Interference optimization for multicast and broadcast traffics in multi-radio multi-channel WMNs equipped with directional antennas

Avokh, Avid; Mirjalily, Ghasem

doi:10.1016/j.aeue.2017.10.008

Cited by 13 publications

(10 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors in [9] address the interference optimisation problem for multicast/broadcast traffics in MCMR WMNs equipped with directional antennas. They proposed a Mixed Integer Linear Programming (MILP) formulation named 'Minimum Interference and Transmission Tree with Directional Antenna (MITT-DA)' to jointly select the best multicast/broadcast routing tree, antenna beam, and transmission channel.…”

Section: Related Workmentioning

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%

See 1 more Smart Citation

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

et al. 2020

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

“…The investigation of this channel assignment method is to increase the network throughput efficiently and also optimize the performance of the average end-to-end delay of packet delivery and average packet delivery ratio [12]. 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].…”

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

View full text Add to dashboard Cite

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.

show abstract

“…To our knowledge, this is the first work that simultaneously studies routing, beam‐channel selection, TDMA, SDMA, and admission control in multi‐rate wireless networks. The main related works are References 13‐17 with fundamental differences. The work in Reference 13 assumes a single‐rate framework with fixed main‐lobe directional antennas.…”

Section: Introductionmentioning

confidence: 99%

“…The main related works are References 13‐17 with fundamental differences. The work in Reference 13 assumes a single‐rate framework with fixed main‐lobe directional antennas. While our study not only uses the multi‐rate technology, but also steers the main‐lobe of directional antennas adaptively.…”

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Interference optimization for multicast and broadcast traffics in multi-radio multi-channel WMNs equipped with directional antennas

Cited by 13 publications

References 28 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

Contact Info

Product

Resources

About