In this paper, we propose a novel compressive sensing (CS) based approach for sparse
target counting and positioning in wireless sensor networks. While this is not the first work on …

An indoor localization and monitoring system for robots and people is an important issue in
robotics research. Although several monitoring systems are currently under development by …

The long-term goal of this work is to enable agents with low-information sensors to perform
tasks usually restricted to ones with more sophisticated, high-information sensing …

One of the fundamental issues in Wireless Sensor Networks (WSN) is to count and localize
multiple targets accurately. In this context, there has been an increasing interest in the …

To create a context-aware environment, human locations and movement paths must be
considered. In this paper, we propose an algorithm that tracks human movement paths using …

Aggregation is an important and commonplace operation in wireless sensor networks. Due
to wireless interferences, aggregation in wireless sensor networks often suffers from packet …

Recent work has shown that, despite the minimal information provided by a binary proximity
sensor, a network of these sensors can provide remarkably good target tracking …

A fundamental problem in localizing multiple events based on Times of Arrival (ToAs) at a
number of sensors is that of associating ToAs with events. We consider this problem in the …

This paper presents the model and algorithms for traffic flow data monitoring and optimal
traffic light control based on wireless sensor networks. Given the scenario that sensor nodes …

We present a novel approach to the problem of tracking objects moving along smooth
trajectories using a network of simple inexpensive binary sensors. Specifically, we consider …