An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication

TL;DR

This paper introduces an energy-efficient routing scheme for wireless nanosensor networks in biomedical applications, addressing energy constraints and channel challenges to improve communication reliability and efficiency.

Contribution

It proposes a novel energy-efficient forwarding routine with hybrid clustering, channel modeling, and energy harvesting considerations for nanocommunications over Terahertz bands.

Findings

Maximized energy utilization in single and multihop communication

Enhanced link quality through multisensor fusion

Improved outage capacity and probability performance

Abstract

Current developments in nanotechnology make electromagnetic communication (EC) possible at the nanoscale for applications involving Wireless [Body] Sensor Networks (W[B]SNs). This specialized branch of WSN has emerged as an important research area contributing to medical treatment, social welfare, and sports. The concept is based on the interaction of integrated nanoscale machines by means of wireless communications. One key hurdle for advancing nanocommunications is the lack of an apposite networking protocol to address the upcoming needs of the nanonetworks. Recently, some key challenges have been identified, such as nanonodes with extreme energy constraints, limited computational capabilities, Terahertz frequency bands with limited transmission range, etc., in designing protocols for wireless nanosensor networks (WNN). This work proposes an improved performance scheme of nanocommunication over Terahertz bands for wireless BSNs making it suitable for smart e-health applications. The scheme contains -- a new energy-efficient forwarding routine for EC in WNN consisting of hybrid clusters with centralized scheduling, a model designed for channel behavior taking into account the aggregated impact of molecular absorption, spreading loss, and shadowing, and an energy model for energy harvesting and consumption. The outage probability is derived for both single and multilinks and extended to determine the outage capacity. The outage probability for a multilink is derived using a cooperative fusion technique at a predefined fusion node. Simulated using a Nano-Sim simulator, performance of the proposed model has been evaluated for energy efficiency, outage capacity, and outage probability. The results demonstrate the efficiency of the proposed scheme through maximized energy utilization in both single and multihop communication, multisensor fusion enhances the link quality of the transmission.