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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30763 条记录，以下是291-300 订阅

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A Distance-Measurement-Oriented distributed TDMA Scheduling Algorithm for sensor Networks

A Distance-Measurement-Oriented Distributed TDMA Scheduling ...

引用

7th ieee international conference on distributed computing in sensor systems (DCOSS)

作者： Sato, Koji Sakata, Shiro Chiba Univ Grad Sch Adv Integrat Sci Inage Ku Chiba 2638522 Japan

ISBN: (纸本)9781457705137

In considering home network environment, there is a possibility which provides limited/specific services by configuring the network in accordance with the particular context when linked to a variety of devices. In this paper, a distributed TDMA slot scheduling with prioritized control based on Lamport's bakery algorithm is proposed. The scheduling aims at the realization of media access control methods which can constitute a localized network by measuring the distance to respective node. The proposed scheme can be shown as a possible replacement of DRAND algorithm for Z-MAC scheme with a distance-measurement-oriented manner. The scheme can contribute to the efficient TDMA slot allocation.

关键词： component home networks wireless sensor networks media access control distance measurement

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A Configurable distributed Data Analytics Infrastructure for the Industrial Internet of Things 15

A Configurable Distributed Data Analytics Infrastructure for...

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Kefalakis, Nikos Roukounaki, Aikaterini Soldatos, John Athens Informat Technol IoT Grp Maroussi Greece

ISBN: (纸本)9781728105703

Executing analytics functionalities over data from highly distributed data sources and data streams is at the very core of the vast majority of Industrial Internet of Things (IIoT) applications. State of the art streaming engines provide the means for high performance analytics over high velocity IIoT streams, yet they still need significant programming and customization efforts when deployed in heterogeneous industrial environments. This paper introduces a configurable engine for distributed data analytics for IIoT applications. The engine leverages the performance of state of the art data streaming middleware platforms, which it augments with a set of digital models for configuring DDA operations. As such the introduced engine reduces the effort needed to implement and deploy distributed data analytics in IIoT environments. The engine is available as open source software and has been validated in a various real-life IIoT applications in different environments.

关键词： distributed Data Analytics BigData Industrial Internet of Things Industry4.0

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Modelling and Performance Analysis of Wireless sensor Networks Using Process Mining Techniques: ContikiMAC use case

Modelling and Performance Analysis of Wireless Sensor Networ...

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9th ieee international conference on distributed computing in sensor systems (DCOSS)

作者： Despaux, Francois Song, Ye-Qiong Lahmadi, Abdelkader Univ Lorraine LORIA F-54500 Vandoeuvre Les Nancy France

ISBN: (纸本)9781479946181

In the current protocol stack for Internet of Things in general and wireless sensor network in particular, many devices rely on the ContikiMAC protocol at their MAC layer. This protocol is widely used and enabled by default for several industrial environments and time sensitive monitoring and control applications. However, few work exists regarding the performance of this protocol because it lacks of an underlying theoretical model for analysing its performance. In this paper, we propose a novel approach relying on process mining technique that aims to obtain a Markov chain model for networks running the ContikiMAC protocol. In particular, we present a comprehensive specification of the protocol and a Markov chain model obtained through the analysis and instrumentation of its reference implementation. We used the obtained Markov chain to analyze and estimate the end to end delay distribution for a multi-hops transmission with static routing. The approach can also be extended to a wide range of protocols.

关键词： MAC Protocols Markov chain Process Mining Network performance

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Symmetric Coherent Link Degree, Adaptive Throughput-Transmission Power for Wireless sensor Networks

Symmetric Coherent Link Degree, Adaptive Throughput-Transmis...

引用

9th ieee international conference on distributed computing in sensor systems (DCOSS)

作者： Chantzis, Konstantinos Amaxilatis, Dimitrios Chatzigiannakis, Ioannis Rolim, Jose Ctr Univ Informat Geneva Switzerland Comp Technol Inst & Press CTI Patras Greece Univ Patras GR-26110 Patras Greece

ISBN: (纸本)9781479946181

Topology Control Protocols configure transmission power of nodes in order to achieve specific properties to a given topology. These properties include the creation and maintenance of neighborhoods or other topological entities (like trees or clusters), load balancing in terms of connectivity degrees and provision of link symmetry. We see topology control as a two-fold problem where topological properties can also be affected by local network throughput. We propose SCLD-A2TP, a protocol that operates in a two phase adaptive scheme. First transmission power is adaptively adjusted with low throughput settings and nodes achieve a sufficient degree of symmetric and coherent links. Secondly throughput is maximized insofar as the degree is maintained. We assess various distributed heuristics for SCLD-A2TP via testbed experiments and show that up to an extend, link quality and symmetry as well as degree conformity of links can be regulated successfully by transmission power and adaptive throughput control.

关键词： Adaptive Experimental Evaluation Link Symmetry Reliability Throughput Topology Control Transmission Power power transmission topology control Throughput Self tuning Wireless sensor networks CENTROSYMMETRIC Ganglia

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infer:: A Bayesian inference approach towards energy efficient data collection in dense sensor networks

<i>infer</i>:: A Bayesian inference approach towards energy ...

引用

25th ieee international conference on distributed computing systems

作者： Hartl, G Li, BC Univ Toronto Dept Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)0769523315

In this paper, we propose a novel approach for efficiently sensing a remote field using wireless sensor networks. Our approach, the infer algorithm, is fully distributed, has low overhead and saves considerable energy compared to using just the data aggregation communication paradigm. This is accomplished by using a distributed algorithm to put nodes into sleep mode for a given period of time, thereby trading off energy usage for the accuracy of the data received at the sink. Bayesian inference is used to infer the missing data from the nodes that were not active during each sensing epoch. As opposed to other methods that have been considered, such as wavelet compression and distributed source coding, our algorithm has lower overhead in terms of both inter-node communication and computational complexity. Our simulations show that on average our algorithm produces energy savings of 59% while still maintaining data that is accurate to within 7.9%. We also show how the parameters of the algorithm may be tuned to optimize network lifetime for a desired level of data accuracy.

关键词： sensors

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Connected Coverage in Three-Dimensional Wireless sensor Networks Using Convex Polyhedral Space-Fillers 13

Connected Coverage in Three-Dimensional Wireless Sensor Netw...

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13th ieee international conference on distributed computing in sensor systems (DCOSS)

作者： Ammari, Habib M. Fordham Univ Grad Sch Arts & Sci Dept Comp & Informat Sci Fordham Wireless Sensor & Mobile Ad Hoc Networks Bronx NY 10458 USA

ISBN: (纸本)9781538639917

The coverage problem of a three-dimensional (3D) space has similarity with the 3D tiling problem, which can be stated as follows: How can a 3D space be tiled by replicas of tiles? This is an instance of the second part of Hilbert's 18th problem [14]: "What convex polyhedra exist for which a complete filling of all space is possible by juxtaposition of congruent copies?" In this paper, we propose a polyhedral framework to investigate the connected coverage problem in 3D wireless sensor networks. First, we restrict the sensors' sensing sphere to a variety of convex polyhedral space-fillers. Our study aims to find the largest enclosed convex polyhedral space-filler in the sensors' sensing sphere, with a goal to maximize their utilized sensing volume. Second, based on this analysis, we select a minimum number of sensors to cover a 3D space for deterministic and random sensor deployment. Third, we compute the ratio of the communication range to the sensing range of the sensors to ensure network connectivity. Fourth, we corroborate our analysis with various simulation results.

关键词： Wireless sensor networks three-dimensional space fillers polyhedra coverage connectivity quality of coverage

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An Efficient Sensing Approach Using Dynamic Multi-sensor Collaboration for Activity Recognition

An Efficient Sensing Approach Using Dynamic Multi-Sensor Col...

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7th ieee international conference on distributed computing in sensor systems (DCOSS)

作者： Gao, Lei Bourke, Alan K. Nelson, John Univ Limerick Dept Elect & Comp Engn Limerick Ireland

ISBN: (纸本)9781457705137

This paper presents an efficient sensing approach for activity recognition using multi-sensor fusion. The main achievement of the approach is to accurately recognize the human activity with the minimum body sensor usage through the use of dynamic sensor collaboration. The Naive Bayes Classifier is adopted as the classification engine due to not only its easy implementation but also the advantages for multi-sensor fusion. The sensor selection is based on the real-time assignment information value of each sensor node. The platform is composed of a base station and a number of sensor nodes. The base station is used to assign the real-time information value for each sensor node, and fuse the chosen sensor data.

关键词： body sensor networks multi-sensor fusion dynamic sensor collaboration activity recognition

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Rethinking the Design of LR-WPAN IoT systems with Software-Defined Networking 12

Rethinking the Design of LR-WPAN IoT Systems with Software-D...

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12th ieee Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Hakiri, Akram Gokhale, Aniruddha Univ Carthage SYSCOM ENIT FST Bizerte ISSAT Mateur Tunisia CNRS LAAS 7 Ave colonel Roche F-31400 Toulouse France Vanderbilt Univ Dept EECS TISIS Nashville TN USA

ISBN: (纸本)9781509014590

Wireless sensor Networks (WSNs) are becoming a key enabling technology for Internet of Things (IoT) by virtue of providing a highly unstructured cloud of wireless devices. Despite these advances, the current Internet architecture is not able to cater to the high volume of new traffic patterns delivered by these smart sensing devices. In this context, Software Defined Networking (SDN) has emerged as an intelligent solution to deliver dramatic improvements in network programmability, agility and flexibility. However, SDN was originally targeted to wired networks deployed in cloud data centers, and does not lend itself well to WSNs due primarily to its higher footprint and lack of WSN programmable interfaces. To address these challenges, this paper describes an approach to realize software-defined wireless sensor networks by introducing a novel SDN-enabled architecture for WSNs that can be used for diverse IoT systems. Specifically, we propose new control plane services for supporting automatic topology discovery, sensor virtualization as well as managing network policies. Additionally, we introduce new customized SDN-enabled flow tables to meet the requirements of sensor network packets. Finally, we introduce a programmable MAC layer to support fine-grained flow processing.

关键词： SDN OpenFlow IoT Wireless sensor Networks TDMA

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LR-Seluge: Loss-Resilient and Secure Code Dissemination in Wireless sensor Networks

LR-Seluge: Loss-Resilient and Secure Code Dissemination in W...

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31st international conference on distributed computing systems (ICDCS)

作者： Zhang, Rui Zhang, Yanchao Arizona State Univ Sch Elect Comp & Energy Engn Tempe AZ 85287 USA

ISBN: (纸本)9780769543642

Code dissemination in wireless sensor networks refers to the process of disseminating a new code image via wireless links to all sensor nodes after they are deployed. It is desirable and often necessary due to the need for, e. g., removing program bugs and adding new functionalities in a multi-task sensor network. A sound code dissemination scheme need be both loss-resilient and attack-resilient, which are crucial for sensor networks deployed in lossy and hostile environments. To the best of our knowledge, no existing scheme simultaneously satisfies both requirements. This paper fills this gap with the design and evaluation of LR-Seluge, a novel loss-resilient and secure code dissemination scheme. The efficacy and efficiency of LR-Seluge are confirmed by both theoretical analysis and extensive simulation results. In particular, LR-Seluge can reduce up to 40% communication overhead in lossy environments with the same level of attack resilience in contrast to existing schemes.

关键词： Secure loss-resilient code dissemination sensor networks

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Hole Approximation-Dissemination Scheme for Bounded-Stretch Routing in sensor Networks

Hole Approximation-Dissemination Scheme for Bounded-Stretch ...

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9th ieee international conference on distributed computing in sensor systems (DCOSS)

作者： Nguyen, Phi-Le Nguyen, Khanh-Van Ha Noi Univ Sci & Technol Hanoi Vietnam

ISBN: (纸本)9781479946181

The routing stretch in a sensor network with a large hole can be controlled if the network nodes have certain information about the hole location and shape, possibly by using some mechanism for hole boundary approximation and information dissemination. Here, the nodes on the hole boundary cooperate to approximately compute the hole shape, and then a compact description info can be created and disseminated to the surrounding area. However, a finer approximation (for smaller stretch) leads to a higher cost of dissemination, which could unlikely be affordable for the sensors. We provide an insightful analysis to this fundamental trade-off of the hole approximation problem, using a geometric model. Based on this we discuss an efficient approximation-dissemination scheme using a natural, heuristic approximation technique. For reasonable conditions (network is dense enough apart from the hole), we assure that the routing stretch is under a predefined threshold. alpha > 1 while the dissemination cost is also under tight control. Our initial experiment results also confirm that our approach is significantly more efficient and economical, compared to existing proposals.

关键词： Energy Saving Routing hole Routing protocol Routing stretch sensor network sensor networks Routing protocols Holes Network routing energy saving Energy conservation Stretch approximation Dissemination Information Dissemination network node

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