Frequency band selection and channel modeling for WNSN applications using simplenano

With the discovery of Graphene, different nano-scale components can be integrated to form a nano-sensor capable of transmitting in the tera-hertz range (0.1-10 THz). The transmitted signal gets attenuated when it passes through different types of molecules. Thus, channel models for wireless nano sensor networks (WNSN) are environment specific. For most of the applications, the nano-sensors are placed inside the human body, which may interact with other nano-sensors (inside the body) and other non nano-scale devices (outside the body). We present SimpleNano, a simple and novel channel model for WNSN applications in the tera-hertz range. SimpleNano is an approximation to log-distance path loss model along with the random (log-normally distributed) attenuation caused by the molecular absorption. For certain band windows within terahertz range SimpleNano experiences low molecular noise. These different band windows have been compared for a novel capacity performance metric i.e. spatial capacity per Hertz and the results prove that the proposed band windows achieve better throughput than the ones with larger molecular noise.