scholarly journals Motion Adaptive Vertical Handoff in Cellular/WLAN Heterogeneous Wireless Network

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Limin Li ◽  
Lin Ma ◽  
Yubin Xu ◽  
Yunhai Fu
Keyword(s):  
Wireless Network ◽  
Cellular Network ◽  
Fuzzy Inference ◽  
Vertical Handoff ◽  
Heterogeneous Wireless Network ◽  
Inference System ◽  
Q Learning ◽  
Adaptive Ability ◽  
Unnecessary Handoff ◽  
Motion Types

In heterogeneous wireless network, vertical handoff plays an important role for guaranteeing quality of service and overall performance of network. Conventional vertical handoff trigger schemes are mostly developed from horizontal handoff in homogeneous cellular network. Basically, they can be summarized as hysteresis-based and dwelling-timer-based algorithms, which are reliable on avoiding unnecessary handoff caused by the terminals dwelling at the edge of WLAN coverage. However, the coverage of WLAN is much smaller compared with cellular network, while the motion types of terminals can be various in a typical outdoor scenario. As a result, traditional algorithms are less effective in avoiding unnecessary handoff triggered by vehicle-borne terminals with various speeds. Besides that, hysteresis and dwelling-timer thresholds usually need to be modified to satisfy different channel environments. For solving this problem, a vertical handoff algorithm based on Q-learning is proposed in this paper. Q-learning can provide the decider with self-adaptive ability for handling the terminals’ handoff requests with different motion types and channel conditions. Meanwhile, Neural Fuzzy Inference System (NFIS) is embedded to retain a continuous perception of the state space. Simulation results verify that the proposed algorithm can achieve lower unnecessary handoff probability compared with the other two conventional algorithms.

scholarly journals A Fuzzy Preprocessing Module for Optimizing the Access Network Selection in Wireless Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Faisal Kaleem ◽  
Abolfazl Mehbodniya ◽  
Kang K. Yen ◽  
Fumiyuki Adachi
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Proper Time ◽  
Heterogeneous Wireless Networks ◽  
Access Network ◽  
Wireless Access ◽  
Vertical Handoff ◽  
Heterogeneous Wireless Network ◽  
Multiple Interfaces ◽  
Access Network Selection

A heterogeneous wireless network is characterized by the presence of different wireless access technologies that coexist in an overlay fashion. These wireless access technologies usually differ in terms of their operating parameters. On the other hand, Mobile Stations (MSs) in a heterogeneous wireless network are equipped with multiple interfaces to access different types of services from these wireless access technologies. The ultimate goal of these heterogeneous wireless networks is to provide global connectivity with efficient ubiquitous computing to these MSs based on the Always Best Connected (ABC) principle. This is where the need for intelligent and efficient Vertical Handoffs (VHOs) between wireless technologies in a heterogeneous environment becomes apparent. This paper presents the design and implementation of a fuzzy multicriteria based Vertical Handoff Necessity Estimation (VHONE) scheme that determines the proper time for VHO, while considering the continuity and quality of the currently utilized service, and the end-users' satisfaction.

scholarly journals Implementation of Vertical Handoff Over LTE, Wi-Fi and WiMAX Networks

2019 ◽  
Vol 9 (2S3) ◽  
pp. 217-221
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Wireless Network ◽  
Wireless Access ◽  
Vertical Handoff ◽  
Heterogeneous Wireless Network ◽  
Wimax Networks ◽  
Performance Factors ◽  
End To End Delay

The forthcoming wireless networks provide the continuous services to their users for different applications by the integration of diverse wireless access technologies known as heterogeneous wireless network. The heterogeneous wireless network improves the Quality of Service for stationary and non-stationary mobile users. Even when users are in mobility the services are provided by means of handoff or handover. In this paper, the integration of three different wireless networks such as LTE, WiMAX and Wi-Fi networks and their vertical handoff performance analysis are presented. These diverse wireless networks which are considered for integration are modeled as a heterogeneous wireless network. This network is designed using QualNet simulator. Furthermore, the designed heterogeneous network, vertical handoff performance is estimated by using factors such as throughput, jitter and End to End delay. With these performance factors, the designed network’s Quality of Service (QoS) is estimated under mobility conditions.

scholarly journals PERANCANGAN BEHAVIOR-BASED ROBOT DENGAN ALGORITMA FUZZY Q-LEARNING (FQL) PADA SISTEM NAVIGASI ROBOT OTONOM BERODA DALAM MEDAN YANG TIDAK TERSTRUKTUR

2013 ◽  
Vol 2 (1) ◽  
Author(s):  
Made Santo Gitakarma
Keyword(s):  
Reinforcement Learning ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Inference System ◽  
Q Learning ◽  
Behavior Based

Pada banyak aplikasi robotika, seperti sistem navigasi robot mandiri atau robot otonom yang bergerak dengan mandiri pada lingkungan tidak terstruktur, sangat sulit atau tidak mungkin memperoleh model matematik yang tepat dari interaksi robot dengan lingkungannya. Untuk itu diperlukan pendekatan sistem kendali robot yang dikenal dengan sistem kendali Behavior-Based Robot (BBR). Pada pendekatan ini, sistem diuraikan menjadi beberapa modul yang masing-masingnya bertanggung jawab untuk melakukan satu perilaku (behavior). Salah satu metode pembelajaran yang paling cocok untuk aplikasi robot adalah Reinforcement Learning (RL), dengan jenis algoritma Q-learning. Kombinasi Q-learning dengan Fuzzy Inference System (FIS) dikenal dengan nama Fuzzy Q-Learning (FQL). Berdasarkan percobaan yang dilakukan sebanyak 3 kali pada robot beroda dapat disimpulkan bahwa waktu rata-rata robot kembali ke Homebase yaitu 1 menit 10 detik. Sedangkan waktu rata-rata robot dalam mematikan api lilin adalah 2 detik. Sehingga dapat dikatakan robot yang dibuat mempunyai kinerja yang cukup baik.

Artificial Bee Colony-Fuzzy Q Learning for Reinforcement Fuzzy Control (Truck Backer-Upper Control Problem)

2016 ◽  
Vol 24 (01) ◽  
pp. 123-136 ◽  
Author(s):  
Sima Saeed ◽  
Aliakbar Niknafs
Keyword(s):  
Fuzzy Control ◽  
Fuzzy System ◽  
Food Source ◽  
Artificial Bee Colony ◽  
Fuzzy Inference ◽  
Food Resource ◽  
Q Value ◽  
Inference System ◽  
Q Learning ◽  
Bee Colony

A new method for reinforcement fuzzy controllers is presented by this article. The method uses Artificial Bee Colony algorithm based on Q-Value to control reinforcement fuzzy system; the algorithm is called Artificial Bee Colony-Fuzzy Q learning (ABC-FQ). In fuzzy inference system, precondition part of rules is generated by prior knowledge, but ABC-FQ algorithm is responsible to achieve the best combination of actions for the consequence part of the rules. In ABC-FQ algorithm, each combination of actions is considered a food source for consequence part of the rules and the fitness level of this food source is determined by Q-Value. ABC-FQ Algorithm selects the best food resource, which is the best combination of actions for fuzzy system, using Q criterion. This algorithm tries to generate the best reinforcement fuzzy system to control the agent. ABC-FQ algorithm is used to solve the problem of Truck Backer-Upper Control, a reinforcement fuzzy control. The results have indicated that this method arrives to a result with higher speed and fewer trials in comparison to previous methods.

scholarly journals Vertical handoff algorithm for different wireless technologies

2017 ◽  
Author(s):  
Radhwan Mohamed Abdullah ◽  
Zuriati Ahmad Zukarnain
Keyword(s):  
Wireless Network ◽  
Wireless Local Area Network ◽  
Local Area Network ◽  
Vertical Handover ◽  
Vertical Handoff ◽  
Area Network ◽  
Heterogeneous Wireless Network ◽  
Decision Algorithm ◽  
Handover Decision ◽  
Simulation Results

Transferring a huge amount of data between different network locations over the network links depends on the heterogeneous wireless network. Such a network consists of several networks with different access technologies. Traditionally, a mobile device may be moved to achieve the operations of vertical handover, considering only one criterion, that is, the received signal strength (RSS). The use of a single criterion may cause service interruption, an unbalanced network load, and an inefficient vertical handover. In this paper, we propose enhanced vertical handover decision algorithm based on multiple criteria in the heterogeneous wireless network. The algorithm consists of three technology interfaces: Long-Term Evolution (LTE), Worldwide interoperability for Microwave Access (WiMAX), and Wireless Local Area Network (WLAN). It also employs three types of the vertical handover decision algorithms: equal priority, mobile priority, and network priority. The simulation results illustrate that the proposed handover decision algorithm outperforms the traditional network decision algorithm in terms of handover number probability and the handover failure probability. In addition, it is noticed that the network priority handover decision algorithm produces better results compared to equal priority and mobile priority handover decision algorithm. Finally, the simulation results are validated by the analytical model.

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