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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)
In many sensing applications, including environmental monitoring, measurement systems must cover a large space with only limited sensing resources. One approach to achieve required sensing coverage is to use robots to convey sensors within this space.Planning the motion of these robots – coordinating their paths in order to maximize the amount of(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)
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)
Figure 2. A schematic view of the Networked Infomechanical Systems (NIMS) concept shows mobile nodes suspended on cable infrastructure. This also shows the NIMS capability for sensing, communicating, and transporting sensor nodes throughout a three-dimensional volume. The NIMS infrastructure, shown here enables precise physical reconfiguration in an(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)
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)
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)