Routing Metrics for Wireless Mesh Networks: A Survey

Zhao, Liang; Al‐Dubai, Ahmed

doi:10.1007/978-3-642-25769-8_45

Cited by 13 publications

(6 citation statements)

References 16 publications

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“…As future works, we proposed to consider multi-radio WMNs and also consider other routing metrics [12,13] such as ETX and ETT or load balancing routing metrics [14] instead of hop-count.…”

Section: Simulation Resultsmentioning

confidence: 99%

A distributed learning automata based gateway load balancing algorithm in Wireless Mesh Networks

Kashanaki

Beheshti

Meybodi

2012

2012 International Symposium on Instrumentation &Amp; Measurement, Sensor Network and Automation (IMSNA)

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Wireless Mesh Networks (WMNs) are a rapidly maturing technology for providing high bandwidth broadband service to a large community of users. In WMNs, gateway nodes act as a central point of connectivity to the wired infrastructure (typically the Internet). Therefore traffic aggregation occurs in the paths leading to a gateway and due to the limited wireless link capacity, these nodes are likely to be potential bottlenecks. In this paper, we propose a distributed load balancing algorithm to achieve load balancing on gateway nodes which leads to efficient traffic allocation as well as maximum use of network capacity. This algorithm uses Learning Automata in order to select the appropriate gateway node to send traffic. Evaluation results demonstrate that the proposed scheme largely avoids congestion and can effectively balance the traffic.

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“…As future works, we proposed to consider multi-radio WMNs and also consider other routing metrics [12,13] such as ETX and ETT or load balancing routing metrics [14] instead of hop-count.…”

Section: Simulation Resultsmentioning

confidence: 99%

A distributed learning automata based gateway load balancing algorithm in Wireless Mesh Networks

Kashanaki

Beheshti

Meybodi

2012

2012 International Symposium on Instrumentation &Amp; Measurement, Sensor Network and Automation (IMSNA)

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“…In real scenarios, such our experiments, we clearly note the important packet loss rate and delay made by ETX while increasing the traffic load or the packet size. However, WCETTLB has the same problem as WCETT does (Zhao et al, 2012). Moreover, ETX assumes all links run at one bit-rate and probes are sent in broadcast at the network basic physical rate.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, ETX assumes all links run at one bit-rate and probes are sent in broadcast at the network basic physical rate. Therefore, smaller IAR presents a path with low traffic (Zhao et al, 2012). When links data rates are not accounted for, a short path with lower ETX may be chosen over another longer path with higher ETX albeit the latter may be able to support a higher overall throughput and less end-to-end delay.…”

Section: Discussionmentioning

confidence: 99%

Towards an optimised traffic-aware routing in wireless mesh networks

Houaidia¹,

Idoudi

Bossche³

et al. 2014

IJSSC

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In this paper, we study through simulations the impact of PHY/MAC protocols on higher layers. In a comparative way, we investigate the effectiveness of some protocols when they coexist on a wireless mesh network environment. Results show that PHY/MAC parameters have an important impact on routing performances. Based on these results, we propose two traffic-aware routing metrics based on link availability. The information about the link availability/occupancy is picked up from lower layers using a cross-layer approach. The first metric is load-sensitive and aims to balance the traffic load according to the availability of a link to support additional flows. The second metric reproduces better the capacity of a link since it is based on its residual bandwidth. Using several real experiments, we have shown that our proposals can accurately determine better paths in terms of throughput and delay. Our experiments are carried out into a heterogeneous IEEE 802.11n-based network running with OLSR routing protocol.

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“…Instead, the work in [7] proposed Expected Transmission Count (ETX) as metric. Other works such as [8], [9], [10] compared and designed different metrics for wireless network routing. However, none of these proposals are applicable for us because acknowledgment packets are required.…”

Section: Improving the Original Recipe A Minimizing Error Rather Than...mentioning

confidence: 99%

Relay selection in Bluetooth Mesh networks by embedding genetic algorithms in a Digital Communication Twin

Wieme

Baert

Hoebeke

2022

2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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Bluetooth Mesh (BM) technology is a suitable candidate to realize mesh networks leveraging on a mains-powered backbone. However, the flooding-based technology requires additional management in order to operate efficiently. Consequently, it offers a diverse set of configuration options to control network behavior, including the selection of relays in the backbone that rebroadcast packets further into the network. In the past, Digital Twin technology has been applied to design a Digital Communication Twin (DCT) of a BM network. The DCT (or Digital Twin Network, DTN) can be used to find an optimal network configuration for given application requirements. This includes a relay selection approach that finds a set of relays to assure sufficient path redundancy in the network. However, existing results prove that this approach can be improved in terms of computation time, flexibility and validity of the proposed set of relays. In this paper, we present a reinterpreted version of a genetic algorithm to tackle this issue. The results show it achieves better results on all three improvement targets, compared to the original approach. Furthermore, it showcases the flexibility and adaptability of the DCT whilst adequately improving the relay selection approach.

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Routing Metrics for Wireless Mesh Networks: A Survey

Cited by 13 publications

References 16 publications

A distributed learning automata based gateway load balancing algorithm in Wireless Mesh Networks

A distributed learning automata based gateway load balancing algorithm in Wireless Mesh Networks

Towards an optimised traffic-aware routing in wireless mesh networks

Relay selection in Bluetooth Mesh networks by embedding genetic algorithms in a Digital Communication Twin

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