scholarly journals Mobility Aware Network Selection in a Heterogeneous Wireless Environment

2020 ◽  
Vol 21 (1) ◽  
pp. 32-46
Author(s):  
Fayssal Bendaoud ◽  
Marwen Abdennebi ◽  
Fedoua Didi
Keyword(s):  
Vertical Handover ◽  
Network Selection ◽  
Second Step ◽  
User Requirements ◽  
Model Order ◽  
Radio Access ◽  
Real World Problem ◽  
Wireless Environment ◽  
Path Prediction

AbstractDifferent Radio Access Technologies (RATs) coexist in the same area has encouraged the researchers to get profit from the available networks by selecting of the best RAT at each moment of the call session to satisfy the user requirements. In this paper, we address a real-world problem which is the frequent mobility of the users in heterogeneous networks. We present in this paper a framework that allows users to select the best networks for the whole call session especially form a mobility perspective. The framework consists of several steps, starting by the path prediction which is performed using a Markov model order 2. The second step is to make the network selection on the zones of each predicted path, while in the third step; we get the best RAT’s configuration for each predicted path. Finally, we use another function to select one of the best configurations to be used for all the possible used paths. The results show that our proposal performs very well by eliminating the unnecessary vertical handover while maintaining a good Quality of Service (QoS).

User-Driven Network Selection during Vertical Handover in 4G Networks

2017 ◽  
Vol 10 ◽  
pp. 1
Author(s):  
Abubakar Muhammad Miyim ◽  
Mahamod Ismail ◽  
Rosdiadee Nordin
Keyword(s):  
Blocking Probability ◽  
Service Selection ◽  
Vertical Handover ◽  
Network Selection ◽  
Selection Strategy ◽  
Intelligent Network ◽  
Decision Algorithm ◽  
Radio Access ◽  
Service Application ◽  
Multi Access

The importance of network selection for wireless networks, is to facilitate users with various personal wireless devices to access their desired services via a range of available radio access networks. The inability of these networks to provide broadband data service applications to users poses a serious challenge in the wireless environment. Network Optimization has therefore become necessary, so as to accommodate the increasing number of users’ service application demands while maintaining the required quality of services. To achieve that, the need to incorporate intelligent and fast mechanism as a solution to select the best value network for the user arises. This paper provides an intelligent network selection strategy based on the user- and network-valued metrics to suit their preferences when communicating in multi-access environment. A user-driven network selection strategy that employs Multi-Access Service Selection Vertical Handover Decision Algorithm (MASS-VHDA) via three interfaces; Wi-Fi, WiMAX and LTE-A is proposed, numerically evaluated and simulated. The results from the performance analysis demonstrate some improvement in the QoS and network blocking probability to satisfy user application requests for multiple simultaneous services.

scholarly journals Nelder-Mead Optimized MADM Decision Support for Vertical Handover

2019 ◽  
Vol 8 (2S3) ◽  
pp. 601-604
Keyword(s):  
Decision Process ◽  
Vertical Handover ◽  
Network Selection ◽  
Heterogeneous Environment ◽  
Challenging Problem ◽  
Wireless Technology ◽  
Decision Strategy ◽  
Handover Decision ◽  
Required Quality

The vertical handover decision strategy is a challenging problem to support seamless mobility in different wireless technology. The handover decision process is reported to facilitate the required Quality of Service, but bad network selection and overload condition of the chosen network fallout in handover failures. Traditional handoff techniques typically are based on single parameter and are inefficient due to superfluous handovers. In addition, existing fuzzy based handoff method reduces the handover failures but increase the computational complexity. Furthermore, the existing mobile controlled handover techniques are not suitable for heterogeneous environment. Therefore this paper focus the need of efficient, robust and flexible vertical handover technique to reduce the handover failures and design an MADM based network controlled handover that maximize QoS in heterogeneous environment

scholarly journals An Analysis of the Network Selection Problem for Heterogeneous Environments with User-Operator Joint Satisfaction and Multi-RAT Transmission

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
J. J. Escudero-Garzás ◽  
C. Bousoño-Calzón
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Heterogeneous Networks ◽  
Network Topology ◽  
Utility Functions ◽  
Selection Problem ◽  
Network Selection ◽  
Heterogeneous Environments ◽  
Radio Access

The trend in wireless networks is that several wireless radio access technologies (RATs) coexist in the same area, forming heterogeneous networks in which the users may connect to any of the available RATs. The problem of associating a user to the most suitable RAT, known as network selection problem (NSP), is of capital importance for the satisfaction of the users in these emerging environments. However, also the satisfaction of the operator is important in this scenario. In this work, we propose that a connection may be served by more than one RAT by using multi-RAT terminals. We formulate the NSP with multiple RAT association based on utility functions that take into consideration both user’s satisfaction and provider’s satisfaction. As users are characterized according to their expected quality of service, our results exhaustively analyze the influence of the user’s profile, along with the network topology and the type of applications served.

scholarly journals Artificial intelligence based handover decision and network selection in heterogeneous internet of vehicles

2021 ◽  
Vol 22 (2) ◽  
pp. 1124
Author(s):  
Shaik Mazhar Hussain ◽  
Kamaludin Mohamad Yusof ◽  
Rolito Asuncion ◽  
Shaik Ashfaq Hussain
Keyword(s):  
Short Range ◽  
Learning Algorithm ◽  
Success Probability ◽  
Access Network ◽  
Vertical Handover ◽  
Network Selection ◽  
Internet Of Vehicles ◽  
Handover Decision ◽  
Radio Access ◽  
Current Characteristics

Internet of vehicles (IoV) is an emerging area that gives support for vehicles via internet assisted communication. IoV with 5G provides ubiquitous connectivity due to the participation of more than one radio access network. The mobility of vehicles demands to make handover in such heterogeneous network. The vehicles at short range uses dedicated short range communication (DSRC), while it has to use better technology for long range and any type of traffic. Usually, the previous work will directly select the network for handover or it connects with available radio access. Due to this, the occurrence of handover takes place frequently.  In this paper, the integration of DSRC, LTE and mmWave 5G on IoV is incorporated with novel handover decision making, network selection and routing. The handover decision is to ensure whether there is a need for vertical handover by using Dynamic Q-learning algorithm that uses entropy function for threshold prediction as per the current characteristics of the environment. Then the network selection is based on fuzzy-convolution neural network (F-CNN) that creates fuzzy rules from signal strength, distance, vehicle density, data type and line of sight. V2V chain routing is proposed to select V2V pairs using jellyfish optimization algorithm (JOA) that takes in account of channel, vehicle and transmission metrics. This system is developed in OMNeT++ simulator and the performances are evaluated in terms of success probability, handover failure, unnecessary handover, mean throughput, delay and packet loss.

scholarly journals Dynamic Q-learning and Fuzzy CNN Based Vertical Handover Decision for Integration of DSRC, mmWave 5G and LTE in Internet of Vehicles (IoV)

2021 ◽  
pp. 155-166
Author(s):  
Shaik Mazhar Hussain ◽  
◽  
Kamaludin Mohamad Yusof
Keyword(s):  
Performance Metrics ◽  
Selection Process ◽  
Success Probability ◽  
Access Network ◽  
Vertical Handover ◽  
Network Selection ◽  
Internet Of Vehicles ◽  
Handover Decision ◽  
Q Learning ◽  
Radio Access

Internet of vehicles commonly known as IOV is a newly emerged area which with the help of internet assisted communication provides the support to the vehicles. Due to the access of more than one radio access network, 5G makes the connectivity ubiquitous. Vehicle mobility demands for handover in such heterogeneous networks. Instead of using better technology for long ranges and other types of traffic, the vehicles are using devoted short range communications at short ranges. Commonly, networks for handovers were used to be selected directly or with the available radio access it used to connect automatically. With the help of this, the hand over occurrence now takes places frequently. This paper is based on the incorporation of DSRC, LTE as well as mm Wave on Internet of vehicles which is integrated with the Handover decision making algorithm, Network Selection and Routing. The decision of the handovers is to ensure that if there is any requirement of the vertical handovers using dynamic Q-learning algorithms in which entropy function is used to predict the threshold according to the characteristics of the environment. The network selection process is done using Fuzzy Convolution Neural Network commonly known as FCNN which makes the fuzzy rules by considering the parameters such as strength of its signal, its distance, the density of the vehicle, the type of its data as well the Line of Sight (LoS). V2V chain routing is presented in such a manner that V2V pairs are also selected with the help of jellyfish optimization algorithm considering three metrics – Vehicle metrics, Channel metrics and Vehicle performance metrics. OMNET++ simulator is the software in which system is developed. The performance evaluation is done according to its Handover Success Probability, Handover Failure, Redundant Handover, Mean Throughput, delay and Packet Loss.

scholarly journals Access Network Selection Based on Fuzzy Logic and Genetic Algorithms

2008 ◽  
Vol 2008 ◽  
pp. 1-12 ◽  
Author(s):  
Mohammed Alkhawlani ◽  
Aladdin Ayesh
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
User Satisfaction ◽  
Heterogeneous Wireless Networks ◽  
General Scheme ◽  
Access Network ◽  
Network Selection ◽  
Radio Access ◽  
Access Network Selection

In the next generation of heterogeneous wireless networks (HWNs), a large number of different radio access technologies (RATs) will be integrated into a common network. In this type of networks, selecting the most optimal and promising access network (AN) is an important consideration for overall networks stability, resource utilization, user satisfaction, and quality of service (QoS) provisioning. This paper proposes a general scheme to solve the access network selection (ANS) problem in the HWN. The proposed scheme has been used to present and design a general multicriteria software assistant (SA) that can consider the user, operator, and/or the QoS view points. Combined fuzzy logic (FL) and genetic algorithms (GAs) have been used to give the proposed scheme the required scalability, flexibility, and simplicity. The simulation results show that the proposed scheme and SA have better and more robust performance over the random-based selection.

scholarly journals Network selection algorithm based on decision tree in heterogeneous wireless networks

2018 ◽  
Vol 189 ◽  
pp. 04010 ◽  
Author(s):  
Wang-hong Li ◽  
Zhu Qi
Keyword(s):  
Decision Tree ◽  
Information Gain ◽  
Heterogeneous Wireless Networks ◽  
Training Data ◽  
Network Selection ◽  
User Requirements ◽  
Selection Algorithm ◽  
Training Set ◽  
Service Characteristics

A network selection algorithm based on Decision Tree is proposed to solve the problem. Users can select the appropriate network according to their service characteristics and requirements when they decide which network to access. First, we get the training data under the Interactive Class service from the synergetic algorithm which can be used for training set. The network attributes are used for attribute set. And then we can choose the attribute with the largest information gain as the division attribute after the discretization of continuous features by the bisection method. Keep going this step recursively, we can finally get a decision tree with high generalization ability by which we can make the network selection. Simulation results show that the algorithm we proposed is simple and effective and demonstrate the effectiveness of our scheme in improving the quality of service according to the user requirements under the Interactive Class service.

scholarly journals Network Selection in Wireless Heterogeneous Networks: a Survey

2018 ◽  
Vol 4 ◽  
pp. 64-74 ◽  
Author(s):  
Fayssal Bendaoud ◽  
Marwen Abdennebi ◽  
Fedoua Didi
Keyword(s):  
Selection Process ◽  
Heterogeneous Wireless Networks ◽  
Network Selection ◽  
Battery Life ◽  
Radio Access ◽  
Multiple Attribute ◽  
The Game Theory ◽  
Objective Being ◽  
Selection Of

Heterogeneous wireless networks is a term referring to networks combining different radio access technologies with the aim of establishing the best connection possible. In this case, users with multi-mode terminals can connect via different wireless technologies, such as 802.16, 802.11, UMTS, HSPA and LTE, all at the same time. The problem consists in the selection of the most suitable from all radio access technologies available. The decision process is called network selection, and depends on several parameters, such as quality of service, mobility, cost, energy, battery life, etc. Several methods and approaches have been proposed in this context, with their objective being to offer the best QoS to the users, and/or to maximize re-usability of the networks. This paper represents a survey of the network selection methods used. Multiple attribute-dependent decision-making methods are presented. Furthermore, the game theory concept is illustrated, the use of the fuzzy logic is presented, and the utility functions defining the network selection process are discussed.

scholarly journals PENGARUH PERIODE PENCAHAYAAN TERHADAP PERTUMBUHAN, HASIL DAN KOMPONEN MINYAK TANAMAN MENTHA (Mentha piperita L.)

2020 ◽  
Vol 10 (1) ◽  
pp. 12
Author(s):  
ROSIHAN ROSMAN ◽  
SRI SETYATI HARJADI ◽  
SUGENG SUDIATSO ◽  
SUDIRMAN YAHYA ◽  
BAMBANG SAPTA PURWOKO ◽  
...  
Keyword(s):  
Growth Yield ◽  
Mentha Piperita ◽  
Second Step ◽  
Peppermint Oil ◽  
Growth Morphology ◽  
Medicinal Crops ◽  
Normal Light ◽  
Vegetative And Reproductive Growth ◽  
Effect Of Light

<p>Penelitian yang betujuan mcngkaji pengaruh periode pcncahayaan terhadap petumbuhan, hasil dan komponen minyak tanaman M. piperita L, telah dilakukan di Instalasi Penelitian Balai Penelitian Tanaman Rempah dan Obat, Lembang, Jawa Barat, dai bulan Januari 2000 hingga Juli 2000. Penelitian dilakukan dua tahap. Tahap pertama membuat variasi lingkungan cahaya dan tahap kedua penyulingan dan analisis komponen minyak dengan kromatograi gas spektrometer massa. Penelitian menggunakan rancangan acak kelompok 5 perlakuan, yaitu I^&gt; (panjang hari normal sebagai kontrol), L, (pemutusan periode gelap 1 jam, pukul 21.00-22.00 mulai umur 30 hari), Lj (pemutusan peiode gelap 1 jam, pukul 21.00-22.00 mulai umur 60 hai), Lj (penambahan cahaya 4 jam, pukul 18.00-22.00 mulai umur 30 hai), dan U (penambahan cahaya 4 jam, pukul 18.00-22.00 mulai umur 60 hari). Hasil penelitian menunjuk¬ kan bahwa perubahan lingkungan mengubah fcnologi tanaman M. piperita L, meliputi petumbuhan vegetatif dan reproduktif, yang selanjutnya mempengaruhi sintesis menthol. Penambahan cahaya 4 jam mulai umur 30 hari setelah tanam (Li) memberikan petumbuhan vegetatif dan reproduktif paling baik, dengan ciri-ciri morfologi tanaman sebagai berikut tanaman berbunga, batang tegak (tidak rebah), tanaman tinggi, diameter batang besar, jumlah ruas banyak, stolon sedikit, jumlah daun banyak dan lebar. Fcnologi tanaman yang mcmiliki petumbuhan vegetatif dan reproduktif yang baik dapat menghasilkan produksi tema dan minyak yang tinggi. Perubahan fcnologi tanaman akibat manipulasi lingkungan mengubah komponen minyak dan mutu menthol. Fcnologi tanaman yang memiliki petumbuhan vegetatif maupun reproduktif yang baik menghasil¬ kan menthol tinggi dan menthofuran rendah. Penambahan cahaya 4 jam mulai umur 30 hari setelah tanam menghasilkan minyak dengan kadar menthol paling tinggi yaitu 54.89% dan menthofuran paling rendah yaitu 7.83%.<br /><br />Kata kunci: Hasil, komponen, minyak peppermint, Mentha piperita L., peiode pcncahayaan</p><p> </p><p><strong>ABSTRACT</strong></p><p>Effect ofphotoperiod on the growth, yield and component ofpeppermint oil<br /><br />Research on the effect of photoperiod on the growth, yield and component of peppermints oil of M. piperita, was carried out in the expeimental garden of the Institute for Spice and Medicinal Crops, Lembang West Java, from January to July, 2000. The study was conducted in two steps, i.e. The irst step was manipulation of photo peiod using TL lamps and the second step was distillation and analisis of peppermint oil from their products with gas chromatography and mass spectromctry. The experiment used ive treatments, i.e. (1) control or normal light peiod, (2) four hours light supplement at the age of 30 days and 60 days ater planting, and (3) one hour interruption of dark peiod at the age of 30 days and 60 days. The result showed that the changes in light peiod affected the phenology of the crop. Four hours light supplement at the age of 30 days gave the best vegetative and reproductive growth (morphology of Mentha piperita i.e. flowering, erect stem, tall, wide, large stem, more internodes, leafy, and developed only few stolons). This morphology also resulted in the highest resh mateial and oil product. The change of phenology as the effect of light peiode manipulation could change oil component and inally the quality of menthol. Four hours light supplement at 30 days ater planting showed (he highest menthol content (54.89%) and the lowest menthofuran (7.83%).<br /><br />Keywords: Mentha piperita L., component, photoperiod, yield, peppermint oil</p>

Sign in / Sign up

Export Citation Format

Share Document