Optimal Haptic Communications over Nanonetworks for E-Health Systems

Feng, Li, Ali, Amjad, Iqbal, Muddesar, Bashir, Ali K, Hussain, Syed Asad and Pack, Sangheon (2019) Optimal Haptic Communications over Nanonetworks for E-Health Systems. IEEE Transactions on Industrial Informatics, 15 (5). pp. 3016-3027. ISSN 1551-3203

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Official URL: https://ieeexplore.ieee.org/document/8657743

Abstract

A Tactile Internet-based nanonetwork is an emerging field that promises a new range of e-health applications, in which human operators can efficiently operate and control devices at the nanoscale for remote-patient treatment. A haptic feedback is inevitable for establishing a link between the operator and unknown in-body environment. However, haptic communications over the terahertz band may incur significant path loss due to molecular absorption. In this paper, we propose an optimization framework for haptic communications over nanonetworks, in which in-body nanodevices transmit haptic information to an operator via the terahertz band. By considering the properties of the terahertz band, we employ Brownian motion to describe the mobility of the nanodevices and develop a time-variant terahertz channel model. Furthermore, based on the developed channel model, we construct a stochastic optimization problem for improving haptic communications under the constraints of system stability, energy consumption, and latency. To solve the formulated nonconvex stochastic problem, an improved time-varying particle swarm optimization algorithm is presented, which can deal with the constraints of the problem efficiently by reducing the convergence time significantly. The simulation results validate the theoretical analysis of the proposed system.

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	07 May 2019 09:43
Publisher:	Institute of Electrical and Electronics Engineers
Additional Information:	"(c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."
Divisions:	Faculties > Science and Engineering
Subject terms:	Science & Technology, Technology, Automation & Control Systems, Computer Science, Interdisciplinary Applications, Engineering, Industrial, Computer Science, Engineering, 5G, e-health, energy harvesting, haptic communication, nanonetwork, stochastic optimization, tactile Internet, RESOURCE-ALLOCATION, OPTIMIZATION, IDENTIFICATION, CHANNEL, SCHEME, MODEL, 08 Information and Computing Sciences, 09 Engineering, 10 Technology, Electrical & Electronic Engineering
URI:	https://e-space.mmu.ac.uk/id/eprint/622896
DOI:	https://doi.org/10.1109/tii.2019.2902604
ISSN	1551-3203
e-ISSN	1941-0050

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