Efficient modeling of correlated shadow fading in dense wireless multi-hop networks

Lu, Shani; May, John H R; Haines, Russell

doi:10.1109/wcnc.2014.6951986

Cited by 14 publications

(12 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, we use a correlated shadowing model that was developed in our previous work [13]. It has been shown to agree with the empirically observed single-link and cross-link shadowing properties in WMHNs.…”

Section: Channel Modelmentioning

confidence: 80%

“…For a network size of 100, the simulation time is 38s. For more details on the computational requirements for the correlated shadowing model, we refer the reader to [13].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…This paper contributes a prototype correlated propagation model in the ns-3 [11] simulation environment. In particular, we implement the correlated shadowing model that was developed in our previously published work [13]. We evaluate the effects of correlated shadowing modeling in the context of WSNs, performing studies on WSNs of different sizes and topologies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effects of Correlated Shadowing Modeling on Performance Evaluation of Wireless Sensor Networks

Lu¹,

May

Haines³

2015

2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)

Self Cite

View full text Add to dashboard Cite

Abstract-Wireless links are typically modeled in isolation as independent and parallel links. However, in reality, there is often a correlation in defects and impairments between collocated links. The spatial correlation of shadowing among proximate wireless links has been frequently observed. Although different types of correlated shadowing models have been proposed for wireless channels, these models are not present in popular network simulators. Ignoring such correlations results in the diversity of adjacent links being over-estimated. Our hypothesis is that this could lead to incorrect results when evaluating the performance of wireless systems and network protocols. In this paper, the ns-3 simulation environment has been enhanced with a prototype correlated shadowing model developed in our previously published work. We study the end-to-end packet delivery ratio and delay in wireless sensor networks using both correlated and independent propagation models. Simulation results show that correlated and independent shadowing models produce significant differences in network performance. Moreover, we compare the complexity of different modeling options. It is shown that this correlated propagation model in ns-3 can improve simulation realism without inducing any considerable degradation of scalability.

show abstract

Section: Channel Modelmentioning

confidence: 80%

“…For a network size of 100, the simulation time is 38s. For more details on the computational requirements for the correlated shadowing model, we refer the reader to [13].…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effects of Correlated Shadowing Modeling on Performance Evaluation of Wireless Sensor Networks

Lu¹,

May

Haines³

2015

2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)

Self Cite

View full text Add to dashboard Cite

show abstract

“…In our previous work [12], we improved the NeSh model in terms of both accuracy and efficiency. Our model enables the generation of spatially correlated shadowing for meshed links in multi-hop networks without a large computational overhead.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we apply for the first time the enhanced correlated shadowing model [12] to the reliability analysis of wireless multi-hop networks. In particular, we first model the WMHN as the combination of an undirected graph and the correlated channel model.…”

Section: Introductionmentioning

confidence: 99%

Reliability modeling and prediction of Wireless Multi-Hop Networks with correlated shadowing

Lu¹,

May²,

Haines³

2014

2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)

Self Cite

View full text Add to dashboard Cite

Abstract-Shadowing losses on proximate wireless links have been experimentally proven to be highly correlated in various scenarios. However, most of the existing works on the reliability modeling of Wireless Multi-Hop Networks (WMHNs) assume independent link shadowing. Neglecting shadowing correlations could lead to inaccurate network simulation results and unreliable wireless system design. In this paper, we present a more realistic reliability model of WMHN that incorporates correlated link shadowing. In particular, we use the correlated shadowing model that was developed in our previous work. This model enables the efficient generation of spatially correlated shadowing. It has been proved to agree well with the literature in terms of statistical properties. The proposed network model allows us to predict the reliability metrics of WMHNs and study network designs that can lessen the effect of correlated shadowing. Numerical results indicate that it is important to use the correlated shadowing model when evaluating the reliability of densely deployed large-scale multi-hop networks. We also present some numerical results to show the influence of shadowing correlation on redundant node deployment. This paper makes a small but fundamental step towards reliable wireless multi-hop network design in the context of correlated link shadowing.

show abstract

Improving spectral efficiency via pilot assignment and subarray selection under realistic XL-MIMO channels

Ubiali

Abrão

Marinello

2023

Physical Communication

View full text Add to dashboard Cite

Efficient modeling of correlated shadow fading in dense wireless multi-hop networks

Cited by 14 publications

References 11 publications

Effects of Correlated Shadowing Modeling on Performance Evaluation of Wireless Sensor Networks

Effects of Correlated Shadowing Modeling on Performance Evaluation of Wireless Sensor Networks

Reliability modeling and prediction of Wireless Multi-Hop Networks with correlated shadowing

Improving spectral efficiency via pilot assignment and subarray selection under realistic XL-MIMO channels

Contact Info

Product

Resources

About