Correlated link shadow fading in multi-hop wireless networks

By Piyush Agrawal, Neal Patwari. IEEE Transactions on Wireless Communications, 2008

315 citations recorded by the source corpus.

Accurate representation of the physical layer is required for analysis and simulation of multi-hop networking in sensor, ad hoc, and mesh networks. Radio links that are geographically proximate often experience similar environmental shadowing effects and thus have correlated shadowing. This paper presents and analyzes a non-site-specific statistical propagation model which accounts for the correlations that exist in shadow fading between links in multi-hop networks. We describe two measurement campaigns to measure a large number of multi-hop networks in an ensemble of environments. The measurements show statistically significant correlations among shadowing experienced on different links in the network, with correlation coefficients up to 0.33. Finally, we analyze multi-hop paths in three and four node networks using both correlated and independent shadowing models and show that independent shadowing models can underestimate the probability of route failure by a factor of two or greater.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/928da2f0e79dc2b7b8deadd9a93411dc0ef1bdbf

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Citations in the corpus

Location-Aware Communications for 5G Networks: How location information can improve scalability, latency, and robustness of 5G (2014, methodology): “For instance, in the case of ad hoc networks, [9] proposes a model where shadow fading is due to an underlying spatial loss field.”
Radio Tomographic Imaging with Wireless Networks (2010, unknown): “In accordance with these studies, dividing by the square root of the link distance ensures that the voxel weighting takes this into account [16].”
Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking (2009, background): “In general, two links which cover similar ground may experience correlated shadowing (Agrawal and Patwari, 2008).”
RF Sensor Networks for Device-Free Localization: Measurements, Models, and Algorithms (2010, methodology): “The linear model for shadowing loss is based on correlated shadowing models [50], [57] and earlier linear partition-loss models [58].”
A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G (2023, background): “One possible approach is to model the location uncertainty as a probability distribution function (PDF), based on which its impact on channel prediction can be analyzed.”
See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks (2011, methodology): “One such statistical model has been described for link shadowing is the normalized elliptical model [1], [22].”