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Towards Optimized Connectivity in Health Internet of Things Device-to-Device Networks

Authors:
Oladayo Bello
Innocent Davidson

Keywords: Constraint based, Device-to-Device, Health Internet of Things, Optimization, Pareto vector.

Abstract:
The Health Internet of Things (HIoT) enables device to-device (D2D) communication among heterogeneous medical devices. However, optimal D2D connectivity is challenging due to traffic demand, the inherent environmental and device constraints. Prior works have characterized HIoT networks with single objective optimization models and either simplify or ignore device and environmental constraints, thus yielding poor scalability and limited practical value. Thus, this paper casts optimal HIoT D2D connectivity as a stochastic Multi-objective, Mixed-function and Mixed-constraint (MO-MF-MC) problem. An analysis of why the HIoT D2D network is fundamentally stochastic is presented. In addition, the paper presents and formalizes two views to model optimal D2D connectivity. These are the Constraint Based (CB) and the Pareto Optimal Vector (POV) perspectives. The paper supports POV as most suitable. The contributions of this paper are: (1) Analysis of the challenges of modeling optimal HIoT D2D connectivity (2) The formulation of the stochastic D2D optimal connectivity from CB and POV perspectives, (3) Justification of POV modeling for optimal D2D connectivity in HIoT. This work establishes the need for the design of lightweight, scalable, and adaptive protocols for sustainable, reliable real-time and optimal connectivity in HIoT D2D networks.

Pages: 20 to 27

Copyright: Copyright (c) IARIA, 2025

Publication date: September 28, 2025

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-68558-288-3

Location: Lisbon, Portugal

Dates: from September 28, 2025 to October 2, 2025