Exploiting Temporal Correlation Mechanism for Designing Temperature-Aware Energy-Efficient Routing Protocol for Intrabody Nanonetworks

Abstract

An Intrabody Nanonetwork (IBNN) is composed of integrated nanoscale devices, implanted inside the human body to collect diagnostic information and tuning medical treatments. The non-invasive continuous monitoring and precision of these nanoscale devices in the diagnostic of diverse diseases is improving advanced monitoring, therapeutic, and telemedicine services. The unique feature constraints of these nanoscale devices (such as inadequate energy, storage, and computational resources) along with the molecular absorption thermal challenges due to Electromagnetic (EM) communication in the Terahertz band (THz) are the primary limitations in enabling efficient routing in IBNNs. Our proposed protocol explicitly addresses these challenges and proposes a routing scheme, which enables temperature-aware energy-efficient data transmission to avoid hotspot formation and controlled energy consumption. Furthermore, our proposed temporal correlation based data decision approach allows only those Nano Bio Sensors (NBSs) to transmit the periodic data packets that have updated information for avoiding unnecessary energy consumption and antenna radiation exposure on biological cells. The presented work also considers the instant data retrieval requirement of the healthcare system and introduces an on-demand data retrieval approach that ensures instant transmission of updated information to the healthcare system. The effectiveness of our proposed scheme is evaluated by comparing it with the flooding scheme and thermal-aware routing algorithm (TARA) using the Nano-SIM tool. The results obtained from extensive simulations validate that our proposed protocol achieves 75% - 85 % low temperature rise and improved network lifetime.

Keywords

• Energy-efficient
• intrabody nanonetworks
• molecular absorption noise
• routing protocol
• terahertz
• temperature-aware