Stochastic Geometry and Performance Analysis of Large Scale Wireless Networks

Large-scale Wireless Networks: Stochastic Geometry and Ordering

Recently, the location of the nodes in wireless networks has been modeled as point processes. In this dissertation, various scenarios of wireless communications in large-scale networks modeled as point processes are considered. The first part of the dissertation considers signal reception and detection problems with symmetric alpha stable noise which is from an interfering network modeled as a ...

Stochastic Geometry for Wireless Networks

Covering point process theory, random geometric graphs, and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance, and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integra...

Stochastic Geometry and Wireless Networks; Vol.II: Applications

Large Scale Cognitive Wireless Networks

we introduce a demonstration of the large scale cognitive wireless networks, where it opportunistically utilizes network resources including both spectrum bandwidth and radio (wireless station) availability, so as to realize reliable wireless communications. Specifically, the proposed demonstration deals with an application of wireless mesh networks for broadband wireless Internet access, suppo...

Delay Analysis of Large-Scale Wireless Sensor Networks

For wireless sensor network applications, the latency from the sensing of the event to the reporting through the network is critical. In this paper, we try to characterize the delay incurred by sensed packets traversing across the network. We derive the source and destination distance, hop count distribution under typical sensor traffic patterns. Then how various network parameters, such as the...