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11
On optimal transmission policies for energy harvesting devices
- In Proc. Information Theory and Application (ITA) Workshop
, 2012
"... Abstract Wireless sensors can be integrated with rechargeable batteries and energy harvesting (EH) devices to allow for long-term, autonomous operation. To this end, efficient energy management policies are needed. Existing research relies on the assumption that the energy available to the sensor i ..."
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Cited by 12 (3 self)
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Abstract Wireless sensors can be integrated with rechargeable batteries and energy harvesting (EH) devices to allow for long-term, autonomous operation. To this end, efficient energy management policies are needed. Existing research relies on the assumption that the energy available to the sensor is known; however, the accurate estimation of the battery state-of-charge (SOC) in real-world devices is typically costly or impractical. This paper investigates the impact of imperfect SOC knowledge, and tackles the design of optimal operation policies to cope with such imperfect knowledge. The performance degradation with respect to the idealized scenario where the SOC is perfectly known is quantified, and it is shown that it decreases with increasing storage capacity and decreasing uncertainty in the EH source. It is shown that the performance degradation is within 5% for most cases of practical interest, and that near-optimal performance is achieved by only a loose knowledge of the SOC, which distinguishes between high and low SOC levels. Moreover, the impact of time correlation in the EH source is investigated, and it is shown that knowledge of the EH state is more critical than accurate SOC knowledge, so that a precise knowledge of the former can obviate the need for accurate information about the latter. Index Terms Wireless sensor networks; battery management; green design; renewable energy sources. N. Michelusi is with the
Evaluation of the impact of furniture on communications performance for ubiquitous deployment of wireless sensor networks in smart homes
- Sensors 2012
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Article A Particle Filter for Smartphone-Based Indoor Pedestrian Navigation
, 2014
"... micromachines ..."
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UvA-DARE (Digital Academic Repository) T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data
, 2010
"... Abstract: The trend to use large amounts of simple sensors as opposed to a few complex sensors to monitor places and systems creates a need for temporal pattern mining algorithms to work on such data. The methods that try to discover re-usable and interpretable patterns in temporal event data have ..."
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Abstract: The trend to use large amounts of simple sensors as opposed to a few complex sensors to monitor places and systems creates a need for temporal pattern mining algorithms to work on such data. The methods that try to discover re-usable and interpretable patterns in temporal event data have several shortcomings. We contrast several recent approaches to the problem, and extend the T-Pattern algorithm, which was previously applied for detection of sequential patterns in behavioural sciences. The temporal complexity of the T-pattern approach is prohibitive in the scenarios we consider. We remedy this with a statistical model to obtain a fast and robust algorithm to find patterns in temporal data. We test our algorithm on a recent database collected with passive infrared sensors with millions of events.
Article On Mobility Management in Multi-Sink Sensor Networks for Geocasting of Queries
, 2011
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Architecture and Protocols for the Internet of Things: A Case Study
"... Abstract—In this paper, we describe a practical realization of an Internet-of-Things (IoT) architecture at the University of Padova, Italy. Our network spans the floors of different buildings within the Department of Information Engineering, and is designed to provide access to basic services such a ..."
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Abstract—In this paper, we describe a practical realization of an Internet-of-Things (IoT) architecture at the University of Padova, Italy. Our network spans the floors of different buildings within the Department of Information Engineering, and is designed to provide access to basic services such as environmental monitoring and localization to University users, as well as to manage service access based on user roles and au-thorizations. The network is based on a flexible and expandable infrastructure allowing easy node management. A support for the 6LoWPAN standard makes nodes reachable from outside the network using IPv6 and provides an infrastructure to realize IoT applications. I.
Article Air Temperature Error Correction Based on Solar Radiation in an Economical Meteorological Wireless Sensor Network
, 2015
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Mobile Distributed Processing of Physiological Data
"... This is the author’s final version of the work, as accepted for publication following peer review. ..."
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This is the author’s final version of the work, as accepted for publication following peer review.
The Deployment of a Smart Monitoring System using Wireless Sensors and Actuators Networks
"... Abstract—In this paper, we explore the implementation of a smart monitoring system over a wireless sensor network, with particular emphasis on the creation of a solid routing infrastructure through the Routing Protocol for Low-power and lossy networks (RPL), whose definition is currently being discu ..."
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Abstract—In this paper, we explore the implementation of a smart monitoring system over a wireless sensor network, with particular emphasis on the creation of a solid routing infrastructure through the Routing Protocol for Low-power and lossy networks (RPL), whose definition is currently being discussed within the IETF ROLL working group. Our framework is based on a very lightweight implementation of the REpresentational State Transfer (REST) paradigm by means of a binary web service, and on a publish/subscribe mechanism, whereby every node makes a set of resources (e.g., environmental sensors) available to interested parties. Limited to the effectiveness in creating the routing structure, we provide a performance evaluation of RPL through an experimental campaign, aimed at showing how RPLs key parameters affect the performance of routing in a smart grid scenario.
