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This paper present and analyze an energy efficient data compression and data aggregation algorithm which results in the whole network lifetime prolonged by about 24%. In this paper, a new idea is proposed for sensor values compression based on a technique that involves feedback mechanism. In this technique, the base node in the sensor network generates Huffman code for the sensor data that needs to...
We present a layered decomposition approach that permits a holistic solution to the storage, scheduling and pricing problems of Electric Vehicle (EV) Charging Stations. By exploiting time scales, these problems can be decomposed and solved layer by layer. In the top layer, at a long time scale, with grid power price and renewable energy represented by their long-term averages, and total demand following...
Hou et al. have analyzed wireless networks where clients served by an access point require a timely-throughput of packets to be delivered by hard per-packet deadlines and also proved the timely-throughput optimality of certain debt-based policies. However, this is a weak notion of optimality; there might be long time intervals in which a client does not receive any packets, undesirable for real-time...
This paper proposes a novel heuristic method known as Loop-Eliminating (L-E) method for Distribution System Network Reconfiguration. Network reconfiguration is the process of altering the topological structure of the electrical distribution system by changing the status of sectionalizing switches/tie switches. Network Reconfiguration can be used as a multi objective tool to solve various problems...
We describe a low-cost vision-based sensing and positioning system that enables intelligent vehicles of the future to autonomously drive in an urban environment with traffic. The system was built by integrating Sarnoff's algorithms for driver awareness and vehicle safety with commercial off-the-shelf hardware on a robot vehicle. We implemented a modular and parallelized software architecture that...
We present a method for obtaining a discrete abstraction of a hybrid system modeled as an input-output hybrid automaton (I/O-HA), generalizing our earlier work on linear hybrid automaton with no inputs or outputs. The discrete abstraction we present preserves the discrete behaviors (the set of state trajectories sampled at instances immediately after the discrete transitions) of an I/O-HA, and thus...
The problem of decentralized modular fault diagnosis of concurrent discrete event systems, that is composed of a set of component modules, is formulated and studied. In the proposed decentralized modular framework, diagnosis is performed by the local diagnosers, located at the component sites, using their own local observations. This is to ensure the scalability of the approach with respect to the...
We study the prognosis of failures, i.e., their prediction prior to their occurrence, in discrete event systems in a decentralized setting where multiple prognosers use their local observations to issue local prognosis decisions. We define the notion of correctness of a decentralized set of prognosers in terms of ldquono missed detectionsrdquo (each failure is prognosed prior to its occurrence) and...
Discrete event control is typically designed under the synchronous hypothesis that sensing and actuation incur zero delays, i.e., there exists zero delay between an event execution at a plant site and its observation at a controller site, and also between a control computation at a controller site and its enforcement at a plant site. An actual implementation, however, is asynchronous, introducing...
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