Abstract

Internet of remote things (IoRT) networks are regarded as an effective approach for providing services to smart devices, which are often remote and dispersed over in a wide area. Due to the fact that the ground base station deployment is difficult and the power consumption of smart devices is limited in IoRT networks, the hierarchical Space-Air-Ground architecture is very essential for these scenarios. This paper aims to investigate energy efficient resource allocation problem in a two-hop uplink communication for Space-Air-Ground Internet of remote things (SAG-IoRT) networks assisted with unmanned aerial vehicle (UAV) relays. In particular, the optimization goal of this paper is to maximize the system energy efficiency by jointly optimizing sub-channel selection, uplink transmission power control and UAV relays deployment. The optimization problem is a mix-integer non-linear non-convex programming, which is hard to tackle. Therefore, an iterative algorithm that combines two sub-problems is proposed to solve it. First, given UAV relays deployment position, the optimal sub-channel selection and power control policy are obtained by the Lagrangian dual decomposition method. Next, based on the obtained sub-channel allocation and power control policy, UAV relays deployment is obtained by successive convex approximation (SCA). These two sub-problems are alternatively optimized to obtain the maximum system energy efficiency. Numerical results verify that the proposed algorithm has at least 21.9% gain in system energy efficiency compared to the other benchmark scheme.

Highlights

  • In recent years, with the emergence of smart devices such as wearable devices and various types of sensor nodes, the concept of the Internet of Things (IoT) has captured public attention

  • We propose a hierarchical space-air-ground Internet of remote Things (SAG-Internet of Remote Things (IoRT)) architecture consisting of satellites, unmanned aerial vehicle (UAV) relays and smart devices

  • This paper proposes a resource allocation problem of SAG-IoRT networks for optimized sub-channel selection, power control and UAV relay deployment for maximizing system energy efficiency

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Summary

Introduction

With the emergence of smart devices such as wearable devices and various types of sensor nodes, the concept of the Internet of Things (IoT) has captured public attention. In IoT networks of different scenarios, there are a large number of widely deployed smart devices. Smart devices are densely deployed in urban scenes such as the Internet of Vehicles (IoV). Smart devices are distributed in remote areas to monitor or sense that cannot be served by ground access networks such as deserts, forest and oceans. IoT networks in this case are called Internet of Remote Things (IoRT) networks [1].

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