Optimization of Detection Interval for Mobile Multiuser Molecular Communication With Anomalous Diffusion in Internet of Nano Things

Zhen Cheng, Jie Sun, Zhichao Zhang, Ming Xia, Kaikai Chi

Abstract: The Internet of Nano Things (IoNT) as an innovative technology which integrates nanotechnology and communication technology involves the use of nanomachines to create systems that can interact with each other. IoNT provides possibilities for applications in many fields, i.e., drug delivery, healthcare, and environment monitoring. It promotes the development of molecular communication (MC) and nanonetworks. In this article, a mobile multiuser MC system where multiple transmitters and one receiver move in the anomalous diffusion channel is studied. First, the molecular division multiple access technique where multiple transmitters convey information by delivering different types of information molecules is employed. The mathematical expression of the average bit error rate (BER) of this MC system is derived. Then we formulate a multiobjective optimization problem with the constraint that the detection interval has lower and upper bounds in order to achieve minimum average BER of this system. Furthermore, we use the alternative search algorithm with gradient projection to solve this optimization problem and obtain the optimal detection interval. Finally, numerical results show this algorithm has good convergence and the optimization results can be approximate to the optimal solutions obtained by the exhaustive search.