Performance evaluation of Wireless Nanosensor Networks under interference

Nanonetworks are enhancing the long awaited claims of nanotechnology in many fields of our society. In continuum, Wireless Nanosensor Network (WNSN) is a key enabler for intra-body surveillance which in turn guaranteed accurate targeted drug delivery systems. The purpose of this manuscript is to present a novel model for WNSN under interference limited scenario and thereby to analyze various important performance measures and their improvements. In the analysis Poisson Point Process (PPP) is considered to represent the spatial distribution of multiple nanosensors within the cluster, whereas alpha-stable process is considered to represent the aggregate power of interferers. However, in particular, this manuscript presents novel analytical expressions of Outage Probability (OP), Bit Error Rate (BER) and Average Capacity (AC) of WNSN in presence of interference. In addition, Selection Combining (SC) scheme is employed to mitigate the effect of impairments. Finally, effect of various parameters such as spatial density of nanosensors nodes(lambda), SNR of interferers (gamma(I)), outage threshold (xth) and path loss exponent (v) is investigated. The results show that OP and BER increase with an increase in lambda or gamma(I) and vice versa. Whereas, AC increases with an increases in lambda but it decreases with an increases gamma(I). Moreover, Simulated results show perfect agreement with the theoretical backgrounds. (C) 2020 Elsevier B.V. All rights reserved.