چكيده به لاتين
Wireless Nano Sensor Networks have many applications in medical and health-care. One of these applications is lung health monitoring. In this application, a number of nanomachines are deployed in the lung, measuring vital parameters and transmitting them to a data collector node. In this application, the conditions of the communication channel fluctuates according to the respiratory cycle. This fluctuation causes the quality of the transmission channel to fluctuate. The traditional medium access control (MAC) protocols do not consider the channel quality fluctuations so, at sometimes when channel quality is poor, nanomachines send their data. At this time, in order to have successful transmission, the transmission power must be increased, which will consume more energy from nanomachines. In this thesis, by predicting desirable channel quality intervals, called sweet spots, a smart MAC protocol is proposed that only allocates the channel to nanomachines in sweet spots. As a result, the fairness in channel allocation will increase because all nodes are will transmit their data in the same channel quality. Therefore, the required power to successfully transmit the data would be decreased. The proposed protocol is simulated in MATLAB. The extensive simulation, reveals that the proposed protocol optimizes the fairness parameter by 20% compared to the traditional methods. In addition, the average required transmission power is reduced by a factor of 40. The overall throughput of the proposed protocol is less than traditional MAC protocol but it is around 25% better during the sweet spots.
