Performance Analysis of Multihop Underground Magnetic Induction Communication

A Testbed of Magnetic Induction-based Communication System for Underground Applications

Wireless underground sensor networks (WUSNs) can enable many important applications such as intelligent agriculture, pipeline fault diagnosis, mine disaster rescue, concealed border patrol, crude oil exploration, among others. The key challenge to realize WUSNs is the wireless communication in underground environments. Most existing wireless communication systems utilize the dipole antenna to t...

Performance Analysis of Wireless Multihop Data Networks

We consider wireless multihop data networks with random multi-access mechanisms at the MAC layer. In general, our aim is to study the performance as perceived by users in a dynamic setting where data flows are generated randomly by users and cease upon completion. This task comprises two major difficulties: first, the behavior of random multi-access algorithms at slot-level in a multi-hop netwo...

Performance Analysis of Generalized Multihop Shuffle Networks

This paper describes the performance analysis of a class of two-connected multihop shuf lenets , known as generalized s h u f l e networks. The topology of such networks is described mathematically b y the equation N = kn, where N is the total number of nodes in the network, k the number of stages i n the network and n the number of nodes in each stage. Compared t o classical shuf lenets , the ...

Reliable Multihop Real-Time Communication

Empirical Evaluation of Wireless Underground-to-Underground Communication in Wireless Underground Sensor Networks

Many applications for irrigation management and environment monitoring exploit buried sensors wired-connected to the soil surface for information retrieval. Wireless Underground Sensor Networks (WUSNs) is an emerging area of research that promises to provide communication capabilities to these sensors. To accomplish this, a reliable wireless underground communication channel is necessary, allow...