A Cluster-Based Spectrum Allocation Method for Interference Mitigation of Multiple WBANs

Wireless Body Area Network (WBAN) provides comfortable and reliable medical and non-medical applications for users by continuously sensing human data and information about the surrounding environment. WBANs may change the way people live everywhere in the foreseeable future which poses challenges in communication. In this paper, we proposed a clustering-based spectrum allocation method for large-scale body-domain networks aiming to mitigate co-channel interference when multiple users are involved, in which the algorithm uses a scheduling method that includes clustering and coloring algorithms to achieve optimal resource allocation when there is no infrastructure. The simulation results demonstrate that the proposed algorithm effectively promotes interference resistance of the network, minimizes the network delay and significantly improves the spectrum resource utilization.