A Multi-Layer Feedback System Approach to Resilient Connectivity of Remotely Deployed Mobile Internet of Things
Muhammad Junaid Farooq, Quanyan Zhu

TL;DR
This paper introduces a feedback-driven, adaptive multi-layer network framework that enhances resilient connectivity for remote IoT deployments, reducing the need for aerial base stations while maintaining high coverage and reliability.
Contribution
It presents a novel self-configurable and resilient overlay network framework that dynamically adapts to network changes, addressing limitations of existing UAV placement strategies.
Findings
Requires fewer aerial base stations for coverage
Achieves higher connectivity and reliability
Adapts to network dynamics and failures
Abstract
Enabling the Internet of things in remote environments without traditional communication infrastructure requires a multi-layer network architecture. Devices in the overlay network such as unmanned aerial vehicles (UAVs) are required to provide coverage to underlay devices as well as remain connected to other overlay devices to exploit device-to-device (D2D) communication. The coordination, planning, and design of such overlay networks constrained by the underlay devices is a challenging problem. Existing frameworks for placement of UAVs do not consider the lack of backhaul connectivity and the need for D2D communication. Furthermore, they ignore the dynamical aspects of connectivity in such networks which presents additional challenges. For instance, the connectivity of devices can be affected by changes in the network, e.g., the mobility of underlay devices or unavailability of overlay…
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