Spatial networks with wireless applications
Carl Dettmann, Orestis Georgiou, Pete Pratt
TL;DR
This paper reviews recent research on spatial networks, focusing on how geometry, node distribution, mobility, and interference influence wireless network connectivity and performance.
Contribution
It provides a comprehensive overview of recent developments in modeling and analyzing spatial networks with wireless applications, emphasizing geometric and probabilistic factors.
Findings
Geometry significantly impacts network connectivity.
Node distribution affects link probability and network robustness.
Interference plays a critical role in wireless network performance.
Abstract
Many networks have nodes located in physical space, with links more common between closely spaced pairs of nodes. For example, the nodes could be wireless devices and links communication channels in a wireless mesh network. We describe recent work involving such networks, considering effects due to the geometry (convex,non-convex, and fractal), node distribution, distance-dependent link probability, mobility, directivity and interference.
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