scholarly journals A Multicontroller Load Balancing Approach in Software-Defined Wireless Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Haipeng Yao ◽  
Chao Qiu ◽  
Chenglin Zhao ◽  
Lei Shi
Keyword(s):  
Wireless Networks ◽  
Load Balancing ◽  
Data Traffic ◽  
Good Separation ◽  
Mobile Data ◽  
Single Controller ◽  
Network Technologies ◽  
Load Simulation ◽  
Single Cluster ◽  
Threshold Approach

Software-defined networking (SDN) is currently seen as one of the most promising future network technologies, which can realize the separation between control and data planes. Furthermore, the increasing complexity in future wireless networks (i.e., 5G, wireless sensor networks) renders the control and coordination of networks a challenging task. Future wireless networks need good separation of control and data planes and call for SDN method to handle the explosive increase of mobile data traffic. Relying on a single controller in future wireless networks imposes a potential scalability problem. To tackle this problem, the thought of using multiple controllers to manage the large wide-area wireless network has been proposed, where the load balance problem of multicontroller needs to be resolved. In this paper, we propose a multicontroller load balancing approach called HybridFlow in software-defined wireless networks, which adopts the method of distribution and centralization and designs a double threshold approach to evenly allocate the load. Simulation results reveal that the proposed approach can significantly relieve the working load on the super controller and reduces the load jitter of multicontroller load in a single cluster compared with the BalanceFlow method.

Sustainable Growth for Cellular Wireless Networks

2014 ◽  
pp. 18-43 ◽  
Author(s):  
Siyi Wang ◽  
Weisi Guo
Keyword(s):  
Wireless Networks ◽  
Information Transfer ◽  
Sustainable Growth ◽  
Energy Prices ◽  
Data Traffic ◽  
Mobile Data ◽  
Information And Communication ◽  
Operational Expenditure ◽  
Green Wireless Communications ◽  
Developed Nations

It has been widely recognised that the exchange of information is one of the underpinning factors for economic growth in developing and developed nations. One of the fastest growing areas of information transfer is the mobile data sector. In 2012, global mobile data traffic grew by 70%. There is an urgent need to improve the wireless capacity of cellular networks in order to match this growth. One of the key issues faced by mobile operators is the fall in Average Revenue Per User (ARPU) and the growing Operational Expenditure (OPEX) due to capacity growth and rising energy prices. The challenge is therefore how to grow the wireless capacity in a way that minimizes the OPEX and thus improves the ARPU. Furthermore, there is growing focus on the environmental impact of Information and Communication Technology (ICT) sectors. There are tangible, financial, and environmental motivations for reducing the energy expenditure of wireless networks whilst growing its capacity. This chapter examines recent research in the area of future wireless network architectures and deployments. This is done in the context of improving capacity in a sustainable way. That is to say, what is the lowest-cost and -energy method of achieving certain capacity targets? The authors of this chapter were researchers in the world’s first green wireless communications project—Mobile VCE Green Radio (2007-2012).

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

scholarly journals Load-Balancing and QoS Based Dynamic Resource Allocation Method for Smart Gird Fiber-Wireless Networks

2019 ◽  
Vol 28 (6) ◽  
pp. 1234-1243 ◽  
Author(s):  
Siya Xu ◽  
Peng Li ◽  
Feng Qi ◽  
Shaoyong Guo ◽  
Guiping Zhou ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Wireless Networks ◽  
Load Balancing ◽  
Dynamic Resource Allocation ◽  
Allocation Method ◽  
Dynamic Resource ◽  
Smart Gird

scholarly journals Mobile Data Traffic Offloading through Opportunistic Vehicular Communications

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Liqiang Qiao
Keyword(s):  
Cellular Network ◽  
Maximization Problem ◽  
Vehicular Communications ◽  
Data Traffic ◽  
Reachability Graph ◽  
Mobile Data ◽  
Source Selection ◽  
Traffic Offloading ◽  
Future Utility ◽  
Initial Source

To cope with an exponentially increasing demand on mobile data traffic in cellular network, proximity-based opportunistic vehicular communications can be exploited as a complementary mean to offload and reduce the load of cellular network. In this paper, we propose a two-phase approach for mobile data traffic offloading, which exploits opportunistic contact and future utility with user mobility. The proposed approach includes one phase of initial source selection and subsequent phase of data forwarding. In phase 1, we build a weighted reachability graph, which is a very useful high-level abstraction for studying vehicular communication over time. Then, we propose an initial source selection algorithm, named VRank, and apply it in the weight reachability graph to identify some influential vehicles to serve as initial sources according to the rank of VRank. In phase 2, we formulate the forwarding schedule problem as a global utility maximization problem, which takes heterogeneous user interest and future utility contribution into consideration. Then, we propose an efficient scheme MGUP to solve the problem by providing a solution that decides which object should be broadcast. The effectiveness of our algorithm is verified through extensive simulation using real vehicular trace.

scholarly journals CHANNEL ALLOCATION FOR WIRELESS NETWORKS BASED ON INTELLIGENT METHOD

2021 ◽  
Vol 20 (4) ◽  
pp. 32-37
Author(s):  
Dominik NEZNÍK ◽  
◽  
Ľubomír DOBOŠ
Keyword(s):  
Wireless Networks ◽  
Data Transfer ◽  
Channel Allocation ◽  
Smart Cities ◽  
Data Rates ◽  
Different Types ◽  
Fuzzy Logic Method ◽  
Network Technologies ◽  
Near Future

In this paper, will be presented actual research of the intelligent channel allocation. The intelligent channel allocation is based on combination of fuzzy logic method and game theory attributes to increase quality of link in network. The channel allocations will become an important phenomenon in different types of networks such as 5G technology, wireless networks (IEEE 802.11xx), Z-Wave, LoRa, 3G, 4G, etc. In the near future, new network technologies, Internet of Things (IoT) and Smart Cities will need to have intelligent channel allocation to prevent interference on the channels used for data transfer. These networks along with IoT are considered as promising technology, that interconnects different types of networks into one fully functional network. The aim of this paper is to present the concept of a methods for channel allocation in wireless networks, where channels work as communication medium based on IEEE 802.11xx technology. The simulations prove, that proposed method is able to provide lower interference, improve data rates and increase quality of links.

Soft Load Balancing Over Heterogeneous Wireless Networks

2008 ◽  
Vol 57 (4) ◽  
pp. 2632-2638 ◽  
Author(s):  
Hyukmin Son ◽  
Sanghoon Lee ◽  
Soo-Chang Kim ◽  
Yeon-Seung Shin
Keyword(s):  
Wireless Networks ◽  
Load Balancing ◽  
Heterogeneous Wireless Networks
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