scholarly journals Adaptive Allocation Algorithm for Multi-Radio Multi-Channel Wireless Mesh Networks

2020 ◽  
Vol 12 (8) ◽  
pp. 127
Author(s):  
Walaa Hassan ◽  
Tamer Farag
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Channel Allocation ◽  
Decision Function ◽  
Mesh Network ◽  
Network Simulator ◽  
Allocation Algorithm ◽  
Adaptive Allocation ◽  
Wireless Mesh ◽  
Overall Performance

The wireless mesh network (WMN) has proven to be a great choice for network communication technology. WMNs are composed of access points (APs) that are installed and communicate with each other through multi-hop wireless networks. One or more of these APs acts as a gateway (GW) to the internet. Hosts of WMNs are stationary or mobile. According to the structure of WMNs, some network features may be affected, such as the overall performance, channel interference, and AP connectivity. In this paper, we propose a new adaptive channel allocation algorithm for a multi-radio multi-channel wireless mesh network. The algorithm is aimed to minimize the number of channel reassignments while maximizing the performance under practical constraints. The algorithm defines a decision function for the channel reassignments. The decision function aims to minimize the traffic around the GW. Whenever the traffic changes in the wireless mesh network, the decision function decides which channel radio reassignment should be done. We demonstrated the effectiveness of our algorithm through extensive simulations using Network Simulator 2 (NS-2).

scholarly journals Performance of Dynamic Priority Based Interference Aware Channel Allocation in Wireless Mesh Networks for Energy Conservation

2019 ◽  
Vol 9 (1) ◽  
pp. 5331-5335
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Average Energy ◽  
Residual Energy ◽  
Packet Transmission ◽  
Mesh Network ◽  
Network Simulator ◽  
Bandwidth Reservation ◽  
Wireless Mesh ◽  
Dynamic Scenario

The Dynamic Wireless Mesh Network (DWMN) infrastructure is a pair or multiple dynamic nodes with networking capability to communicate with one another utilising Sink Nodes (SN). Due to its mobile nature, it is termed as Dynamic in nature. SN traverses over the predefined path over the Wireless Mesh Network. As the nodes engage into mobility, the neighbourhood table should be updated at a minimum rate of once every five seconds. The alarming fact in WMN is, Energy to transmit a bit is equivalent to computing hundreds of instructions at that instant. Hence there is a need to concentrate on energy dimension of DWMN. A node loses certain amount of energy while transmitting and receiving the packet, hence there is a minor decline in the initial energy of the node. The existing value of energy at a moment after transmitting and receiving the packet is coined as Residual Energy. The energy consumed by the node for transmitting and receiving the packet over the particular time frame is coined as Average Energy. Network Simulator v.2 tool has been utilised to simulate network creation with multiple mobile nodes for packet transmission or reception and packet drop conditions due to interference. Bandwidth Reservation (BR) for energy analysis is done by both Priority Based Interference Aware Bandwidth Reservation (PBIABR) and Interference Aware Bandwidth Reservation (IABR) for many flowing rates under dynamic scenario. Channel Priority plays a vital role to opt the channel which posses less interference for efficient bandwidth reservation for PBIABR. The opted channel will have the minimal channel interference effect. IABR posses the controllability character for data flow to establish end-to-end communication over Multi-Radio Multi-Channel (MRMC) - Wireless Mesh Network. This research paper focuses on deep analysis of Residual Energy (joule) compared with Interval (sec) and Average Energy (joule) compared with Interval (sec) under dynamic scenario for multiple flow rates by implementing PBIABR and IABR criteria.

scholarly journals Context-Based Topology Control for Wireless Mesh Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-16
Author(s):  
Pragasen Mudali ◽  
Matthew Olusegun Adigun
Keyword(s):  
Topology Control ◽  
Wireless Mesh Network ◽  
Network Performance ◽  
Mesh Networks ◽  
Negative Impact ◽  
Mesh Network ◽  
Adjustment Process ◽  
Spatial Reuse ◽  
Test Bed ◽  
Wireless Mesh

Topology Control has been shown to provide several benefits to wireless ad hoc and mesh networks. However these benefits have largely been demonstrated using simulation-based evaluations. In this paper, we demonstrate the negative impact that the PlainTC Topology Control prototype has on topology stability. This instability is found to be caused by the large number of transceiver power adjustments undertaken by the prototype. A context-based solution is offered to reduce the number of transceiver power adjustments undertaken without sacrificing the cumulative transceiver power savings and spatial reuse advantages gained from employing Topology Control in an infrastructure wireless mesh network. We propose the context-based PlainTC+ prototype and show that incorporating context information in the transceiver power adjustment process significantly reduces topology instability. In addition, improvements to network performance arising from the improved topology stability are also observed. Future plans to add real-time context-awareness to PlainTC+ will have the scheme being prototyped in a software-defined wireless mesh network test-bed being planned.

scholarly journals PERFORMANCE ANALYSIS AND QOS FRAMEWORK OF FLY WİRELESS NETWORK

2019 ◽  
Vol 01 (02) ◽  
pp. 103-115
Author(s):  
Durai Pandian M
Keyword(s):  
Quality Of Service ◽  
Performance Analysis ◽  
Wireless Network ◽  
Wireless Mesh Network ◽  
Environmental Changes ◽  
Mesh Networks ◽  
Access Point ◽  
Mesh Network ◽  
Wireless Mesh

The spread out of wireless mesh network has made possible the extended range of communication network that are impractical due to environmental changes in a wired access point, these wireless mesh network does not require much competence to set it up as it can be set very fast at a cheap rate, and the conveyancing of messages in it happens by selecting the shortest path, these wireless mesh built-in with irrepressible and invulnerable identities come with an endurance to temporary congestion and individual node failure. This results in an architecture providing a better coverage, flaw indulgent with higher bandwidth compared to other wireless distributed systems. But faces the limitation on power conservation. The battery activated mesh nodes loses their resources on perception, processing and transmission of the data’s, though these batteries or accumulators comes with energy regaining capability still draw backs show up as their nature of energy regaining are unexposed. So the performance analysis of fly wireless network which proposes a uninterrupted wireless mesh networks aims at providing a best measure of performance that is the best quality of service on the meshwork by providing an improved energy gleaning using potency segregation (IGPS) which empowers each node to have self- contained accumulation of energy achieving heightened adaption with energy consumption kept at a minimum. The gross functioning of the proposed is examined on the bases of delay and packet loss to prove the quality of service acquired.

Deployment of a Wireless Mesh Network for Traffic Control

2012 ◽  
pp. 290-310
Author(s):  
Kun-chan Lan ◽  
Zhe Wang ◽  
Mahbub Hassan ◽  
Tim Moors ◽  
Rodney Berriman ◽  
...  
Keyword(s):  
Traffic Control ◽  
Network Architecture ◽  
Wireless Mesh Network ◽  
Critical Infrastructure ◽  
Mesh Networks ◽  
New Technology ◽  
Mesh Network ◽  
Traffic Light ◽  
Wireless Mesh ◽  
Communication Needs

Wireless mesh networks (WMN) have attracted considerable interest in recent years as a convenient, new technology. However, the suitability of WMN for mission-critical infrastructure applications remains by and large unknown, as protocols typically employed in WMN are, for the most part, not designed for real-time communications. In this chapter, the authors describe a wireless mesh network architecture to solve the communication needs of the traffic control system in Sydney. This system, known as SCATS and used in over 100 cities around the world — from individual traffic light controllers to regional computers and the central TMC —places stringent requirements on the reliability and latency of the data exchanges. The authors discuss experience in the deployment of an initial testbed consisting of 7 mesh nodes placed at intersections with traffic lights, and share the results and insights learned from measurements and initial trials in the process.

Using Wireless Mesh Network for Traffic Control

2010 ◽  
pp. 331-347 ◽  
Author(s):  
Kun-Chan Lan
Keyword(s):  
Traffic Control ◽  
Network Architecture ◽  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Great Majority ◽  
Mesh Network ◽  
Traffic Light ◽  
Available Bandwidth ◽  
Wireless Mesh ◽  
Communication Needs

Wireless mesh networks (WMN) have attracted considerable interest in recent years as a convenient, flexible and low-cost alternative to wired communication infrastructures in many contexts. However, the great majority of research on metropolitan-scale WMN has been centered around maximization of available bandwidth, suitable for non-real-time applications such as Internet access for the general public. On the other hand, the suitability of WMN for missioncritical infrastructure applications remains by and large unknown, as protocols typically employed in WMN are, for the most part, not designed for realtime communications. In this chapter, we describe a real-world testbed, which sets a goal of designing a wireless mesh network architecture to solve the communication needs of the traffic control system in Sydney, Australia. This system, known as SCATS (Sydney Coordinated Adaptive Traffic System) and used in over 100 cities around the world, connects a hierarchy of several thousand devices -- from individual traffic light controllers to regional computers and the central Traffic Management Centre (TMC) - and places stringent requirements on the reliability and latency of the data exchanges. We discuss some issues in the deployment of this testbed consisting of 7 mesh nodes placed at intersections with traffic lights, and show some results from the testbed measurements.

scholarly journals Robust Beamforming Design for SWIPT-Based Multi-Radio Wireless Mesh Network with Cooperative Jamming

Information ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 138
Author(s):  
Liang Li ◽  
Xiongwen Zhao ◽  
Suiyan Geng ◽  
Yu Zhang ◽  
Lei Zhang
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Mesh Network ◽  
Channel State ◽  
Sdp Relaxation ◽  
Cooperative Jamming ◽  
Total Transmission ◽  
Channel Estimate ◽  
Wireless Mesh ◽  
The Individual

Wireless mesh networks (WMNs) can provide flexible wireless connections in a smart city, internet of things (IoT), and device-to-device (D2D) communications. The performance of WMNs can be greatly enhanced by adopting a multi-radio technique, which enables a node to communicate with more nodes simultaneously. However, multi-radio WMNs face two main challenges, namely, energy consumption and physical layer secrecy. In this paper, both simultaneous wireless information and power transfer (SWIPT) and cooperative jamming technologies were adopted to overcome these two problems. We designed the SWIPT and cooperative jamming scheme, minimizing the total transmission power by properly selecting beamforming vectors of the WMN nodes and jammer to satisfy the individual signal-to-interference-plus-noise ratio (SINR) and energy harvesting (EH) constrains. Especially, we considered the channel estimate error caused by the imperfect channel state information. The SINR of eavesdropper (Eve) was suppressed to protect the secrecy of WMN nodes. Due to the fractional form, the problem was proved to be non-convex. We developed a tractable algorithm by transforming it into a convex one, utilizing semi-definite programming (SDP) relaxation and S-procedure methods. The simulation results validated the effectiveness of the proposed algorithm compared with the non-robust design.

A Cross-Layer Design Scheme between Spectrum Decision and Routing in Cognitive Wireless Mesh Networks

2013 ◽  
Vol 347-350 ◽  
pp. 2001-2006
Author(s):  
Guo An Zhang ◽  
Yun Yang ◽  
Yan Cheng Ji
Keyword(s):  
Spectrum Sharing ◽  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Mesh Network ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Decision Algorithm ◽  
Wireless Mesh ◽  
Simulation Results ◽  
Spectrum Decision

Spectrum sharing technologies can achieve the maximum usage of spectrum resources flexibly and high-efficiently, which relieves the current spectrum crunch situation availably. In a multi-hop cognitive wireless mesh network scenario coexisting with a TDMA/FDMA cellular network, an effective scheme of cross-layer design between link-layer spectrum decision and network-layer routing is proposed, on the basis of the combination of spectrum underlay and spectrum overlay. Simulation results verify that the scheme outperforms distinctly the shortest path based random spectrum decision algorithm on network end-to-end performance.

Scalable Video Streaming in Wireless Mesh Networks for Education

2011 ◽  
Vol 9 (1) ◽  
pp. 1-20
Author(s):  
Yan Liu ◽  
Xinheng Wang ◽  
Liqiang Zhao
Keyword(s):  
Video Streaming ◽  
Wireless Mesh Network ◽  
Control Method ◽  
Mesh Networks ◽  
Scalable Video Coding ◽  
Multimedia Data ◽  
Mesh Network ◽  
Scalable Video ◽  
Intelligent Network ◽  
Wireless Mesh

In this paper, a video streaming system for education based on a wireless mesh network is proposed. A wireless mesh network is a self-organizing, self-managing and reliable intelligent network, which allows educators to deploy a network quickly. Video streaming plays an important role in this system for multimedia data transmission. This new system adopts the scalable video coding scheme that enables the video server to deliver layered videos to different user groups. In addition, a quality control method was developed to automatically change the output data rate based on network conditions. Real implementation test results show the proposed methods are effective.

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