Fairness and high-throughput scheduling for multihop wireless ad hoc networks

Liu, Qiang; Leung, Ka-Cheong; Li, Victor O. K.; Zhao, Ze; Yang, Guanghua; Li, Cui

doi:10.1016/j.adhoc.2016.08.010

Cited by 6 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently Liu et. al put forward an opportunis-tic scheduling approach to balance fairness and throughput performance in multi-hop wireless ad hoc networks [34] . The solution assumes an underlying carrier sensing based protocol, which is inherently prone to exposed and hidden terminal problems.…”

Section: Related Workmentioning

confidence: 99%

Imola: A decentralised learning-driven protocol for multi-hop White-Fi

Facchi

Gringoli

Malone

et al. 2017

Computer Communications

View full text Add to dashboard Cite

In this paper we tackle the digital exclusion problem in developing and remote locations by proposing Imola, an inexpensive learning-driven access mechanism for multi-hop wireless networks that operate across TV white-spaces (TVWS). Stations running Imola only rely on passively acquired neighbourhood information to achieve scheduled-like operation in a decentralised way, without explicit synchronisation. Our design overcomes pathological circumstances such as hidden and exposed terminals that arise due to carrier sensing and are exceptionally problematic in low frequency bands. We present a prototype implementation of our proposal and conduct experiments in a real test bed, which confirms the practical feasibility of deploying our solution in mesh networks that build upon the IEEE 802.11af standard. Finally, the extensive system level simulations we perform demonstrate that Imola achieves up to 4x\u97 more throughput than the channel access protocol defined by the standard and reduces frame loss rate by up to 100%

show abstract

Section: Related Workmentioning

confidence: 99%

Imola: A decentralised learning-driven protocol for multi-hop White-Fi

Facchi

Gringoli

Malone

et al. 2017

Computer Communications

View full text Add to dashboard Cite

show abstract

“…A direct flow is a node‘s own flow and forwarding flows are the flows from other nodes.) and forwarding flows compete to access the buffer space and the direct flow has clear advantage over forwarding flows [2,3].…”

Section: Introductionmentioning

confidence: 99%

A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks

Khan

Rehman

Yahya

et al. 2019

Sensors

View full text Add to dashboard Cite

The Internet of Things (IoT) is an emerging technology that aims to enable the interconnection of a large number of smart devices and heterogeneous networks. Ad hoc networks play an important role in the designing of IoT-enabled platforms due to their efficient, flexible, low-cost and dynamic infrastructures. These networks utilize the available resources efficiently to maintain the Quality of Service (QoS) in a multi-hop communication. However, in a multi-hop communication, the relay nodes can be malicious, thus requiring a secured and reliable data transmission. In this paper, we propose a QoS-aware secured communication scheme for IoT-based networks (QoS-IoT). In QoS-IoT, a Sybil attack detection mechanism is used for the identification of Sybil nodes and their forged identities in multi-hop communication. After Sybil nodes detection, an optimal contention window (CW) is selected for QoS provisioning, that is, to achieve per-flow fairness and efficient utilization of the available bandwidth. In a multi-hop communication, the medium access control (MAC) layer protocols do not perform well in terms of fairness and throughput, especially when the nodes generate a large amount of data. It is because the MAC layer has no capability of providing QoS to prioritized or forwarding flows. We evaluate the performance of QoS-IoT in terms of Sybil attack detection, fairness, throughput and buffer utilization. The simulation results show that the proposed scheme outperforms the existing schemes and significantly enhances the performance of the network with a large volume of data. Moreover, the proposed scheme is resilient against Sybil attack.

show abstract

“…In dynamic IoT-based networks, every node uses the same medium, where at the MAC layer the allocated bandwidth for each node cannot guarantee per-flow fairness. Similarly, at the link layer, the direct flow 2 and forwarding flows compete to access the buffer space, and the direct flow has clear advantage over forwarding flows [2,3].…”

Section: Introductionmentioning

confidence: 99%

A QoS-aware Secured Communication Scheme for IoT-based Networks

Khan¹,

Au²,

Yahya³

et al. 2019

Preprint

View full text Add to dashboard Cite

The Internet of Things (IoT) is an emerging technology that aims to enable the interconnection of a large number of smart devices and heterogeneous networks. Ad hoc networks play an important role in the designing of IoT-enabled platforms due to their efficient, flexible, low-cost, and dynamic infrastructures. These networks utilize the available resources efficiently to maintain the Quality of Service (QoS) in a multi-hop communication. However, in a multi-hop communication, the relay nodes can be malicious, thus requiring a secured and reliable data transmission. In this paper, we propose a QoS-aware secured communication scheme for IoT-based networks (QoS-IoT). In QoS-IoT, a Sybil attack detection mechanism is used for the identification of Sybil nodes and their forged identities in multi-hop communication. %by high-power and mobile nodes. After Sybil nodes detection, an optimal contention window (CW) is selected for QoS provisioning, i.e., to achieve per-flow fairness and efficient utilization of the available bandwidth. In a multi-hop communication, the MAC layer protocols do not perform well in terms of fairness and throughput, especially when the nodes generate a large amount of data. It is because the MAC layer has no capability of providing QoS to prioritized or forwarding flows. We evaluate the performance of QoS-IoT in terms of Sybil attack detection, fairness, throughput, and buffer utilization. The simulation results show that the proposed scheme outperforms the existing schemes and significantly enhances the performance of the network with a large volume of data. Moreover, the proposed scheme is resilient against Sybil attack.

show abstract

Fairness and high-throughput scheduling for multihop wireless ad hoc networks

Cited by 6 publications

References 25 publications

Imola: A decentralised learning-driven protocol for multi-hop White-Fi

Imola: A decentralised learning-driven protocol for multi-hop White-Fi

A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks

A QoS-aware Secured Communication Scheme for IoT-based Networks

Contact Info

Product

Resources

About