Rare event prediction involves identifying and forecasting events with a low probability using
machine learning (ML) and data analysis. Due to the imbalanced data distributions, where …

As the field of communications networks continues to evolve, the challenging area of
wireless sensor networks is rapidly coming of age. Recent advances have made it possible …

Global synchronization is important for many sensor network applications that require
precise mapping of collected sensor data with the time of the events, for example, in tracking …

In most distributed systems, naming of nodes for low-level communication leverages
topological location (such as node addresses) and is independent of any application. In this …

Sensors have limited precision and accuracy. They extract data from the physical
environment, which contains noise. The goal of sensor fusion is to make the final decision …

Collaboration in sensor networks must be fault-tolerant due to the harsh environmental
conditions in which such networks can be deployed. We focus on finding algorithms for …

This paper addresses the problem of detection and identification of sensor attacks in the
presence of transient faults. We consider a system with multiple sensors measuring the …

In this Chapter, we address fault tolerance in wireless sensor networks. In order to make the
presentation self-contained, we start by providing a short summary of sensor networks and …

We develop an integer linear programming formulation to find the minimum cost deployment
of sensors that provides the desired coverage of a target point set and propose a greedy …

This article focuses on the design of safe and attack-resilient Cyber-Physical Systems (CPS)
equipped with multiple sensors measuring the same physical variable. A malicious attacker …