A new approach to dynamic bandwidth allocation in Quality of Service networks: Performance and bounds

Worldwide, Internet of Things (IoT) devices will surpass a range of five billion by 2025 and developed countries will extend to advance by supplying almost two-thirds of such connections. With existing infrastructure, allocating bandwidth to billions of IoT devices is going to be cumbersome. This paper addresses the problem of Dynamic bandwidth allocation in IoT devices. We enhanced the dynamic bandwidth allocation algorithms to support QoS in different bandwidth ranges. Our Proposed innovative Machine learning-based Intelligent Dynamic Bandwidth Allocation (IDBA) algorithm allocates the bandwidth effectively between IoT devices based on utilization patterns observed through machine learning methods. Moreover, we showed that an IDBA algorithm results in supporting quality of service in terms of ensuring uninterrupted bandwidth to critical IoT application where bandwidth tolerance is zero percent, along with that IDBA increasing the network throughput correlated to other dynamic bandwidth allocation algorithms. We demonstrate simulations in different applications. The results show that IDBA achieves better throughput even in low bandwidth range.

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Dynamic Bandwidth Allocation for Ethernet Passive Optical Networks

Optical Access Networks and Advanced Photonics ◽

10.4018/978-1-60566-707-2.ch007 ◽

2010 ◽

pp. 146-161 ◽

Cited By ~ 2

Author(s):

Jun Zheng ◽

Hussein T. Mouftah

Keyword(s):

Optical Networks ◽

Bandwidth Allocation ◽

Optical Network ◽

Passive Optical Networks ◽

Dynamic Bandwidth Allocation ◽

Limited Bandwidth ◽

Critical Issues ◽

Ethernet Passive Optical Networks ◽

Dynamic Bandwidth

Bandwidth allocation is one of the critical issues in the design of Ethernet passive optical networks (EPONs). In an EPON system, multiple optical network units (ONUs) share a common upstream transmission channel for data transmission. To efficiently utilize the limited bandwidth of the upstream channel, a system must dynamically allocate the upstream bandwidth among multiple ONUs based on the instantaneous bandwidth demands and quality of service requirements of end users. This chapter gives an introduction of the fundamental concepts on bandwidth allocation in an EPON system, discusses the major challenges in designing a polling protocol for bandwidth allocation, and presents an overview of the state-of-the-art dynamic bandwidth allocation (DBA) algorithms proposed for EPONs.

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Bandwidth Allocation Methods in Passive Optical Access Networks (PONs)

Optical Access Networks and Advanced Photonics ◽

10.4018/978-1-60566-707-2.ch006 ◽

2010 ◽

pp. 123-145

Author(s):

Noemí Merayo ◽

Patricia Fernández ◽

Ramón J. Durán ◽

Rubén M. Lorenzo ◽

Ignacio de Miguel ◽

...

Keyword(s):

Optical Networks ◽

Bandwidth Allocation ◽

Medium Access Control Protocol ◽

Access Networks ◽

Dynamic Bandwidth Allocation ◽

Medium Access ◽

Traffic Conditions ◽

Time Division ◽

Dynamic Bandwidth

Passive Optical Networks (PONs) are very suitable architectures to face today’s access challenges. This technology shows a very cost saving architecture, it provides a huge amount of bandwidth and efficiently supports Quality of Service (QoS). In PON networks, as all subscribers share the same uplink channel, a medium access control protocol is required to provide a contention method to access the channel. As the performance of Time Division Multiplexing Access (TDMA) protocol is not good enough because traffic nature is heterogeneous, Dynamic Bandwidth Allocation (DBA) algorithms are proposed to overcome the problem. These algorithms are very efficient as they adapt the bandwidth assignment depending on the updated requirements and traffic conditions. Moreover, they should offer QoS by means of both class of service and subscriber differentiation. Long-Reach PONs, which combine the access and the metro network into only one by using 100 km of fibre, is an emergent technology able to reach a large number of far subscribers and to decrease the associated costs.

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