IRS-Aided Wireless Relaying: Deployment Strategy and Capacity Scaling

Quasi Random Deployment Strategy for Reliable Communication Backbones in Wireless Sensor Networks

Topology construction and topology maintenance are significant sub-problems of topology control. Spanning tree based algorithms for topology control are basically transmission range based type construction algorithms. The construction of an effective backbone, however, is indirectly related to the placement of nodes. Also, the dependence of network reliability on the communication path undertak...

Wireless Sensor Networks Scaling and Deployment in Industrial Automation

This project performs analyses and simulation of a comprehensive wireless sensor network for the Industrial Automation application. Utilizing the WirelessHART architecture, the proposed network consists of 1 million motes within an area of 10 km. Each mote contains a single sensor, which samples vibration, pressure, temperature, flow, tank level, or corrosion. This project creates an end-to-end...

Analysing Capacity Improvements in Wireless Networks by Relaying

Capacity-Delay Scaling in Arbitrary Wireless Networks

Gupta and Kumar (2000) studied capacity scaling in random wireless networks with n nodes under the protocol interference model. They showed that the per source-destination pair capacity scales as Θ(1/ √ n logn) when n distinct random source-destination pairs communicate simultaneously. For the same setup, El Gamal, Mammen, Prabhakar and Shah (2004) showed that the delay scales as Θ( √ n/ logn)....

Capacity scaling in large wireless networks

We consider networks consisting of nodes with radios, and without any wired infrastructure, thus necessitating all communication to take place only over shared wireless medium. We focus mainly on the flat fading channel model. We study capacity scaling laws in such systems when the number of nodes gets large. We show that in extended networks (network with constant density of users) capacity sc...