Low-interference multicast routing in multi-radio multi-channel wireless mesh networks using adaptive directional antennas

Askari, Zeinab; Avokh, Avid; Farzanegan, Mahmoud Daneshvar

doi:10.1016/j.comcom.2016.12.019

Cited by 9 publications

(8 citation statements)

References 19 publications

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“…In [11] the authors propose 4 cross-layer algorithms named 'Directional Transmission aware Multicast Tree (DTMT)', 'Directional Interference-aware Multicast Tree (DIMT)', 'Steerable Beam Multicast routing (SBM)', and 'Interference-aware Steerable Beam Multicast routing (ISBM)'. These algorithms jointly address the problem of multicast tree construction, transmission channel selection and transmission beam specifications.…”

Section: Related Workmentioning

confidence: 99%

“…2. If u still has children in the multicast tree (line 9), NDM checks whether each child has a candidate parent in the multicast tree or not (lines [10][11][12][13][14]. If this is the case, we use a Boolean variable -continue -initialised to true (line 4) and there is again two possible cases:…”

Section: Ndm Algorithmmentioning

confidence: 99%

“…Many efficient multicast routing algorithms have been proposed in the MCMR WMNs related literature: [9][10][11][12][13][14][15][16][17][18][19][20][21], to name a few. Most of these algorithms assume that the multicast group is static, while in reality, the group is highly dynamic and its size can greatly change over time as members are allowed to join or leave the group at any time.…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of self‐organised multicast group in multi‐radio multi‐channel wireless mesh networks

et al. 2020

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Section: Related Workmentioning

confidence: 99%

Section: Ndm Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance analysis of self‐organised multicast group in multi‐radio multi‐channel wireless mesh networks

et al. 2020

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“…But it takes more time to consume energy in the network [13]. The interference aware of channel assignment strategy was described in [14] and the load-aware of channel assignment in multichannel multi-radio WMNs multicast routing approaches are illustrated in [15]. In [16], a Quality of Service Channel Assignment and multicast Routing (Q-CAR) algorithm is proposed to implement the performance of an efficient channel assignment in the wireless mesh network.…”

Section: Introductionmentioning

confidence: 99%

Q-Learning and MADMM Optimization Algorithm Based Interference Aware Channel Assignment Strategy for Load Balancing in WMNS

Rathan¹,

Roslin²

2021

IJIES

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Wireless Mesh Networks (WMNs) have been considered one of the main technologies for configuring wireless machines since they appeared. In a WMN, wireless routers provide multi-hop wireless connectivity between hosts on the network and allow access to the internet through the gateway routers. These wireless routers are normally equipped with the multiple radios in the wireless mesh network that operate on multiple channels with the multiple interference, which is caused to reduce the network performance and end-to-end delay. In this paper, we proposed an efficient optimization algorithm to solve the channel assignment problem which cause due to the multichannel multiradios in WMN’s. The main objective of our paper is to minimize the channel interference among networked devices. So, initially we construct a multicast tree with minimum interference by using Q-Learning algorithm, which is helps to minimize the end-to-end delay of packet delivery. From the constructed multicast tree, we intend to develop a channel assignment strategy with the minimum interference by using Modified version of Alternative Direction Method of Multipliers (MADMM) optimization algorithm, which is helps to increase the network throughput and packet delivery ratio. The proposed strategy was implemented by using NS-2 (Network Simulator-2) and the experimental result show that the performance of the proposed method is very high compared to the other method and the performance was calculated by using the feature metrics such as average throughput, packet delivery ratio, end-toend delay and total cost, which is compared with the other existing channel assignment strategies such as Learning Automata and Genetic Algorithm (LA-GA), GA-based approach, link-channel selection and rate-allocation (LCR) and learning automata based multicast routing (LAMR) channel assignment methods.

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“…5,6 Multi-radio technology and spatial diversity are other promising solutions to decrease the interference in wireless environments. [7][8][9] Transmissions on different non-overlapping channels do not interfere with each other. Thus, this technology leads to an increase in the number of simultaneous transmissions, which occupies a smaller portion of the scheduling frame.…”

Section: Introductionmentioning

confidence: 99%

IRDB: Towards enjoying spatial, rate, and beam‐channel diversity in wireless networks for multimedia applications

Askari

Avokh

2021

Trans Emerging Tel Tech

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This work studies the problems of routing, beam‐channel selection, space/time division multiple accessing, and admission control for multi‐rate wireless networks equipped with directional antennas. The spatial diversity obtained by directional antennas enables neighboring nodes to use a same physical wireless channel simultaneously. On‐demand multimedia flows are considered, where each accepted multimedia request develops a bandwidth‐guaranteed tree. We propose a cross‐layer algorithm, named “interference and rate‐aware directional broadcasting (IRDB),” to efficiently improve the resource allocation in the network. In order to build the routing tree, the proposed algorithm jointly uses all three spatial, channel, and rate diversities. We also introduce an efficient interference‐ and rate‐aware metric for covering more neighboring nodes at the highest possible rate. As an advantage, it not only reduces the resource consumption, but also decreases interference. IRDB greedily schedules a new admitted session without re‐routing or violating the quality of service constraints of current sessions. Numerical results show that the proposed IRDB scheme achieves improved performance in terms of occupied time slots and call acceptance rate.

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Low-interference multicast routing in multi-radio multi-channel wireless mesh networks using adaptive directional antennas

Cited by 9 publications

References 19 publications

Performance analysis of self‐organised multicast group in multi‐radio multi‐channel wireless mesh networks

Performance analysis of self‐organised multicast group in multi‐radio multi‐channel wireless mesh networks

Q-Learning and MADMM Optimization Algorithm Based Interference Aware Channel Assignment Strategy for Load Balancing in WMNS

IRDB: Towards enjoying spatial, rate, and beam‐channel diversity in wireless networks for multimedia applications

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