Learn More
51 For pervasive computing performance, exploit the physical limits of these densely distributed networks of embedded sensors, controls, and processors. W ireless integrated network sensors (WINS) provide distributed network and Internet access to sensors, controls, and processors deeply embedded in equipment, facilities, and the environment. The WINS(More)
Networked Infomechanical Systems (NIMS) introduces a new actuation capability for embedded networked sensing. By exploiting a constrained actuation method based on rapidly deployable infrastructure, NIMS suspends a network of wireless mobile and fixed sensor nodes in three-dimensional space. This permits run-time adaptation with variable sensing location,(More)
The need for efficient monitoring of spatio-temporal dynamics in large environmental applications , such as the water quality monitoring in rivers and lakes, motivates the use of robotic sensors in order to achieve sufficient spatial coverage. Typically, these robots have bounded resources, such as limited battery or limited amounts of time to obtain(More)
When monitoring spatial phenomena, such as the ecological condition of a river, deciding where to make observations is a challenging task. In these settings, a fundamental question is when an active learning, or sequential design, strategy, where locations are selected based on previous measurements, will perform significantly better than sensing at an a(More)
The capabilities and distributed nature of networked sensors are uniquely suited to the characterization of distributed phenomena in the natural environment. However, environmental characterization by fixed distributed sensors encounters challenges in complex environments. In this paper we describe Networked Infomechanical Systems (NIMS), a new distributed,(More)
Many robotic path planning applications, such as search and rescue, involve uncertain environments with complex dynamics that can be only partially observed. When selecting the best subset of observation locations subject to constrained resources (such as limited time or battery capacity) it is an important problem to trade off exploration (gathering(More)
1 Figure 1. Networked Infomechanical Systems (NIMS) introduces a hierarchy of fixed and mobile sensing nodes and infrastructure enabling access to complex, three dimensional environments. NIMS mobility provides novel methods for establishing self-awareness of sensing uncertainty. Further, examples of new NIMS distributed services include node transport,(More)
We recently used the Atom LEAP (a new energy measurement testbed developed at UCLA) as the foundation for CS 188, an undergraduate research seminar investigating potential trade-offs between security and energy consumption. Twenty-three students, in five groups, researched the energy costs of full disk encryption, network cryptography, and sandboxing(More)
Monitoring of environmental phenomena with embedded networked sensing confronts the challenges of both unpredictable variability in the spatial distribution of phenomena, coupled with demands for a high spatial sampling rate in three dimensions. For example, low distortion mapping of critical solar radiation properties in forest environments may require(More)
A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image(More)