Channel impulse response‐based source localization in a diffusion‐based molecular communication system

Abstract

Molecular source localization finds its applications in future healthcare systems, including proactive diagnostics. This work localizes a molecular source in a diffusion based molecular communication (DbMC) system via a minimal set of passive anchor nodes and a fusion center. Two methods are presented which both utilize (the peak of) the channel impulse response measurements to uniquely localize the source, under the assumption that the molecular source of interest lies within the open convex‐hull of the sensor/anchor nodes. The first method is a one‐shot, triangulation‐based approach which estimates the unknown location of the molecular source using least‐squares method. The second method is an iterative approach, which utilizes the gradient‐descent control law to minimize a non‐convex cost function. The corresponding Cramer‐Rao bound (CRB) is also derived. Simulation results reveal that: (a) the gradient‐descent method outperforms the triangulation method (in terms of mean squared error performance) for a wide range of values of signal‐to‐noise ratio; (b) the gradient‐descent method converges to the true source location uniformly (in less than 100 iterations).

Abnormality Detection and Localization Schemes Using Molecular Communication Systems: A Survey

“…Typically, multiple (a network of) sensors are used to localize the abnormality [12], [55], [56]. The MC-based localization methods using stationary sensors are mainly based on i) classification, ii) discrete models, and iii) continuous models [12].…”

“…In [56] a localization method using the peak of the channel impulse response is proposed employing multiple sensing nodes and an FC with transparent stationary receivers. The sensors report the measurements to the FC for further processing.…”

Detection of Incoherent Signal In Molecular Communication Based on Channel Impulse Response

“…Where, D is the distance between Tx and Rx, D is the diffusion coefficient related to temperature and medium viscosity, V is the liquid flow rate in the channel (such as the blood flow rate in the blood vessel), and is the reaction attenuation index (information molecules are catalyzed by enzymes to react with other molecules and thus the number of information molecules decreases). [5][6][7] 2) Active receiving model Compared with the passive receiving model, in the active receiving model, Rx is an active absorber with a large number of receptors on its surface. Once the information molecules reach Rx, they will bind to the receptor and be removed from the environment, becoming a part of the received signal recognized by Rx.…”