the paper addresses the problem of distributed agreement for control of building thermal energy through a class of consensus algorithms. the context of the work is defined by the emergence of dense networked measureme...
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ISBN:
(纸本)9781509017386
the paper addresses the problem of distributed agreement for control of building thermal energy through a class of consensus algorithms. the context of the work is defined by the emergence of dense networked measurement and control systems and the cyberphysical paradigm in real world building energy management applications. this has occurred more saliently by means of wireless sensor network systems, offering integration of sensing, computing and actuation capabilities. Key point is mitigation of current model- and occupancy based strategies in order to increase building energy efficiency under a unifying framework. We consider both convergence and convergence speed conditions and relate our approach to the state-of-the-art. Simulation results are presented on a reference multiple thermal zone model.
Wireless sensor network constitute a class of real time embedded systems having limited resources. Target coverage problem is concerned withthe continuous monitoring of a set of targets such that the network lifetime...
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ISBN:
(纸本)9783319280349;9783319280332
Wireless sensor network constitute a class of real time embedded systems having limited resources. Target coverage problem is concerned withthe continuous monitoring of a set of targets such that the network lifetime is maximized withthe consideration of resource constraints. In this paper we propose a node scheduling protocol for target coverage problem on the basis of node contribution, coverage probability and trust values, where the set covers are computed dynamically using time stamping. the time stamping is a factor of threshold of the coverage level. We have evaluated the performance of the proposed protocol by varying the number of nodes and targets. the results show that the proposed scheme improves the network lifetime in terms of energy consumption and the reliability of the data communicated in comparison to the naive approach in which all the nodes are activated at once. the results show that the network lifetime is proportional to the energy savings under a constant environment.
the activation scheduling problem for a scanning sensor network monitoring a spatio-temporal process is considered. the configuration of an activation schedule for network nodes measuring the system state is formulate...
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ISBN:
(纸本)9783319231808;9783319231792
the activation scheduling problem for a scanning sensor network monitoring a spatio-temporal process is considered. the configuration of an activation schedule for network nodes measuring the system state is formulated in a sense of a suitable criterion quantifying an estimation accuracy for system parameters. then, a decomposition of the scheduling problem is provided and a proper distribution of total computational effort and consensus between the network nodes is achieved via information flooding based on a pairwise communication scheme. As a result, a simple exchange algorithm is outlined to solve the design problem in a decentralized fashion. the proposed approach is illustrated on an example of sensor network configuration for monitoring an atmospheric pollution transport process.
the proceedings contain 28 papers. the special focus in this conference is on distributedcomputing and Internet Technology. the topics include: A heuristic approach for user generated record extraction;optimization o...
ISBN:
(纸本)9783319280332
the proceedings contain 28 papers. the special focus in this conference is on distributedcomputing and Internet Technology. the topics include: A heuristic approach for user generated record extraction;optimization of service rate in a discrete-time impatient customer queue using particle swarm optimization;influential degree heuristic for ranked replace algorithm in social networks;an efficient task consolidation algorithm for cloud computingsystems;storage load control through meta-scheduler using predictive analytics;a distributed approach based on maximal far-flung scalar premier selection for camera actuation;an extension to UDDI for the discovery of user driven web services;long wire length of midimew-connected mesh network;k-means and wordnet based feature selection combined with extreme learning machines for text classification;language identification and disambiguation in Indian mixed-script;improved bug localization technique using hybrid information retrieval model;an efficient hybrid technique for optimizing data access in dynamic data grid;energy efficient SNR based clustering in underwater sensor network with data encryption;collaborative access control mechanism for online social networks;an image encryption algorithm based on transposition, shuffling and substitution using randomly generated bitmap image;a type system for counting logs of multi-threaded nested transactional programs;proactive resource provisioning model for cloud federation;a multiclass SVM classification approach for intrusion detection;dynamic data replication across geo-distributed cloud data centres and trust based target coverage protocol for wireless sensor networks using fuzzy logic.
the conduct of multicenter studies in the field of radiation therapy and oncology is one of the key prerequisites for stimulating translational research and accelerating the application of healthcare innovations into ...
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the conduct of multicenter studies in the field of radiation therapy and oncology is one of the key prerequisites for stimulating translational research and accelerating the application of healthcare innovations into day to day patient treatment. To effectively run such studies, the participating research institutions need access to radiotherapy-specific information technology (IT), which enables collection of case report forms (eCRFs) linked with medical imaging and treatment planning data. Existing commercial systemsthat provide multimodal data collection features may fit for industry funded clinical trials but do not consider academia needs for long-lasting and affordable IT infrastructure. this paper presents an alternative way for development of a sustainable clinical research IT platform based on open-source systems. the platform design is driven by an integration of its core components, namely, electronic data capture system (EDC), medical image archive (PACS), and patient identity management system (PIDG). three deployment scenarios are described that allow setting up the platform in a central, virtually hosted or decentralized environment. the first production implementation of this infrastructure was established as Radiation Dose Plan-Image/BiomarkerOutcome-platform (RadPlanBio) in September 2013. It is maintained by the German Cancer Consortium (DKTK), Dresden and the German Cancer Research Center (DKFZ), Heidelberg. Until now, it manages 9 studies across 11 sites with 600 enrolled subjects. this paper shows how the integration of open-source systems can drive the development of sustainable clinical research IT environment supporting translational research projects in the field of radiation therapy and oncology.
Context is the brain of ubiquitous computing. All the intelligence to the ubiquitous system comes from the knowledge of the context. the context is obtained after the processing and reasoning of different sensor data....
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ISBN:
(纸本)9781467373319
Context is the brain of ubiquitous computing. All the intelligence to the ubiquitous system comes from the knowledge of the context. the context is obtained after the processing and reasoning of different sensor data. these sensors are physically distributed in real world. Withthe advancement in sensing, processing and communication technologies, a distributed processing and reasoning has become a reality. In this paper we proposes a scalable and distributed context reasoning architecture that can be used in large scale environment. It also explains the use of the architecture to recognize higher level human activities in a home environment. the uncertainty in activity context is handled using Bayesian Network.
Context is the brain of ubiquitous computing. All the intelligence to the ubiquitous system comes from the knowledge of the context. the context is obtained after the processing and reasoning of different sensor data....
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Context is the brain of ubiquitous computing. All the intelligence to the ubiquitous system comes from the knowledge of the context. the context is obtained after the processing and reasoning of different sensor data. these sensors are physically distributed in real world. Withthe advancement in sensing, processing and communication technologies, a distributed processing and reasoning has become a reality. In this paper we proposes a scalable and distributed context reasoning architecture that can be used in large scale environment. It also explains the use of the architecture to recognize higher level human activities in a home environment. the uncertainty in activity context is handled using Bayesian Network.
Wireless sensor networks are tightly associated withthe underlying environment in which the sensors are deployed. the global topology of the network is of great importance to bothsensor network applications and the ...
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ISBN:
(纸本)1595932860
Wireless sensor networks are tightly associated withthe underlying environment in which the sensors are deployed. the global topology of the network is of great importance to bothsensor network applications and the implementation of networking functionalities. In this paper we study the problem of topology discovery, in particular, identifying boundaries in a sensor network. Suppose a large number of sensor nodes are scattered in a geometric region, with nearby nodes communicating with each other directly. Our goal is to find the boundary nodes by using only connectivity information. We do not assume any knowledge of the node locations or inter-distances, nor do we enforce that the communication graph follows the unit disk graph model. We propose a simple, distributed algorithm that correctly detects nodes on the boundaries and connects them into meaningful boundary cycles. We obtain as a byproduct the medial axis of the sensor field, which has applications in creating virtual coordinates for routing. We show by extensive simulation that the algorithm gives good results even for networks with low density. We also prove rigorously the correctness of the algorithm for continuous geometric domains. Copyright 2006 ACM.
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