Application of the Updated Movement Disorder Society Criteria for Prodromal Parkinson's Disease to a Population‐Based 10‐Year Study

Funder: “Assessorat fuer Gesundheit”, Province of Bolzano, ItalyFunder: “Pustertaler Verein zur Prävention von Herz‐ und Hirngefaesserkrankungen”, Province of Bolzano, ItalyFunder: Austrian Society of NeurologyFunder: Dr.‐Johannes‐and‐Hertha‐Tuba FoundationFunder: Gesundheitsbezirk Bruneck, Province of Bolzano, Ital

Position-based Routing Protocol for Low Power Wireless Sensor Networks

We present a table-less position based routing scheme for low power data centric wireless sensor networks. Our proposed scheme is localized, uses greedy forwarding approach, and does not rely on neighborhood information. These characteristics reduce the communication overhead (no neighborhood information exchange), make the protocol highly scalable (no routing tables are maintained and beacons are not exchanged when a node leaves or enters a network), and performs better in mobile environments (as the next hop is non-deterministic and is computed at run time). It also deals with dead end problem by a recovery strategy in a distributed and localized way. The proposed protocol is implemented in the OMNET++ based discrete event simulation environment PAWiS. The results show that the proposed protocol provides guaranteed delivery, extended network lifetime, and a mechanism to route on the basis of end-to-end delay and/or energy consumption

PAWIS: Towards a Power Aware System Architecture for a SoC/SiP Wireless Sensor and Actor Node Implementation

Abstract: The goal of the PAWiS project is to develop both, efficient system architectures and the related design methodology for power aware wireless sensor and actor network nodes that allow for capturing inefficiencies in every aspect of the system. These aspects include all layers of the communication system, the targeted class of the application itself, the power supply and energy management, the digital processing unit and the sensor-actor interface. The proof of concept will be based on a prototype system that allows a future integration in a single SiP/SoC. The project is supported by Infineon Austria and started only recently, therefore the main focus of this paper is on the design approach. Copyright © 2002 IFA

Embedded Systems for Smart Appliances and Energy Management

This book provides a comprehensive introduction to embedded systems for smart appliances and energy management, bringing together for the first time a multidisciplinary blend of topics from embedded systems, information technology and power engineering.  Coverage includes challenges for future resource distribution grids, energy management in smart appliances, micro energy generation, demand response management, ultra-low power stand by, smart standby and communication networks in home and building automation.   Provides a comprehensive, multidisciplinary introduction to embedded systems for smart appliances and energy management; Equips researchers and engineers with information required to succeed in designing energy management for smart appliances; Includes coverage of resource distribution grids, energy management in smart appliances, micro energy generation, demand response management, ultra-low power stand by, smart standby and communication networks in home and building automation.

Embedded systems for smart appliances and energy management / Christoph Grimm, Peter Neumann, Stefan Mahlknecht, editors.

Includes bibliographical referencesxiii, 148 pages

Embedded Systems for Smart Appliances and Energy Management

XIV, 150 p.online resource

CLAMP: Cross LAyer Management Plane for low power wireless sensor networks

Traditional layered architectures used for wireless networks pose drawbacks in terms of performance and efficiency. The constrained resources of wireless sensor nodes such as memory, computational power, and energy motivate to modify traditional layered architectures. In this paper we present a cross layer management plane for low power wireless sensor networks which enables sensor nodes to exploit cross layer information for efficient resource utilization. A set of well known parameters to be used to benefit from the synergy across layers is presented. The feasibility of the proposed scheme and the advantages drawn from using cross layer information is shown by simulation