Mobility-Aware Seamless Handover With MPTCP in Software-Defined HetNets

Tong, Haonan; Wang, Tao; Zhu, Yujiao; Liu, Xuanlin; Wang, Sihua; Yin, Changchuan

doi:10.1109/tnsm.2021.3050627

Cited by 33 publications

(32 citation statements)

References 38 publications

(55 reference statements)

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“…This section method namely existing system-resource selection (ES-RS) method [17], [27]. The SIMITS simulator [37], [38] is used for studying the model considering dynamic mobility model [35], [36].…”

Section: Resultsmentioning

confidence: 99%

“…Magoarou [26] focused on obtaining spatial location of user through unsupervised learning mechanism for practical handover and resource scheduling considering impact of small-scale fading. Tong et al [27] used software defined network in HWNs for addressing mobility and user resource allocation issues. They modelled multipath-based communication design using three phase such as prediction user location using echo state network, network selection using fuzzy analytic hierarchical process, and finally handover execution using multipath transmission protocol [28] [28].…”

Section: Figure 1 Architecture Of Heterogeneous Wireless Networkmentioning

confidence: 99%

See 1 more Smart Citation

Resource optimization-based network selection model for heterogeneous wireless networks

Nayakwadi¹,

Fatima²

2023

IJ-AI

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<p class="Abstract"><span lang="EN-US">The internet of things (IoT) environment prerequisite seamless connectivity for meeting real-time application requirements; thus, required efficient resource management techniques. Heterogeneous wireless networks (HWNs) have been emphasized for providing seamless connectivity with high quality of service (QoS) performance to provision IoT applications. However, the existing resource allocation scheme suffers from interference and fails to provide a quality experience for low-priority users. As a result, induce bandwidth wastage and increase handover failure. In addressing the research issues this paper presented the resource-optimized network selection (RONS) method for HWNs. The RONS method employs better load balancing to reduce handover failure and maximizes resource utilization through dynamic slot optimization. The RONS method assures tradeoffs between high performance to high priority users and quality of experience (QoE) for low priority users. The experiment outcome shows the RONS achieves very good performance in terms of throughput, packet loss, and handover failures in comparison with existing resource selection methods.</span></p>

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Section: Resultsmentioning

confidence: 99%

Section: Figure 1 Architecture Of Heterogeneous Wireless Networkmentioning

confidence: 99%

Resource optimization-based network selection model for heterogeneous wireless networks

Nayakwadi¹,

Fatima²

2023

IJ-AI

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“…Because of these, we extended our measurements to the reference MPTCP multipath environment (see e.g. [12], [13], [14], [15], [16]). In his case, too, the results of the measurements were much weaker than expected, but he definitely performed better than the MPT.…”

Section: Discussionmentioning

confidence: 99%

Investigating the Throughput Performance of the MPT-GRE Network Layer Multipath Library in Emulated WAN Environment

Szilágyi

Bordán

2021

Acta Tech. Jaurinensis

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Nowadays there is a growing demand for a much faster and more secure communication without borders through the internet, which is provoking more and more both network designers and manufacturers of communication devices. Thanks to the BYOD trend, our communication devices can be easily carried anywhere in the world. They generally have several built-in network interfaces (e.g. Ethernet, Wi-Fi, 4G). Theoretically, using these cards in parallel, we could speed up data transmission, and thus communication, by aggregating the channel capabilities of the interfaces. On the other hand, we could make data transmission more secure by applying redundancy to the system. Unfortunately, traditional IP-based communications do not allow the use of parallel interfaces in a given communication session, leaving the hardware capabilities of our communications devices virtually untapped. To address this issue, we have developed a multipath communication solution called MPT-GRE, which we have already tested in several laboratory environments. The measurement results were published in our previous articles. In this paper we are going to test it in a much more realistic environment, using the Dummynet WAN emulation software. The measurement results confirmed that the MPT-GRE multipath solution is able to aggregate the performance of physical connections efficiently in the emulated Fast Ethernet IPv4 WAN environment as well.

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“…MPTCP can improve bandwidth utilization, increase network throughput [15][16][17] and remain reliable [18][19][20]. However, MPTCP consumes extra energy by opening multiple network interfaces at the same time during use.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Saving Scheduling Algorithm for Multipath TCP in Wireless Networks

et al. 2022

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Multipath TCP (MPTCP) allows the system to use available paths through multiple network interfaces. This aggregation of bandwidth increases the throughput of the network but also consumes more energy to maintain connections between multiple interfaces. Existing algorithms tend to shift traffic from the high energy path to the low energy path to save energy. However, when the performance of the less energy-intensive path deteriorates, continued use of that path will reduce throughput. To alleviate this issue and reduce energy consumption while ensuring network throughput, this paper proposes an energy-saving scheduling system named ES-MPTCP, which can be combined with the path management module to manage subflows, thereby determining the priority of subflows and which subflows to be used for data transmission. The ES-MPTCP algorithm designs a target optimization function based on path throughput and energy consumption to find different sets of suitable subflows for different applications to reduce energy consumption and guarantee throughput. The extensive experimental results based on the Linux real platform demonstrate that the ES-MPTCP algorithm has the best performance, which can improve throughput by 13.6%, reduce energy consumption by 16.2% and increase the energy efficiency up to 23%.

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Mobility-Aware Seamless Handover With MPTCP in Software-Defined HetNets

Cited by 33 publications

References 38 publications

Resource optimization-based network selection model for heterogeneous wireless networks

Resource optimization-based network selection model for heterogeneous wireless networks

Investigating the Throughput Performance of the MPT-GRE Network Layer Multipath Library in Emulated WAN Environment

An Energy-Saving Scheduling Algorithm for Multipath TCP in Wireless Networks

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