A Quality-Aware Fuzzy-Logic-Based Vertical Handover Decision Algorithm for Device-to-Device Communication

Subramani, Mageshwaran; Kumaravelu, Vinoth Babu

doi:10.1007/s13369-018-3560-0

Cited by 19 publications

(21 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…5G networks will support the emerging and existing technologies, which integrates newer solutions to obtain the increasing demand for higher data rate. One of the important features of 5G is D2D communication [2]. In D2D, two devices in close proximity communicate directly rather than communicating through the evolved node base station (eNB) or the core network.…”

Section: Introductionmentioning

confidence: 99%

“…In 5G, the concept of small cells is very popular, where the coverage range of access points are reduced [3]. Due to the mobility nature, the devices undergoing D2D communication requires frequent handovers [2]. The selection of the target network is to ensure proper communication and seamless service between the devices, which acts as a basic requirement in many practical applications.…”

Section: Introductionmentioning

confidence: 99%

“…To achieve always best connection (ABC) and to meet the good quality of service (QoS), the device has to switch to different networks [4]. The process of switching to different networks is called VHO and the process of switching between the same networks is called horizontal handover [2]. The interesting and challenging research area in the wireless environment is to select the best network from several candidate networks.…”

Section: Introductionmentioning

confidence: 99%

“…For seamless service continuity, both the devices are jointly handed over to the best neighboring network. This process is termed as joint handover [2], which is illustrated in Figure 1c. Target network selection is an important task to achieve a seamless connection and QoS in VHO environment.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A fuzzy based vertical handover network selection scheme for device-to-device communication

Subramani

Kumaravelu

2020

IJEECS

Self Cite

View full text Add to dashboard Cite

<p>One of the most attractive and challenging areas in the upcoming next-generation 5G wirelessnetworkistheverticalhandover(VHO).Recently,manyoftheheterogeneous wireless communication technologies are introduced to satisfy the demands of users in all situations. Due to the deployment of heterogeneous networks, the users can access the internet anywhere, anytime through different wireless networks. To obtain seamless service and service continuity, the device should be handed over to the best wireless networks. Here, a half handover scheme for Device-to-Device (D2D) communication is implemented for the selection of the best network. The target network selection for vertical handover can be handled using multiple attribute decision making (MADM) methods. An intelligent and fast vertical handover decision is much needed, which should be reliable even for random and uncertain environments. Fuzzy logic is proved to be effective in handling imprecise data. Hence, in this work, the impact of combining fuzzy with the conventional MADM scheme, simple additive weighting(SAW)isanalyzedandthehybridschemeiscomparedwiththeconventional MADM schemes like SAW, Techniques for order preference by similarity to ideal solution (TOPSIS), VlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR) in terms of handover decision delay. Since, the numbers of handovers executed are low,thehandoverdecisiondelayperformanceoftheproposedschemeissuperiorthan the considered classical MADM schemes.</p>

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A fuzzy based vertical handover network selection scheme for device-to-device communication

Subramani

Kumaravelu

2020

IJEECS

Self Cite

View full text Add to dashboard Cite

show abstract

“…A two-stage fuzzy-logic-based VHO decision algorithm was utilized in [1] to select a suitable access network according to the quality-of-service requirements. However, the data loss rate was higher.…”

Section: Introductionmentioning

confidence: 99%

Bagging Ensembled Perceptron Classifier for Seamless Mobility System in Heterogeneous Network

Reddy*,

Dr. Chandrasekhar

2020

IJITEE

View full text Add to dashboard Cite

Wireless mobile devices require a handover decision system to get a seamless connection in a heterogeneous wireless networking environment. The handover process is one of the most significant processes in a cellular network. Few research works have been developed for providing seamless connectivity using different handover techniques. But, controlling data traffic during the process of seamless mobile data connectivity was not solved. So, there is a necessity to introduce a new model to control the traffic and improving the seamless mobility management in heterogeneous network. A new model called Bagging Ensembled Perceptron Classification based Seamless Mobility (BEPC-SM) introduced to achieve higher data delivery rate with minimum packet loss rate and data transmission delay by means of classifying the mobile nodes in heterogeneous network. In BEPC-SM model, randomly considers a number of mobile nodes in the heterogeneous network as input. Then, BEPC-SM model determines signal strength for each mobile node in a heterogeneous network. Bagging Ensembled Perceptron Classification algorithm is used in BEPC-SM model with the aim of accurately classifying all mobile nodes as strong or weak strength node with a lower amount of time consumption. After that, the distance between the weak strength node and the access point in the network is measured. Lastly, BEPC-SM Model selects the nearby access point with maximum bandwidth availability for each weak strength node in the network to perform the handover process. Thus, the performance of seamless data communication in a heterogeneous network is improved in BEPC-SM model. The BEPC-SM model is used in traffic-aware seamless data communication in a heterogeneous network. Simulation evaluation of the BEPC-SM Model is carried out on factors such as data delivery rate, packet loss rate, data transmission delay with respect to a number of data packets. The simulation result depicts that the BEPC-SM Model is able to increases the data delivery rate and also reduces delay when compared to state-of-the-art works.

show abstract

Visible light communication and WiFi hybrid networks based on dynamic resource allocation algorithm

Yang,

Jia,

Liang

et al. 2023

J Supercomput

View full text Add to dashboard Cite

A Quality-Aware Fuzzy-Logic-Based Vertical Handover Decision Algorithm for Device-to-Device Communication

Cited by 19 publications

References 27 publications

A fuzzy based vertical handover network selection scheme for device-to-device communication

A fuzzy based vertical handover network selection scheme for device-to-device communication

Bagging Ensembled Perceptron Classifier for Seamless Mobility System in Heterogeneous Network

Visible light communication and WiFi hybrid networks based on dynamic resource allocation algorithm

Contact Info

Product

Resources

About