Load-aware cooperative hybrid routing protocol in hybrid wireless mesh networks

Chai, Yuan; Shi, Wenxiao; Shi, Tianhe

doi:10.1016/j.aeue.2017.02.002

Cited by 17 publications

(11 citation statements)

References 39 publications

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“…The path selection in network layer is motivated to improve flow performance considering link/path quality [25], dynamic link conditions [26] and path capacity [27]. In order to mitigate inter-flow interference and avoid bottleneck formation along a routing path, [25] proposed a load-balancing routing metric that computes link quality considering link availability, loss rate and available bandwidth.…”

Section: Related Workmentioning

confidence: 99%

High-Throughput Link-Channel Selection and Power Allocation in Wireless Mesh Networks

et al. 2019

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Varying channel conditions, dynamic traffic flows, interference and congestion are the main challenges to achieve high-throughput data delivery in multi-radio multi-channel Wireless Mesh Networks (WMNs). The performance of existing solutions are limited either for using statically computed end-to-end relay paths or myopic forwarding decisions. In this paper, we consider the problem of high-throughput traffic forwarding that involves good quality link selection, channel allocation and power control at each forwarding router. Every router chooses a set of outgoing link-channel pairs and their power allocations through a mixedinteger-non-linear programming (MINLP) solution that maximizes its sum total outgoing flow rate while keeping interference and congestion at minimum. Since, the MINLP optimization function is an NP-hard one, a Reinforcement learning based system for Link-Channel selection and Power allocation, namely RLCP, is developed. A comprehensive design of the RLCP system has been presented containing portrayal of the system state, design of a reputation metric and a mechanism to learn the control policy. We have carried out exhaustive simulations on NS-3 and found the proposed RLCP system to prove its efficacy in terms of aggregated throughput, flow fairness and packet delivery delay. INDEX TERMS High-throughput, link-channel selection, power allocation, reinforcement learning, wireless mesh networks.

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Section: Related Workmentioning

confidence: 99%

High-Throughput Link-Channel Selection and Power Allocation in Wireless Mesh Networks

et al. 2019

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“…To improve network performance, the algorithm fully considers partially overlapped and orthogonal channels. Chai et al [24] have presented a load-aware cooperative hybrid routing protocol, which was not only adapted to cover the peculiarities of clients and routers, but also considers load in routing. For MRs and clients different load levels were set.…”

Section: Literature Survey: a Brief Reviewmentioning

confidence: 99%

MO‐CSO‐based load‐balanced routing in MRMC WMN

2019

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“…Besides, it only uses queue length to evaluate load, which overlooks the influence of interference and bandwidth. LA-CHRP [17] considers the load condition of current access mesh routers during the access process, but it neglects the regional condition.…”

Section: Existing Routing Protocols For Hybrid Wmnmentioning

confidence: 99%

“…To meet the fairness QoS constraint, when the residual energy of mesh clients is lower than 10%, this means that the nodes are really low on the battery level and should only be used if there is no other cost-effective alternative. To avoid using this mesh client as far as possible, W j is set to be 10 [17] to fully distinguish it from others.…”

Section: B Client-oriented Trafficmentioning

confidence: 99%

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Load and Energy Aware Hybrid Routing Protocol for Hybrid Wireless Mesh Networks

Chai

Zeng

2019

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)

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Effective routing protocols considering network features can improve network performance dramatically. As hybrid wireless mesh network (WMN) is composed of static mesh routers and mobile mesh clients, hybrid routing protocol fits hybrid WMN well. However, the existing hybrid routing protocols designed for hybrid WMN do not fully consider the regional network condition, and as a result cannot effectively improve network performance as a whole. In this paper, a load and energy aware hybrid routing protocol (LE-HRP) is proposed. In LE-HRP, gateway-and clientoriented traffic are considered respectively. The queuing delay which can measure the load condition is taken into account in both traffic types. In the process of calculating delay, both physical and logical interferences are considered. In addition, for client-oriented traffic, as energy of mesh clients is limited, in addition to reducing delay, the energy efficiency is also improved in the meantime. A mesh client with low energy can still be used if it can help the network reduce the delay significantly and sufficiently. Otherwise, a mesh client with more residual energy will be chosen. Simulation results through NS3 show that LE-HRP achieves better network performance.

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Load-aware cooperative hybrid routing protocol in hybrid wireless mesh networks

Cited by 17 publications

References 39 publications

High-Throughput Link-Channel Selection and Power Allocation in Wireless Mesh Networks

High-Throughput Link-Channel Selection and Power Allocation in Wireless Mesh Networks

MO‐CSO‐based load‐balanced routing in MRMC WMN

Load and Energy Aware Hybrid Routing Protocol for Hybrid Wireless Mesh Networks

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