The nanonetworks paradigm can empower the consumers to make a difference to their well-being by connecting data to personalized analysis within timely insights. The real-time data can be used in a variety of nano-applications in the Internet of Nano-Things (IoNT), from preventive treatment to diagnostics and rehabilitation. IoNT introduces significant challenges as well as opportunities for wearable sensor-based big data analysis research. Traditional algorithms do not offer flexibility to handle such large volumes of diverse data, and this creates a need for proper mechanisms for data analysis to be able to keep up with the managing, processing, and response requirements along with the data reliability. Moreover, when the ultra-dense heterogeneous networks involved in the emerging cloud-based IoNT paradigm are considered, it is expected to encounter challenges in terms of spectrum sharing and management due to the scarcity of spectral resources. In turn, these challenges introduce the need for special care while sharing the communication medium and efficient ways of energy harvesting. This chapter focuses on the challenges introduced and strategies to be considered while dealing with these issues.