Abstract

The oncoming Internet-of-things (IoT) applications and smart machine-to-machine (M2M) communication lead to an enormous increase in network traffic. To meet the escalating demands of these time-critical applications, we need a hybrid optical-wireless network, for which the radio-over-fiber (RoF) technology is a promising candidate. These networks need to support the stringent delay requirements of the above applications for a large number of mobile users. However, the existing user registration and identification approaches for these networks are not efficient for a high user density and cannot keep the overall mean delay within the permissible limit for such applications. In this article, we present a hybrid medium access control (MAC) protocol for the RoF network, for which we propose hybrid user identification and neighbor-aware hybrid user identification algorithms for high user density. Further, the MAC protocol uses a gated polling method for data transfer. Moreover, we propose an analytical delay model for the hybrid MAC protocol, which gives overall end-to-end mean delay considering user identification and data transfer. We verify it with the results obtained from the simulations. Finally, we evaluate the mean delay and packet loss rate of the proposed algorithms by varying the network load, user density, and fiber length and benchmark the performance of the proposed algorithm with the state-of-the-art (SoA).

Highlights

  • The next-generation networks primarily focus on developing a smart and ubiquitous intelligent world, leading to an unprecedented increase in network traffic

  • To improve the overall network performance, the medium access control (MAC) protocol proposed in [33] presents a novel dynamic bandwidth allocation (DBA) algorithm, whereas this paper mainly focuses on user identification algorithms

  • We propose a hybrid MAC protocol for the RoF networks

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Summary

INTRODUCTION

The next-generation networks primarily focus on developing a smart and ubiquitous intelligent world, leading to an unprecedented increase in network traffic. The MT-MAC [25] and highly loaded MAC [26] protocols for the RoF network have addressed user registration and identification These approaches consider the fixed polling scheme for the data transfer phase and do not consider the user traffic demands, which degrades the network performance. We use the neighbor discovery approach within an RAU’s cell in the identification phase to further improve the network performance We explain this in detail, and we present the delay model for both the algorithms to compare with the delay model proposed for gMT-MAC in [32]. This paper proposes an improved hybrid MAC protocol to solve these issues while keeping the delay within the bounds to support IoT applications

CONTRIBUTIONS
ROF NETWORK MODEL
DATA TRANSFER PHASE
DELAY MODEL
MEAN IDENTIFICATION DELAY
PERFORMANCE EVALUATION
Findings
CONCLUSION
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