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Articles 1 - 7 of 7
Full-Text Articles in Engineering
Wispernet: Anti-Jamming For Wireless Sensor Networks, Miroslav Pajic, Rahul Mangharam
Wispernet: Anti-Jamming For Wireless Sensor Networks, Miroslav Pajic, Rahul Mangharam
Rahul Mangharam
Resilience to electromagnetic jamming and its avoidance are difficult problems. It is often both hard to distinguish malicious jamming from congestion in the broadcast regime and a challenge to conceal the activity patterns of the legitimate communication protocol from the jammer. In the context of energy-constrained wireless sensor networks, nodes are scheduled to maximize the common sleep duration and coordinate communication to extend their battery life. This results in well-defined communication patterns with possibly predictable intervals of activity that are easily detected and jammed by a statistical jammer. We present an anti-jamming protocol for sensor networks which eliminates spatio-temporal patterns …
Demo Abstract: Embedded Virtual Machines For Wiress Industrial Automation, Rahul Mangharam, Miroslav Pajic, Shivakumar Sastry
Demo Abstract: Embedded Virtual Machines For Wiress Industrial Automation, Rahul Mangharam, Miroslav Pajic, Shivakumar Sastry
Rahul Mangharam
The factory of the future is the Wireless Factory - fully programmable, nimble and adaptive to planned mode changes and unplanned faults. Today automotive assembly lines loose over $22,000 per minute of downtime. The systems are rigid, difficult to maintain, operate and diagnose. Our goal is to demonstrate the initial architecture and protocols for all-wireless factory control automation. Embedded wireless networks have largely focused on open-loop sensing and monitoring. To address actuation in closed-loop wireless control systems there is a strong need to re-think the communication architectures and protocols for reliability, coordination and control. As the links, nodes and topology …
Anti-Jamming For Embedded Wireless Networks, Miroslav Pajic, Rahul Mangharam
Anti-Jamming For Embedded Wireless Networks, Miroslav Pajic, Rahul Mangharam
Rahul Mangharam
Resilience to electromagnetic jamming and its avoidance are difficult problems. It is often both hard to distinguish malicious jamming from congestion in the broadcast regime and a challenge to conceal the activity patterns of the legitimate communication protocol from the jammer. In the context of energy-constrained wireless sensor networks, nodes are scheduled to maximize the common sleep duration and coordinate communication to extend their battery life. This results in well-defined communication patterns with possibly predictable intervals of activity that are easily detected and jammed by a statistical jammer. We present an anti-jamming protocol for sensor networks which eliminates spatio-temporal patterns …
Embedded Virtual Machines For Robust Wireless Control Systems, Rahul Mangharam, Miroslav Pajic
Embedded Virtual Machines For Robust Wireless Control Systems, Rahul Mangharam, Miroslav Pajic
Rahul Mangharam
Embedded wireless networks have largely focused on open loop sensing and monitoring. To address actuation in closed loop wireless control systems there is a strong need to re-think the communication architectures and protocols for reliability, coordination and control. As the links, nodes and topology of wireless systems are inherently unreliable, such time-critical and safety-critical applications require programming abstractions where the tasks are assigned to the sensors, actuators and controllers as a single component rather than statically mapping a set of tasks to a specific physical node at design time. To this end, we introduce the Embedded Virtual Machine (EVM), a …
Adaptive Energy Management Scheme In Real-Time Energy Harvesting Embedded Systems, Shruti Khare
Adaptive Energy Management Scheme In Real-Time Energy Harvesting Embedded Systems, Shruti Khare
Master's Theses
The main purpose of this thesis was to develop an online adaptive energy management scheme for energy harvesting embedded systems. Two energy prediction schemes were used, namely Exponentially Weighted Moving Average (EWMA) and Adaptive Forward Prediction (AFP), to schedule all the tasks with least deadline miss rate. The AFP scheme has a mean relative error of 6-10% which is much lower than exponentially weighted moving average (EWMA) algorithm with an error of 30%. The large difference in the error percentage between the two prediction algorithms is due to the adaptive nature of AFP as it tracks small changes in input …
Wireless Sensor Network For Wine Fermentation, Kerry Scharfglass, Andrew Lehmer
Wireless Sensor Network For Wine Fermentation, Kerry Scharfglass, Andrew Lehmer
Computer Engineering
This project implements an automated temperature monitoring system for wine fermentation which is affordable, easy to use, and scalable to typical small winery setups. To realize these requirements, we implemented the system as a wireless sensor network utilizing commercial off-the-shelf hardware. Temperature and system diagnostic information is communicated wirelessly in a peer-to-peer network topology such that all information flows toward an aggregating server. The server makes the temperature information available over the Internet via a web application and alerts the winemaker by email when the temperature has left acceptable bounds that the winemaker may configure. This project also involved materials …
A Model Predictive Control Approach To Roll Stability Of A Scaled Crash Avoidance Vehicle, Nikola John Linn Noxon
A Model Predictive Control Approach To Roll Stability Of A Scaled Crash Avoidance Vehicle, Nikola John Linn Noxon
Master's Theses
In this paper, a roll stability controller (RSC) is presented based on an eight degree of freedom dynamic vehicle model. The controller is designed for and tested on a scaled vehicle performing obstacle avoidance maneuvers on a populated test track. A rapidly-exploring random tree (RRT) algorithm is used for the vehicle to execute a trajectory around an obstacle, and examines the geographic, non-homonymic, and dynamic constraints to maneuver around the obstacle. A model predictive controller (MPC) uses information about the vehicle state and, based on a weighted performance measure, generates an optimal trajectory around the obstacle. The RSC uses the …