Implantable Antenna Design Using Improved Grey Wolf Optimizer Algorithm

Medical implanted sensors coupled with antennas are sought in order to wirelessly transmit crucial health info and operate in a complex environment. Such antennas need to operate in a lossy environment, be robust when embedded in various body types, do not interact with the device electronics, and have very small physical sizes. To satisfy conflicting requirements multiple geometrical parameters should be tuned. While physical insight is always needed, optimization is the key factor for a successful design. Towards this goal, unconventional design techniques like evolutionary algorithms can be used. In this paper, we apply the improved grey wolf optimizer (IGWO) for implantable antenna design.