Fuzzy Logic-Based Handover Requirement Analysis and Access Network Selection for Device-to-Device Communication

Subramani, Mageshwaran; Kumaravelu, Vinoth Babu; Murugadass, Arthi

doi:10.1142/s0218126621500092

Cited by 10 publications

(2 citation statements)

References 59 publications

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“…Paper [16] suggests using subjective and objective synthetic weights to select networks based on user preference and network performance to reduce handover latency while meeting QoS requirements. A two-stage fuzzy logic-based vertical handover scheme has been proposed in the paper [17], with the goal of improving data rate, handover decision delay, handover blocking probability, and the number of handovers that have been successfully carried out. The authors of the paper [18] introduced network selection for a multiservice multimode mobile terminal from the heterogeneous network by utilizing FAHP, Entropy, and TOPSIS.…”

Section: Literature Reviewmentioning

confidence: 99%

Probabilistic estimation of comprehensive utility based on user preference and network condition for network selection in future in HetNet

Yadav,

Singh,

Srivastava

2023

J Supercomput

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One of key difficulties in designing vertical handover strategy in ultra-dense heterogeneous networks is selecting network. This work has proposed hybrid network selection model based on context-aware information by integrating fuzzy analytic hierarchy process (FAHP), Improved CRiteria Importance Through Inter-criteria Correlation (CRITIC), and techniques for order performance by similarity to ideal solution (TOPSIS) techniques. Improved CRITIC and TOPSIS techniques are used to compute objective criteria weight and utility based on network conditions and various service requirements, whereas FAHP techniques compute subjective criteria weight and utility based on user preference. Finally, network is chosen as candidate based on comprehensive utility and its threshold. The model shows that, if comprehensive utility follows normal, lognormal, gamma, and gamma distributions, then conversational, streaming, interactive, and background traffic will get better access to network. In comparison to competing models, our model reduces ping-pong effect, and unnecessary handovers, and improves quality of service, and network stability.

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Section: Literature Reviewmentioning

confidence: 99%

Probabilistic estimation of comprehensive utility based on user preference and network condition for network selection in future in HetNet

Yadav,

Singh,

Srivastava

2023

J Supercomput

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“…This approach cannot handle the ambiguity created by the imprecise and incomplete information about users in heterogeneous network. Subramani et al 48 presented a fuzzy logic-based vertical handover mechanism to provide continuous connectivity and consistent services for device-to-device transmission. Depending on RSS value, bandwidth utilization, and delay, a fuzzy logic-driven HO necessity assessment is done followed by fuzzy-AHP and fuzzy-TOPSIS algorithms that are employed to rate and choose the desired connectivity.…”

Section: Sinrmentioning

confidence: 99%

An efficient multicriteria‐based vertical handover decision‐making algorithm for heterogeneous networks

Satapathy

Mahapatro

2021

Trans Emerging Tel Tech

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Heterogeneous networks are designed to offload or route some of data traffics of mobile networks through other co‐located wireless access networks. This technique apparently increases the capacity of mobile network. In such networks, a vertical handover process plays an important role in providing seamless and uninterrupted connectivity as well as the required level of quality‐of‐service along with a wide coverage for all mobile nodes. Traditional vertical handover algorithms that are based on single criterion (eg, received signal strength) are not performing well in terms of excess handover rates, ping‐pong effects, handover delays, handover cost, etc. This research presents an efficient multicriteria‐based vertical handover decision‐making algorithm for heterogeneous networks. This algorithm uses a two‐step execution procedure, the first step evaluates whether the handover is needed or not before initiating a handover process, if needed, then a set of feasible solutions are generated for the vertical handover problem formulated as a multi‐objective optimization problem with two objective functions such as quality factor of networks and handover processing cost. In the second step, an optimal solution (ie, an appropriate access network) for handover is obtained using a hybrid approach of fuzzy analytic hierarchy process (FAHP) and technique for order preference by similarity to ideal solution (TOPSIS). Our simulation study shows that the proposed algorithm performs well as compared to some other existing algorithms (ie, single‐criterion based, multicriteria with AHP, multicriteria with TOPSIS, and multicriteria with both AHP and TOPSIS) in terms of performance metrics such as handover rate, delay, cost, and energy consumption.

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A Vertical Handover Approach Using GTMA in Wireless Networks

Kaur¹,

Goyal²,

Mehta³

2022

Lecture Notes in Networks and Systems

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Fuzzy Logic-Based Handover Requirement Analysis and Access Network Selection for Device-to-Device Communication

Cited by 10 publications

References 59 publications

Probabilistic estimation of comprehensive utility based on user preference and network condition for network selection in future in HetNet

Probabilistic estimation of comprehensive utility based on user preference and network condition for network selection in future in HetNet

An efficient multicriteria‐based vertical handover decision‐making algorithm for heterogeneous networks

A Vertical Handover Approach Using GTMA in Wireless Networks

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