This paper proposes a leader-follower-based model of mobile molecular communication networks for target detection applications. The proposed model divides the application functionalities of molecular communication networks into two types of mobile bio-nanomachine: leader and follower bio-nanomachines. Leader bio-nanomachines distribute in the environment to detect a target and create an attractant gradient around the target. Follower bio-nanomachines move according to the attractant gradient established by leader bio-nanomachines; they approach the target and perform necessary functionalities, such as releasing drug molecules. This paper develops mathematical expressions for the proposed model, describes wet laboratory experiments designed to estimate model parameters, and performs biologically realistic computer simulation experiments to evaluate the performance of the proposed model. The main contributions of this paper are to demonstrate the functional division of molecular communication networks, which will facilitate the design and development of molecular communication networks. Furthermore, insight into the application-level performance of molecular communication networks will be provided based on the proposed model.

Calibration for servomotors is widely applied in various fields, especially in robot control and factory automation. Because the real time response to system control feedbacks is a compulsory characteristic for calibration for servomotor, a hardware structure with quick response characteristic needs to be implemented to replace the software. The goal is to prevent the servomotors from out of control. In this paper, a calibration control feedbacks system with remote monitoring features and parametric designs can be built rapidly through FPGA. Users can configure the number of axis and proportional integration derivative (PID) parameters by themselves with any other servomotors. Using Internet or LAN to realize the remote calibration control for servomotor system is also achievable.