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Wireless mesh network

About: Wireless mesh network is a research topic. Over the lifetime, 13600 publications have been published within this topic receiving 221035 citations. The topic is also known as: WMN.


Papers
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Journal ArticleDOI
TL;DR: This paper presents an Adaptive Dynamic Channel Allocation protocol (ADCA), which considers optimization for both throughput and delay in the channel assignment, and proposes an Interference and Congestion Aware Routing protocol (ICAR), which balances the channel usage in the network.
Abstract: Many efforts have been devoted to maximizing network throughput in a multichannel multiradio wireless mesh network Most current solutions are based on either purely static or purely dynamic channel allocation approaches In this paper, we propose a hybrid multichannel multiradio wireless mesh networking architecture, where each mesh node has both static and dynamic interfaces We first present an Adaptive Dynamic Channel Allocation protocol (ADCA), which considers optimization for both throughput and delay in the channel assignment In addition, we also propose an Interference and Congestion Aware Routing protocol (ICAR) in the hybrid network with both static and dynamic links, which balances the channel usage in the network Our simulation results show that compared to previous works, ADCA reduces the packet delay considerably without degrading the network throughput The hybrid architecture shows much better adaptivity to changing traffic than purely static architecture without dramatic increase in overhead, and achieves lower delay than existing approaches for hybrid networks

71 citations

Journal ArticleDOI
TL;DR: This paper presents a cloud-based and hybrid wireless mesh communication framework for bilevel, nested, distributed optimization of networked clusters of microgrids that implements a diffusion-based, fully distributed algorithm on local wireless network and a quasi-distributed approach on wide-area internet-based cloud.
Abstract: This paper presents a cloud-based and hybrid wireless mesh communication framework for bilevel, nested, distributed optimization of networked clusters of microgrids. The proposed optimization framework implements a diffusion-based, fully distributed algorithm on local wireless network and a quasi-distributed approach on wide-area internet-based cloud. The lower level of the bilevel optimization implements a distributed optimal economic dispatch solution for intramicrogrid among distributed energy resources, and the upper level implements a global optimal dispatch for intermicrogrid energy exchange. To demonstrate industrial applicability of the proposed framework, the IEC 61850 interoperability protocol is adopted to achieve a certain delay performance so that the distributed optimization convergence is guaranteed. First, hardware-based prototype intelligent electronic devices are developed using embedded systems. Then, the bilevel nested optimization algorithm is implemented for integration of networked microgrids. Finally, experimental results are demonstrated from a real-time smart grid testbed featuring realistic microgrids. The results demonstrate that the proposed framework meets communication requirements for distributed optimization of networked microgrids.

71 citations

Journal ArticleDOI
TL;DR: This work compares Hill Climbing, Simulated Annealing and Genetic Algorithm by simulations for node placement problem to find the optimal distribution of router nodes in order to provide the best network connectivity and provide thebest coverage in a set of randomly distributed clients.
Abstract: One of the key advantages of Wireless Mesh Networks (WMNs) is their importance for providing cost-efficient broadband connectivity. There are issues for achieving the network connectivity and user coverage, which are related with the node placement problem. In this work, we compare Hill Climbing (HC), Simulated Annealing (SA) and Genetic Algorithm (GA) by simulations for node placement problem. We want to find the optimal distribution of router nodes in order to provide the best network connectivity and provide the best coverage in a set of randomly distributed clients. From the simulation results, all algorithms converge to the maximum size of Giant Component (GC). However, according to the number of covered mesh clients, HC and SA converge faster.

71 citations

Proceedings ArticleDOI
17 Jun 2008
TL;DR: This work designs and evaluates a family of client-driven handoff techniques that target vehicular mobility in multi-tier multi-hop wireless mesh networks and utilizes a 4,000 user urban deployment to evaluate the performance of a broad class of hand-off policies.
Abstract: Deployments of city-wide multi-hop 802.11 networks introduce challenges for maintaining client performance at vehicular speeds. We experimentally demonstrate that current network interfaces employ policies that result in long outage durations, even when clients are always in range of at least one access point. Consequently, we design and evaluate a family of client-driven handoff techniques that target vehicular mobility in multi-tier multi-hop wireless mesh networks. Our key technique is for clients to invoke an association change based on (i) joint use of channel quality measurements and AP quality scores that reflect long-term differences in AP performance and (ii) controlled measurement and hand-off time scales to balance the need for the instantaneously best association against performance penalties incurred from spurious handoffs due to channel fluctuations and marginally improved associations. We utilize a 4,000 user urban deployment to evaluate the performance of a broad class of hand-off policies.

71 citations

Patent
18 Dec 2008
TL;DR: In this paper, a network resource allocation system and method of the same are provided according to the present invention, which is applicable to a wireless mesh network, the method including: programming traffic of connections between routers, exchanging data between neighboring routers, and checking a local time window and a global time window for expiration by the router.
Abstract: A network resource allocation system and method of the same are provided according to the present invention. The system and method are applicable to a wireless mesh network, the method including: programming traffic of connections between routers; exchanging data between neighboring routers, thereby enabling the routers to perform dispersive network resource allocation according to the exchanged data; checking a local time window and a global time window for expiration by the router; and, under the condition of local performance deterioration or local traffic variation, activating a local routing adjustment mechanism by the router, wherein, if global performance deterioration currently exists, then activating a global optimization mechanism by a central controller, and, if not, then resetting the global time window. Accordingly, the present invention is capable of perceiving the traffic status of each connection between routers, thereby efficiently directing traffic to various channels and wireless transceivers.

71 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202363
2022163
2021138
2020281
2019332
2018400