Multiple-call handover decisions using fuzzy MCGDM in heterogeneous wireless networks

Falowo, Olabisi E.; Chan, H. Anthony

doi:10.1109/milcom.2011.6127593

Cited by 10 publications

(9 citation statements)

References 12 publications

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“…RSS is calculated from the predicted locations following the transmission model (1), (2), and the other attributes are set to vary randomly following Table III. For comparison purposes, we simulate: a) RSS-based handover method, b) fuzzy multiple criteria group decision making (Fuzzy MCGDM) algorithm [18], c) fuzzy technique for order preference by similarity to the ideal situation (FTOP-SIS) [42], d) the proposed FAHP-based algorithm, and e) the proposed FAHP-based algorithm with uniform location errors of 10∼20 m (FAHP with errors).…”

Section: Mptcp-based Seamless Handover Executionmentioning

confidence: 99%

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

Tong

Wang

Zhu

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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In this paper, the problem of vertical handover in software-defined network (SDN) based heterogeneous networks (HetNets) is studied. In the studied model, HetNets are required to offer diverse services for mobile users. Using an SDN controller, HetNets have the capability of managing users' access and mobility issues but still have the problems of ping-pong effect and service interruption during vertical handover. To solve these problems, a mobility-aware seamless handover method based on multipath transmission control protocol (MPTCP) is proposed. The proposed handover method is executed in the controller of the software-defined HetNets (SDHetNets) and consists of three steps: location prediction, network selection, and handover execution. In particular, the method first predicts the user's location in the next moment with an echo state network (ESN). Given the predicted location, the SDHetNet controller can determine the candidate network set for the handover to preallocate network wireless resources. Second, the target network is selected through fuzzy analytic hierarchical process (FAHP) algorithm, jointly considering user preferences, service requirements, network attributes, and user mobility patterns. Then, seamless handover is realized through the proposed MPTCPbased handover mechanism. Simulations using real-world user trajectory data from Korea Advanced Institute of Science & Technology show that the proposed method can reduce the handover times by 10.85% to 29.12% compared with traditional methods. The proposed method also maintains at least one MPTCP subflow connected during the handover process and achieves a seamless handover. Index Terms-software defined heterogeneous network, seamless handover, echo state network, fuzzy analytic hierarchy process, multipath transmission control protocol.

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Section: Mptcp-based Seamless Handover Executionmentioning

confidence: 99%

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

Tong

Wang

Zhu

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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“…Falowo and Chan [3] first studied the problem of making vertical handover decisions for multiple classes of services from a MMT in HWNs and proposed an algorithm. To reduce the frequency of vertical handover, Falowo and Chan [1] used a RAT preference margin which represents the metric of the target network superior to the current connected network and proposed a dynamic MMT RAT selection algorithm.…”

Section: Related Workmentioning

confidence: 99%

“…Otherwise, the scheme will make independent decisions. However, only user preferences have been considered in [1]- [3], and [20].…”

Section: Related Workmentioning

confidence: 99%

Network Selection Algorithm for Multiservice Multimode Terminals in Heterogeneous Wireless Networks

Huang

2019

IEEE Access

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The rapid popularization of multimode terminals that simultaneously run multiple services (such as browsing web pages during a video session) has brought a decent amount of attention to the network selection problem of multimode terminals. However, most network selection algorithms proposed for vertical handoff are only suitable for terminals running a single service. This paper proposes a network selection algorithm for multiservice multimode terminals in heterogeneous wireless networks. The algorithm considers user preferences, network attributes, and service characteristics. Entropy and fuzzy analytic hierarchy process (FAHP) are used to calculate the objective weights of the network attributes and the weights determined by the service characteristics, respectively. The comprehensive weights of network attributes are obtained by combining the user preferences and service priority. At the same time, different utility functions are used to calculate the utility values of the network attributes for multiservice. Finally, the simple additive weighting (SAW) method is used to synthesize the utility values and the comprehensives weights, while the most appropriate network is selected by a technique for order preference by similarity to an ideal solution (TOPSIS) and a threshold. The simulation results show that the proposed algorithm can accurately select the most appropriate network by considering different factors. Compared to the existing two MMT network selection algorithms, it can reduce the number of vertical handovers and obtain better user experience while satisfying user's preferences and service's requirements, thus solving the multiservice multimode terminals network selection problem.

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“…These issues include: (a) selection of the appropriate criteria for making RAT-selection decisions, (b) determination of individual user's preferences for different RATs based on the user's specified weights, (c) the assignment of priority weight for each criteria of each service class, and (d) the use of an efficient multi-criteria group decision making (MCGDM) algorithm for making RAT-selection decisions in HWNs [4], [5].…”

mentioning

confidence: 99%

“…Even though a lot of research effort has concentrated on developing RAT-selection algorithms for making RATselection decisions for single-session from an MT in HWNs, not much has been reported in the literature on RATselection for multiple handoff sessions [1], [2], [3], [4], [5].…”

mentioning

confidence: 99%

Comparative analysis of algorithms for making multiple-sessions handover decisions in next generation wireless networks

Taiwo

Falowo

2013

2013 Africon

Self Cite

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Next generation wireless networks (NGWNs) are heterogeneous, and individual users in NGWNs are expected to simultaneously access multiple sessions such as voice, video streaming, file download, www, etc., from their multimode terminals (MTs). Consequently, an MT having multiple ongoing sessions may need to perform a vertical handover from one radio access technology (RAT) to another. However, a major issue in NGWN is how to select the most suitable RAT for a group of handoff sessions from an MT. While much research effort has concentrated on developing vertical handoff decision algorithms for a single-session from an MT, not much has been reported in the literature on RATselection for a group of handoff sessions from an MT in NGWNs. Therefore, this paper assesses the cross-analysis of four candidate algorithms for making multiple active sessions decisions in NGWNs. The objective of this paper is to compare four candidate algorithms that could be modified or adapted for making multi-criteria group decisions for multiple sessions from MTs in NGWNs. The candidate MCGDM algorithms compared in this paper are SAW-GDM, MEW-GDM, TOPSIS-GDM and DIA-GDM. Numerical simulation results show that TOPSIS-GDM and DIA-GDM algorithms are more suitable for making multiple handoff sessions than the SAW-GDM and MEW-GDM algorithms because they give consistent results.

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Multiple-call handover decisions using fuzzy MCGDM in heterogeneous wireless networks

Cited by 10 publications

References 12 publications

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

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

Network Selection Algorithm for Multiservice Multimode Terminals in Heterogeneous Wireless Networks

Comparative analysis of algorithms for making multiple-sessions handover decisions in next generation wireless networks

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