A Link-Quality Aware Routing Metric for Multi-hop Wireless Network

Zhou, Yafeng; Chung, Sang-Hwa; Li-hua, Yang; Choi, Hyun Ki

doi:10.1109/iccsn.2009.127

Cited by 8 publications

(17 citation statements)

References 7 publications

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“…3, Inverse SNR has the highest and MinHop has the lowest average packet delivery ratio. Average-SNR technique shows improvement compared to MinHop, which is consistent with the results in [14], but the improvement is only less than 5 percent. The reason for this minor improvement is that Average SNR modifies the route only when there are multiple routes with the same number of hops which is not applicable to all scenarios.…”

Section: B Simulation Resultssupporting

confidence: 80%

“…Our experiments show that our metric provides better delivery performance compared to MinHop [5], ETX [7], [16], MaxMinSNR metric proposed in [9], [13] and the Average SNR metric proposed in [14] for both stationary and mobile network scenarios.…”

Section: Introductionmentioning

confidence: 87%

“…We have conducted simulation results for two wellestablished routing metrics, MinHop [5] and ETX [7] [16], as well as two recently proposed metrics, MaxMinSNR [9] [13] and Average SNR [14], all of which implemented for the DSR routing protocol. The DSR implementation of ETX is done as explained in [16] and the DSR implementation of MaxMinSNR and Average SNR is done similar to the process explained in [13].…”

Section: B Simulation Resultsmentioning

confidence: 99%

“…In [14], MinHop and link quality are considered sequentially. First, the path(s) with the minimum number of hops are extracted.…”

Section: Related Workmentioning

confidence: 99%

“…These efforts resulted in proposing new routing metrics which take into account the quality of wireless channels [7]- [14]. There has been some study to compare the performance of these routing techniques.…”

Section: Introductionmentioning

confidence: 99%

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Outage optimum routing for wireless networks

Amiri

Sadjadpour

Garcia-Luna-Aceves

2011

2011 7th International Wireless Communications and Mobile Computing Conference

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Abstract-A new routing metric for multi-hop wireless ad hoc networks is presented. The proposed metric is based on the computation of Signal-to-Noise Ratio (SNR) and minimization of wireless network outage probability in a fading environment. This metric improves the Quality-of-Service by reducing dropped packets. Further, by modeling the network with a Trellis diagram and then using Viterbi Algorithm to select the best routing path, we reduce the routing complexity of our approach. Simulation results demonstrate the improvement achieved by implementation of this new metric. Performance of the proposed metric is compared to other commonly used routing metrics such as Minimum Hop Count (MinHop), Expected Transmission Count (ETX) and two other SNR-based metrics in both mobile and stationary networks.

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Section: B Simulation Resultssupporting

confidence: 80%

Section: Introductionmentioning

confidence: 87%

Section: B Simulation Resultsmentioning

confidence: 99%

“…In [14], MinHop and link quality are considered sequentially. First, the path(s) with the minimum number of hops are extracted.…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Outage optimum routing for wireless networks

Amiri

Sadjadpour

Garcia-Luna-Aceves

2011

2011 7th International Wireless Communications and Mobile Computing Conference

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Cross‐layer design of outage optimum routing metric for wireless ad hoc networks

Amiri

Sadjadpour

Garcia-Luna-Aceves

2011

Wireless Communications

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A new routing metric for multihop wireless ad hoc networks is presented. The proposed metric is based on the computation of signal-to-noise ratio and path minimization of wireless ad hoc network outage probability in a fading environment. This metric improves the quality of service by reducing the number of dropped packets. Further, by modeling the network with a Trellis diagram and then using Viterbi algorithm to select the best routing path, we reduce the routing complexity of our approach. The performance of the proposed metric is compared with other commonly used routing metrics such as minimum hop count, expected transmission count, and two other signal-to-noise ratio-based metrics in both mobile and stationary networks. Simulation results demonstrate the improvement achieved by this new metric.

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