Node A transmits a very small packet to node B. Node C does not send or receive any data. Assume that B-MAC is used. A receiver wakes up every 250ms to sample the channel for 5ms. The transmission/reception/listening and sleep states draw 10mA and 0.1mA respectively. You can ignore the energy consumed by the transmission/reception of the data and ACK packets. Calculate the average current drawn (in mA) by nodes A, B and C.
Quantization and Resolution
Quantization is a methodology of carrying out signal modulation by the process of mapping input values from an infinitely long set of continuous values to a smaller set of finite values. Quantization forms the basic algorithm for lossy compression algorithms and represents a given analog signal into digital signals. In other words, these algorithms form the base of an analog-to-digital converter. Devices that process the algorithm of quantization are known as a quantizer. These devices aid in rounding off (approximation) the errors of an input function called the quantized value.
Probability of Error
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There are 3 sensor nodes. Every 1s, Node A transmits a very small packet to node B. Node C does not send or receive any data. Assume that B-MAC is used. A receiver wakes up every 250ms to sample the channel for 5ms. The transmission/reception/listening and sleep states draw 10mA and 0.1mA respectively. You can ignore the energy consumed by the transmission/reception of the data and ACK packets.
Calculate the average current drawn (in mA) by nodes A, B and C.
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