Throughput Optimization in Flow-Guided Nanocommunication Networks

Abstract

Flow-guided nanocommunication networks comprise a new paradigm that enables among other things, new medical applications for monitoring, information gathering, and data transmission inside the human body. Although promising, this type of network is conceived to operate in a very hostile environment (e.g. blood circulatory system) where nano-node mobility, along with reduced coverage hinder successful transmissions. In addition to these concerns, it is necessary to take into account the scarce amount of energy available in nano-nodes and the important limitations to harvesting energy. Thus, it is essential to carefully select network parameters to tailor network design and improve performance or satisfy specific application requirements and objectives. To this end, this paper presents an optimization framework to maximize throughput by selecting the appropriate frame size as a function of the available energy, nano-router location, and transmission rate. This optimization is conducted for different scenarios where the study can reveal whether a general setup that can work in almost all situations is desirable or, depending on the application, a pre-setting customization of network parameters before deployment is more advantageous in terms of performance. Maximizing throughput ensures information transmission and establishes the maximum amount of data that a nano-router can receive. These two questions are critical for the development of reliable medical applications that can operate within the capabilities that flow-guided nano-networks can offer. Thus, the main technical contributions of this paper are: i) the extension of the flow-guided nano-network analytical model, and ii) the derivation of a throughput optimization framework for this type of networks, which provides a suitable frame size as a function of different network parameters such as flow velocity, nano-router location, and transmission power. INDEX TERMS flow-guided nano-networks, nanocommunications, optimization

Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective

“…In contrast to the other promising application domains discussed in this work, for in-body communication there are several recent efforts targeting the derivation of network requirements for only certain applications in the domain. In this direction, the interested reader is referred to [94], [95], where the authors derive the achievable throughput as a function of various network parameters such as transmission rate and nanonodes' available energy. The work was carried out assuming flow-guided nanonetworks (i.e., the ones operating in the blood circulatory system).…”

Magic of 5G Technology and Optimization Methods Applied to Biomedical Devices: A Survey

“…The used antenna is with two independent broadside radiating modes and the results present the turn-on powers (P to (dBm)) with the differential power (∆P to ) that the chip is attached to different parts of the body such as the chest, forehead, abdomen, and hand, where the antenna is within a distance of 50 cm from the body. In [54], a new flow-guided nano-communication network was presented that can be used in up-to-date medical applications to monitor, collect, and transmit various data from the human body (Figure 15). This network can be operated in the bold circulatory system.…”

Nanorouter Awareness in Flow-Guided Nanocommunication Networks

“…Flow-guided nanocommunication network model has been extensively presented in previous works [6]- [10]. A summary of all the variables used in this paper is given in Table I.…”