Performance analysis of mobile adaptive networks in VLC multiplicative SPAD channel noise conditions

Abstract

Mobile diffusion adaptive networks are distributed sensor networks used for tracking and localization. They are considered as the network of several mobile nodes which are able to perform target localization by sharing their information among their neighboring nodes. Due to their low computational costs, they have found many applications. However, there are some hindering problems and disturbances preventing their smooth operation particularly for mobile networks. Among them, the link noise during data exchange between the nodes can have significant impact on the network performance, causing a large convergence error. Therefore, detailed and precise investigation of noise model and its impact on the mobile networks becomes important. In this paper the challenging case of multiplicative noise for a visible light communication (VLC) has been modeled, implemented, and the performance of mobile adaptive network analyzed. This is achieved by using single photon avalanche diodes (SPADS) for node communications within the mobile diffusion adaptive networks. The results show a completely different performance of the network compared with the case of additive noises.