Abstract

The Internet of Things (IoT) can avail from device-to-device (D2D) communication techniques to increase object data exchange performance. IoT networks aim to offer a massive number of services at high quality levels, and many of the devices providing these services are mobile. Devices such as wearables, sensors, drones and smart vehicles need constant connectivity despite their moving patterns and therefore, an IoT architecture should consider both Quality of Service (QoS) and mobility. D2D allows devices to communicate directly to share content and functionality, such as access to the Internet. This paper proposes REMOS-IoT - A RElay and MObility Scheme for improved IoT communication performance in support of increased QoS for the data exchange services between mobile IoT devices. Simulation-based testing showed how performance of devices increased in several scenarios, demonstrating the efficiency of the proposed architecture and algorithms.

Highlights

  • The Internet of Things (IoT) is expected to reach 18 billion interconnected devices by 2022 [1]

  • This paper proposes the RElay and MObility Scheme for the Internet of Things (REMOS-IoT) which enhances the existing IoT architecture with algorithms which help under-performing devices and improve mobile IoT device connectivity performance

  • These algorithms consider diverse factors including distance between devices and smart gateways, and estimation of communication performance based on quality of service (QoS) metrics such as packet loss, delay and throughput

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Summary

INTRODUCTION

The Internet of Things (IoT) is expected to reach 18 billion interconnected devices by 2022 [1]. Its main goal is to analyze smart devices’ performance metrics and based on their values provide the best network connectivity by assigning the devices to optimal IoT smart gateways in the IoT network In this process REMOS-IoT achieves an increase of QoS for data exchange services between mobile IoT devices. The REMOS-IoT algorithms aim to improve the performance of communication by connecting devices to the best available smart gateways or to selected relay nodes These algorithms consider diverse factors including distance between devices and smart gateways, and estimation of communication performance based on QoS metrics such as packet loss, delay and throughput. They take into consideration device mobility, communication relevance and age of information.

RELATED WORK
PERFORMANCE ANALYSIS
Findings
CONCLUSION AND FUTURE WORK
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