Interference-aware routing for multi-hop Wireless Mesh Networks

Alotaibi, Eiman; Ramamurthi, Vishwanath; Batayneh, Marwan; Mukherjee, Biswanath

doi:10.1016/j.comcom.2010.06.025

Cited by 15 publications

(6 citation statements)

References 25 publications

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“…The objective is the metric to evaluate the performance of routes. Considering different requests of Quality of Service (QoS), different aspects like Expected Transmission Time (ETT) [11] , Expected Transmission Count (ETX) [12] , throughput [13] , packet error ratio [14] , energy consumption [15] , hop count [16] and so on can be considered. When solving the established routing optimization problem, genetic algorithm (GA) [11] , particle swarm optimization [17] , multi-objective differential evolution (MODE) [18] , ant colony optimization (ACO) [19] , reinforcement learning [20,21] , fuzzy logic [22,23] , etc.…”

Section: Routing Designmentioning

confidence: 99%

The development of green wireless mesh network: A survey

Chai¹,

Zeng²

2021

JSEGC

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Wireless mesh network (WMN) is a type of self-healing, self-configuration, and peer-to-peer wireless network. Without expensive and fixed base stations, WMN can be established fast, easily, and flexibly at a low cost. The convenience and flexibility of establishing WMN brings a wide range of applications. The request of high bandwidth, high coverage and high transmission rate can be satisfied. Current research on WMN involves routing, resource allocation, mobility control, security and so on. With the increasing concern of green communication, improving energy efficiency is more and more important nowadays. As energy harvesting can overcome energy constraints and extend the network lifetime, it has attracted the great attention from many researchers when designing network. Further, WMN is an important networking mode in next-generation communication to guarantee the quality of service and reduce the networking complexity. Due to such importance, a survey of the research and development in WMN including the future research direction and opportunities is given in this paper.

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Section: Routing Designmentioning

confidence: 99%

The development of green wireless mesh network: A survey

Chai¹,

Zeng²

2021

JSEGC

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“…The advantage of this metric comparing to other two is improvement on throughput and reliability and minimum energy consumption. However, to the best of our knowledge none of the metrics provided on recent research such as [1] to [8] consider the overall throughput of the multiple flows simultaneously in the network.…”

Section: Metxmentioning

confidence: 99%

IMRP: interference-aware multicasting for multiple flows in WMNs.

Farmani¹

2021

Preprint

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Multicast is an important routing service for many of fundamental applications such as Webcasting, Video Streaming or Conferencing, Online Games. On the other hand, as much as Wireless Mesh Networks (WMNs) are growing and become more complex, the need for modification of Multicast Routing for WMNs with different constraints are increased as well. Therefor Researches on multicasting in WMN is still in initial stage. We focused on Multicasting over Single Channel WMNs with multiple group flows scenario. The main challenge on this scenario is the impact of interference between multiple flows on the performance of multicast flows. By increasing number of receiver nodes in a single channel area, the interference caused by multiple simultaneous flows in the network cannot be fully avoidable, but implementing a proper routing helps to improve the performance of the flows. In this research, we develop a new interference-aware routing metrics and implement it in our purposed routing scheme (IMRP) for multicasting multiple flows in WMNs. Our purposed metrics takes some new defined attributes of routing path into account. The purposed scheme is evaluated by simulating on Riverbed Modeller 17.5. Simulation and testbed experiments show that our proposed routing significantly improves the total Throughput as well as total Packet Delivery Ratio of multicast flows compared to existing standards.

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“…The weight values of these parameters will be different according to different quality of service (QoS) flow types. The routing proposed in [10] builds a mixed integer linear program model by maximizing throughput. Different interference relationships are considered when calculating link capacity.…”

Section: Related Workmentioning

confidence: 99%

An Effective Routing with Delay Minimization for Multi-Hop Wireless Mesh Network

Chai

Zeng

2019

2019 IEEE Global Communications Conference (GLOBECOM)

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As wireless communication develops rapidly, nextgeneration networks have higher demand for short delay. Routing is an important part of network configuration, and can influence the network performance including delay significantly. Thus designing an effective routing is essential. To achieve the global best network performance, the problem of routing can be modeled as a mathematical optimization problem. An effective routing with the objective of delay minimization for multi-hop wireless mesh network (RODM) is proposed in this paper. Delay is derived according to interference, bandwidth and probability of transmission failure. As the link between two neighboring nodes is bidirectional, RODM considers the asymmetrical transmission failure probabilities of two-direction links between two neighbor nodes. The relationship between delay and the number of interfering nodes is then built. To solve this optimization problem, an improved genetic algorithm is proposed to balance load. The dynamic network performance produced by different chosen routes is also considered. Simulation results show that RODM can obtain better network performance.

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Interference-aware routing for multi-hop Wireless Mesh Networks

Cited by 15 publications

References 25 publications

The development of green wireless mesh network: A survey

The development of green wireless mesh network: A survey

IMRP: interference-aware multicasting for multiple flows in WMNs.

An Effective Routing with Delay Minimization for Multi-Hop Wireless Mesh Network

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