scholarly journals Virtual Home Region Multi-Hash Location Management Service (VIMLOC) for Large-Scale Wireless Mesh Networks

10.5772/13139 ◽  
2011 ◽  
Author(s):  
J. Mangues-Bafalluy ◽  
M. Requena-Esteso ◽  
J. Nez-Martnez ◽  
A. Krendzel
Keyword(s):  
Wireless Mesh Networks ◽  
Large Scale ◽  
Mesh Networks ◽  
Location Management ◽  
Management Service ◽  
Wireless Mesh ◽  
Home Region

Cluster-Based Location Management Scheme for Wireless Mesh Networks

2010 ◽  
Vol 21 (6) ◽  
pp. 1404-1415
Author(s):  
Wei-Qi HU ◽  
Shi-Hong ZOU ◽  
Shi-Duan CHENG ◽  
Bo HU ◽  
Wen-Dong WANG
Keyword(s):  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Location Management ◽  
Wireless Mesh ◽  
Management Scheme

scholarly journals A Stackelberg-Game-Based Power Control Algorithm for Wireless Mesh Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Yanbing Liu ◽  
Tao Wu ◽  
Jun Huang ◽  
Shousheng Jia
Keyword(s):  
Power Control ◽  
Wireless Mesh Networks ◽  
Control Algorithm ◽  
Large Scale ◽  
Mesh Networks ◽  
Stackelberg Game ◽  
Noncooperative Game ◽  
Destination Node ◽  
Wireless Mesh ◽  
Power Control Algorithm

Wireless mesh networks (WMNs) are a promising networking paradigm for next generation wireless networking system. Power control plays a vital role in WMNs and is realized to be a crucial step toward large-scale WMNs deployment. In this paper, we address the problem of how to allocate the power for both optimizing quality of service (QoS) and saving the power consumption in WMNs based on the game theory. We first formulate the problem as a noncooperative game, in which the QoS attributes and the power of each node are defined as a utility function, and all the nodes attempt to maximize their own utility. In such game, we correlate all the interfering nodes to be an interfering object and the receiving node to be the interfering object's virtual destination node. We then present an equilibrium solution for the noncooperative game using Stackelberg model, and we propose an iterative, distributed power control algorithm for WMNs. Also, we conduct numeric experiments to evaluate the system performance, our results show that the proposed algorithm can balance nodes to share the limited network resources and maximize total utility, and thus it is efficient and effective for solving the power control problem in WMNs.

Male-silkmoth-inspired routing algorithm for large-scale wireless mesh networks

2015 ◽  
Vol 17 (4) ◽  
pp. 384-393 ◽  
Author(s):  
Dwi Agung Nugroho ◽  
Agi Prasetiadi ◽  
Dong-Seong Kim
Keyword(s):  
Wireless Mesh Networks ◽  
Large Scale ◽  
Mesh Networks ◽  
Routing Algorithm ◽  
Wireless Mesh

The Analysis of Single-Radio Mode, Dual-Radio Mode and Multi-Radio Mode WMN’s Capacity

2012 ◽  
Vol 182-183 ◽  
pp. 2045-2049
Author(s):  
Liu Wei
Keyword(s):  
Wireless Mesh Networks ◽  
Mixed Mode ◽  
Large Scale ◽  
Mesh Networks ◽  
Wireless Mesh ◽  
Single Radio ◽  
Better Than

WMN is the abbreviations of Wireless mesh networks. Along with the evolution of WMN, there appears single-radio mode WMN ,dual-radio mode WMN ,multi-radio mode WMN and their mixed mode WMN. Single-radio mode WMN network has the lowest capacity and the lowest cost, dual-radio and multi-radio mode WMN are better than single-radio mode WMN, multi-radio mode WMN has the largest bandwidth and flexibility, and has obtained the large-scale application.

VIMLOC: Virtual Home Region multi-hash Location Service in wireless mesh networks

2008 ◽  
Author(s):  
Andrey Krendzel ◽  
Josep Mangues-Bafalluy ◽  
Manuel Requena-Esteso ◽  
Jose-Martinez Nunez
Keyword(s):  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Location Service ◽  
Wireless Mesh ◽  
Home Region

scholarly journals Routing in Large-Scale Wireless Mesh Networks Using Temperature Fields

IEEE Network ◽  
2008 ◽  
Vol 22 (1) ◽  
pp. 25-31 ◽  
Author(s):  
R. Baumann ◽  
S. Heimlicher ◽  
B. Plattner
Keyword(s):  
Wireless Mesh Networks ◽  
Large Scale ◽  
Mesh Networks ◽  
Temperature Fields ◽  
Wireless Mesh
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