scholarly journals A Novel WLAN Roaming Decision and Selection Scheme for Mobile Data Offloading

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Nam Nguyen ◽  
Mohammad Arifuzzaman ◽  
Takuro Sato
Keyword(s):  
Traffic Load ◽  
Data Traffic ◽  
Mobile Nodes ◽  
Network Resource ◽  
Selection Scheme ◽  
Mobile Data ◽  
Access Points ◽  
The Right ◽  
Mobile Data Offloading ◽  
Point Of Service

The existing IEEE and 3GPP standards have laid the foundation for integrating cellular and WiFi network to deliver a seamless experience for the end-users when roaming across multiple access networks. However, in recent studies, the issue of making roaming decision and intelligently selecting the most preferable Point of Service to optimize network resource and improve end user’s experience has not been considered properly. In this paper, we propose a novel cellular and WiFi roaming decision and AP selection scheme based on state of the art, 3GPP TS24.312 and IEEE 802.11u, k standards. Our proposed scheme assists the mobile nodes to decide the right timing to make roaming decision and select preferable point of service based on the operator’s policies and real-time network condition. We also introduce our simulation model of a heterogeneous network with cellular and WiFi interworking as well as 3GPP ANDSF, TS24.312. It is a complete end-to-end system model from application to physical layer with considering user’s mobility and realistic traffic model. The proposed scheme outperformed the conventional WiFi selection scheme in terms of dynamically steering mobile node’s data traffic from macrocell to available Access Points. The proposed scheme increased the utilization and balanced the traffic load of access points and improved user’s experienced throughput.

Mobile Data Offloading for Streaming-Class Traffic with QoS Guarantee

2015 ◽  
Vol 7 (4) ◽  
pp. 26-42
Author(s):  
Anusree Ajith ◽  
T. G. Venkatesh
Keyword(s):  
Mobile Network ◽  
Network Capacity ◽  
Live Streaming ◽  
Data Traffic ◽  
Mobile Data ◽  
Qos Guarantee ◽  
Real Time Traffic ◽  
Video And Audio ◽  
Mobile Network Operators ◽  
Mobile Data Offloading

Faced with the tremendous increase in the amount of data traffic and associated congestion, mobile network operators are moving towards Heterogeneous networks (HetNets), in the process of expanding network capacity. Offloading data traffic onto Wi-Fi in order to avoid congestion in the backbone is an important step in the evolution of HetNets. On-the-spot and delayed offloading have been widely studied in the literature. This paper proposes an offloading algorithm which has low computational complexity. The proposed algorithm offloads data based on a balking function which is dependent on present network condition. Using extensive simulations, the authors demonstrate that the proposed algorithm achieves reduction in mean transmission delay without sacrificing much on the offloading efficiency. This technique is more efficient and applicable to real-time traffic, like live streaming video and audio, which has short and stringent delay requirements or deadlines.

scholarly journals SDN-Based Mobile Data Offloading Scheme Using a Femtocell and WiFi Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Chang-Woo Ahn ◽  
Sang-Hwa Chung
Keyword(s):  
Target Selection ◽  
Network Capacity ◽  
Centralized Control ◽  
Data Traffic ◽  
Wifi Networks ◽  
Selection Scheme ◽  
Mobile Data ◽  
Available Bandwidth ◽  
Seamless Connectivity ◽  
The Many

Because of the many applications running on smartphones, the load of mobile data traffic on cellular networks is increasing rapidly. A femtocell is a solution to increase the cellular network capacity and coverage. However, because it uses the same frequency bands as a macrocell, interference problems have prevented its widespread adoption. In this paper, we propose a scheme for traffic offloading between femtocells and WiFi networks utilizing software-defined networking (SDN) technology. In the proposed offloading scheme, the SDN technology allows a terminal to maintain existing sessions after offloading through a centralized control of the SDN-based equipment. We also propose an offloading target selection scheme based on available bandwidth estimation and an association control mechanism to reduce the femtocell load while ensuring quality of service (QoS) in terms of throughput. Experimental results on an actual testbed showed that the proposed offloading scheme provides seamless connectivity and reduces the femtocell load by up to 46% with the aid of the proposed target selection scheme, while ensuring QoS after offloading. We also observed that the proposed target selection scheme offloads 28% more traffic to WiFi networks compared to received signal strength indicator-based target selection in a low background traffic environment.

scholarly journals Deterministic Directed Flooding Scheme (D2FS) for Inter-Cluster Flooding in Mobile Adhoc Networks

2019 ◽  
Vol 8 (6S2) ◽  
pp. 1051-1057
Keyword(s):  
Ad Hoc Networks ◽  
Network Performance ◽  
Ad Hoc ◽  
Traffic Load ◽  
Communication Overhead ◽  
Delivery Ratio ◽  
Data Traffic ◽  
Mobile Nodes ◽  
Hoc Networks ◽  
Forwarding Set

Mobile Ad hoc Networks (MANET) comprises a collection of numerous mobile nodes that communicates with one other with no dependence on any predefined infrastructure in the network. The characteristics of MANET such as independent, wireless, and self-configuration of MANETs allows the suitability of various application scenarios. Cluster based Flooding is an important issue in the design of MANET where it is an order to manage data traffic as it utilizes a set of chosen nodes to transmit data between two nodes. MANET networks frequently structured with mobile devices for enabling data transmission. An essential process of selecting forwarding set in the inter-cluster flooding. The routing protocol employ in the network often defines the energy efficiency and network performance in ad hoc networks. This paper presents a new deterministic directed flooding scheme (D2FS) for effectively choose the forwarding set for effective inter-cluster flooding. In addition, a Cluster Based Flooding utilizing Fuzzy Logic Scheme (CBF2S) to effectively transmit data is also presented. The devised D2FS model is tested using NS2 tool with respect to the existence of diverse hop counts. An extensive experimentation takes place to prove the superiority of the D2FS with respect to overhead, communication overhead, traffic load, packet delivery ratio and end to end delay.

Incentive mechanisms for mobile data offloading through operator-owned WiFi access points

2020 ◽  
Vol 174 ◽  
pp. 107226 ◽  
Author(s):  
Yi Zhao ◽  
Ke Xu ◽  
Yifeng Zhong ◽  
Xiang-Yang Li ◽  
Ning Wang ◽  
...  
Keyword(s):  
Data Offloading ◽  
Incentive Mechanisms ◽  
Mobile Data ◽  
Access Points ◽  
Mobile Data Offloading

scholarly journals PRICING POLICIES FOR HIGH DEMAND DATA COMMUNICATIONS, THE CASE OF ALBANIA

2017 ◽  
Vol 5 ◽  
pp. 300-306
Author(s):  
Irena Malolli
Keyword(s):  
Low Cost ◽  
Data Communication ◽  
Market Demand ◽  
Data Traffic ◽  
High Demand ◽  
High Quality ◽  
Mobile Data ◽  
Pricing Policies ◽  
Critical Issues ◽  
The Right

Mobile data traffic has dramatically increased during the recent years. The high demand for data communication increased the challenges for network operators. Communication Network operators are investing to provide more capacities and they are looking for innovative ways to cope with increased market demand for broadband data communication.The liberalization of the telecommunication market and the competition put the operators under pressure to keep high quality services with low cost. New pricing policies are introduced in order to maintain market share and keep their users in a competitive market. The battle with OTT makes the situation more critical.This article will analyze the situation in the field of data communication, compare different instruments which are used or are under development in different countries and in Albania. The article will analyze the pricing policies used for data communication as a solution to cope with the high demand of data traffic. The article will identify some critical issues on these practices, draw conclusions and give some recommendations on the proper ways to keep the right balance between technical and commercial solutions and user experience/satisfaction.

scholarly journals Modeling Energy-Delay Tradeoffs in Single Base Station with Cache

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Chao Fang ◽  
Haipeng Yao ◽  
Chenglin Zhao ◽  
Yunjie Liu
Keyword(s):  
Power Consumption ◽  
Work Load ◽  
Base Station ◽  
Data Traffic ◽  
Network Resource ◽  
Mobile Data ◽  
Single Base ◽  
Network Cost ◽  
Cache Power ◽  
Network Power

With the explosive increase of mobile data traffic, the energy efficiency issue in cellular networks is a growing concern. Recently, the advantages of in-network caching in Internet have been widely investigated, for example, speeding up content distribution and improving network resource utilization. In this paper, we analyze the energy-delay tradeoff problem in the context of single base station (BS), which has a cache capacity to buffer the contents through it. Although additional power is consumed by the cache, work load of BS and network delay will be improved, which makes a tradeoff between network power consumption and delay. Simulation results reveal that, by introducing the cache in a BS, the network power and delay can be obviously reduced in different network conditions compared to the scenario without a cache. In addition, we find that a large cache size does not always mean a less network cost because of the more cache power consumption.

scholarly journals Mobile Data Offloading Through A Third-Party WiFi Access Point: An Operator's Perspective

2014 ◽  
Vol 13 (10) ◽  
pp. 5340-5351 ◽  
Author(s):  
Xin Kang ◽  
Yeow-Khiang Chia ◽  
Sumei Sun ◽  
Hon Fah Chong
Keyword(s):  
Access Point ◽  
Third Party ◽  
Data Offloading ◽  
Mobile Data ◽  
Mobile Data Offloading

Mobile Data Offloading for Green Wireless Networks

2017 ◽  
Vol 24 (4) ◽  
pp. 31-37 ◽  
Author(s):  
Haoran Yu ◽  
Man Hon Cheung ◽  
George Iosifidis ◽  
Lin Gao ◽  
Leandros Tassiulas ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Data Offloading ◽  
Mobile Data ◽  
Mobile Data Offloading
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