A wireless sensor network (WSN) consists of two sets of nodes: sensors and actors, where the set of sensors performs all the sensing (data collection) from their surrounding environment. Since sensors operate by batteries, then they are limited with their processing and communication capabilities due to the short life-span of the batteries. On the other hand, the set of actors has more capabili...

Advanced control of distributed energy resources at the consumer level requires full situational awareness of the distribution system. This is typically performed by a topology identification and state estimation. In a distribution system, the topology is usually unknown since it depends on switch configurations on the network. In the case of residential feeders, switches may be passive compone...

Advanced control of distributed energy resources at the consumer level requires full situational awareness of the distribution system. This is typically performed by a topology identification and state estimation. In a distribution system, the topology is usually unknown since it depends on switch configurations on the network. In the case of residential feeders, switches may be passive compone...

A wireless sensor network (WSN) consists of two sets of nodes: sensors and actors, where the set of sensors performs all the sens ing (data collection) from their surrounding environment. Since sensors operate by batteries, then they are limited with their processing and communication capabilities due to the short life-span of the batteries. On the other hand, the set of actors has more capabil...

Real-time visual feedback is an important capability that many robotic systems must possess if these systems are to operate successfully in dynamically varying and/or uncalibrated environments. An eye-in-hand system is a common technique for providing camera motion to increase the working region of a visual sensor. Although eye-in-hand robotic systems have been well-studied, several deficienci...

We first consider a stochastic optimization problem where the solution needs to be constructed upfront just based on probabilistic information about the inputs. In the sensor placement problem, there are n candidate locations where sensors can be placed, and k ! n sensors. The locations sense correlated data, and the goal is to place the sensors in a fashion that maximizes the amount of informa...

It is commonly accepted that the requirements for maintenance and diagnosis should be considered at the earliest stages of design. For this reason, methods for analysing the diagnosability of a system and determining which instrumentation is needed to achieve the desired level of diagnosability, are highly valued. This paper presents a method for: • Assessing the degree of diagnosability of a s...

Ad-hoc networks of devices and sensors with (limited) sensing and wireless communication capabilities are becoming increasingly available for commercial and military applications. Under a national SensorNet initiative, we have built prototype deployment of a detection, identification, and tracking sensor-cyber network in a variety of locations including Washington D.C. and Port of Memphis. One ...

Power and energy consumption is a fundamental issue in Body Sensor Networks (BSNs) since nodes must operate properly and autonomously for a certain period of time without battery replacement or change. This is due to the fact that the sensors in BSNs are either implanted in the body or are in very near position to the body. Thus, the duration of replacing the batteries should be of utmost impor...

Autonomous sensor planning is a problem of interest to scientists in the fields of computer vision, robotics, and photogrammetry. In automated visual tasks, a sensing planner must make complex and critical decisions involving sensor placement and the sensing task specification. This paper addresses the problem of specifying sensing tasks for a multiple manipulator workcell given an optimal sens...