2015 International Conference on Distributed Computing in Sensor Systems最新文献_第3页

Sensor Node to Improve Resiliency and Monitoring in Smart Grids: Taking the Lab to Field in Industry 传感器节点提高智能电网的弹性和监测:将实验室带到工业现场

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.41

L. Russell, R. Goubran, F. Kwamena

引用次数: 3

Optimal Power Management with Guaranteed Minimum Energy Utilization for Solar Energy Harvesting Systems 太阳能收集系统保证最小能量利用率的最优电源管理

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1145/3317679

Bernhard Buchli, Pratyush Kumar, L. Thiele

{"title":"Optimal Power Management with Guaranteed Minimum Energy Utilization for Solar Energy Harvesting Systems","authors":"Bernhard Buchli, Pratyush Kumar, L. Thiele","doi":"10.1145/3317679","DOIUrl":"https://doi.org/10.1145/3317679","url":null,"abstract":"In this work we present the first formal study on optimizing the energy utilization of energy harvesting embedded systems while giving bounds on the minimum energy usage. Furthermore, to deal with the uncertainty inherent to solar energy harvesting we propose to use (i) a finite horizon scheme, and (ii) anon-uniformly scaled energy estimation based on an astronomical model. Under certain realistic assumptions, the finite horizon scheme can provide guarantees on minimum energy utilization, and therefore minimum utility. We show that a single non-uniform scaling function is applicable to solar energy traces from diverse locations. We further propose and evaluate a piece-wise linear approximation for efficient implementation as a small look-up table for resource constrained embedded systems. With extensive experimental evaluation for eight publicly available datasets and two datasets collected with our own deployments, we quantitatively establish that the proposed solution is highly effective at providing a guaranteed minimum utilization, and significantly out-performs four previously proposed solutions.","PeriodicalId":332746,"journal":{"name":"2015 International Conference on Distributed Computing in Sensor Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121810169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 32

A Health Smart Home System to Report Incidents for Disabled People 一个健康智能家居系统，为残疾人报告事件

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.28

Diulie J. Freitas, Tiago B. Marcondes, L. H. Nakamura, R. Meneguette

引用次数: 17

Spatio-Temporal Hierarchical Data Aggregation Using Compressive Sensing (ST-HDACS) 基于压缩感知(ST-HDACS)的时空分层数据聚合

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.15

Xi Xu, R. Ansari, A. Khokhar

{"title":"Spatio-Temporal Hierarchical Data Aggregation Using Compressive Sensing (ST-HDACS)","authors":"Xi Xu, R. Ansari, A. Khokhar","doi":"10.1109/DCOSS.2015.15","DOIUrl":"https://doi.org/10.1109/DCOSS.2015.15","url":null,"abstract":"The problem of power-efficient data aggregation in wireless sensor networks (WSNs) using Compressive Sensing (CS) to reduce the amount of data communicated is addressed here. Existing CS-based data aggregation methods can be categorized as either those that apply CS spatially to minimize the amount of data to be communicated in the routing path, or those that seek to minimize the amount of data by applying CS temporally at each sensor. A recently reported scheme that is described as a Spatial-Temporal CS scheme randomly selects a subset of data but does not apply compression in the routing path. Here we formulate a spatial-temporal data collection model in WSNs and refer to it as Spatial-Temporal Hierarchical Data Aggregation using Compressive Sensing (ST-HDACS). The idea underlying ST-HDACS consists of two key components: Firstly, for each time snapshot of data collected in the network, a subset of nodes is randomly selected and designated for data sensing and transmission. A power-efficient Adaptive Hierarchical Data Aggregation (A-HDACS) scheme is incorporated in our work to compress the spatial data to be communicated in the routing path. Secondly, after performing data collection over a designated time period, a Matrix Completion (MC) problem is executed in the fusion center to recover the data for the entire network over the full data collection period. The performance of the proposed method is evaluated and it is demonstrated that ST-HDACS scheme reduces the amount of data for transmission and improves the associated energy consumption more effectively than existing CS-based data aggregation schemes.","PeriodicalId":332746,"journal":{"name":"2015 International Conference on Distributed Computing in Sensor Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127756180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Middleware for Internet of Things: A Study 物联网中间件研究

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.43

Ghofrane Fersi

引用次数: 72

Average Power Consumption Breakdown of Wireless Sensor Network Nodes Using IPv6 over LLNs 使用IPv6 over lln的无线传感器网络节点平均功耗分析

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.37

Javier Schandy, Leonardo Steinfeld, Fernando Silveira

引用次数: 19

Android Application to Management Multiple Networking Interfaces Android应用程序，用于管理多个网络接口

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.29

Victor Tortorello, L. H. Nakamura, D. C. Lobato, R. Meneguette

引用次数: 3

Tokenit: Designing State-Driven Embedded Systems through Tokenized Transitions 标记:通过标记化转换设计状态驱动的嵌入式系统

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.36

Amirhosein Taherkordi, Christian Johansen, F. Eliassen, K. Römer

{"title":"Tokenit: Designing State-Driven Embedded Systems through Tokenized Transitions","authors":"Amirhosein Taherkordi, Christian Johansen, F. Eliassen, K. Römer","doi":"10.1109/DCOSS.2015.36","DOIUrl":"https://doi.org/10.1109/DCOSS.2015.36","url":null,"abstract":"The development of resource-constrained embedded systems that are naturally state-driven is still a challenging issue, especially in industrial applications -- developed on a bare-bone style runtime system with basic programming features. This is because of the complexity of state-driven design in embedded applications, such as parallel and complicated event-based activity flows, and complicated constraints for transitioning between program states. State machines are considered a systematic approach for such needs. However, existing approaches, in this area, either do not satisfactorily address the above complexity aspects, or force the developer to write code intermingling state handling logic with the functional code. To tackle these issues, we propose TOKEN IT, a state machine-based development framework for resource-constrained embedded systems. Using TOKEN IT, the programmer models the application as a set of parallel processes, where each process consists of sequenced activities with state constraints such as delayed transitions or interdependency between the states of parallel processes. TOKEN IT, then, processes the obtained model and associates a token to each sequential flow of activities, synthesizing them and executing state transitions according to the constraints expressed in the TOKEN IT model. The evaluation results show that TOKEN IT reduces significantly the complexity of state-driven programming in embedded systems at an acceptable memory cost and with no extra processing overhead.","PeriodicalId":332746,"journal":{"name":"2015 International Conference on Distributed Computing in Sensor Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117002292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Interconnecting WiFi Devices with IEEE 802.15.4 Devices without Using a Gateway WiFi设备与IEEE 802.15.4设备对接，不使用网关

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.42

Shengrong Yin, Qiang Li, O. Gnawali

{"title":"Interconnecting WiFi Devices with IEEE 802.15.4 Devices without Using a Gateway","authors":"Shengrong Yin, Qiang Li, O. Gnawali","doi":"10.1109/DCOSS.2015.42","DOIUrl":"https://doi.org/10.1109/DCOSS.2015.42","url":null,"abstract":"In many wireless sensing and control application deployments, there is often a gateway device to bridge between the low power IEEE 802.15.4 network and the Internet. The bridge has at least two interfaces. One interface communicates with the 802.15.4 wireless. The other interface either communicates with Wi-Fi or wired network. When a user wants to send a command to the wireless controller, lets say at a smart home, the user may use a smartphone and send command over Wi-Fi to the gateway, often through a cloud service provider. Then gateway shuttles the message from the wired or Wi-Fi chip to the 802.15.4 chip. Then the gateway transmits the messages over the 802.15.4 chip into the 802.15.4 network. In this work, we design a novel modulation technique that runs on the Wi-Fi devices (e.g., Smartphone) and demodulation technique that runs on 802.15.4 devices (e.g., A wireless controller in a smart home) to enable Wi-Fi devices to directly communicate with 802.15.4 devices without any gateway. The key idea is to utilize crosstalk between 802.11 and 802.15.4 channels as the medium for communication. We implemented the proposed technique on multiple platforms and are able to successfully achieve a data rate of 2 bytes per second with less than 10% bit error rate in uncontrolled environments.","PeriodicalId":332746,"journal":{"name":"2015 International Conference on Distributed Computing in Sensor Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123084157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 29

Estimating Low-Power Radio Signal Attenuation in Forests: A LiDAR-Based Approach 估算森林中低功率无线电信号衰减:基于激光雷达的方法

2015 International Conference on Distributed Computing in Sensor Systems Pub Date : 2015-06-10 DOI: 10.1109/DCOSS.2015.17

Silvia Demetri, G. Picco, L. Bruzzone

{"title":"Estimating Low-Power Radio Signal Attenuation in Forests: A LiDAR-Based Approach","authors":"Silvia Demetri, G. Picco, L. Bruzzone","doi":"10.1109/DCOSS.2015.17","DOIUrl":"https://doi.org/10.1109/DCOSS.2015.17","url":null,"abstract":"Wireless sensor networks offer unprecedented opportunities to monitor natural ecosystems. However, despite the growing number of applications (e.g., Forest fire detection, wildlife monitoring), the deployment challenges posed by the real-world natural environment still hinder the widespread adoption of this technology. In particular, the unpredictability of the low-power wireless channel in the presence of vegetation requires costly trial-and-error pilot campaigns to understand where and how to place the wireless nodes. In this paper, we propose a technique based on remote sensing for accurately estimating low-power radio signal attenuation in forest environments. We leverage airborne Light Detection and Ranging (LiDAR) instruments and related automatic data analysis systems to determine local forest attributes (e.g., Tree density) that, once factored into a specialized radio path loss model, enable accurate estimation of the received signal power. Our approach is i) automatic, i.e., It does not require in-field campaigns, and ii) fine-grained, i.e., It enables per-link estimates. Our validation from deployments in a real forest shows that the error of our per-link estimates of the received signal power is around ± 6 dBm - the accuracy of RSSI readings from the radio transceiver.","PeriodicalId":332746,"journal":{"name":"2015 International Conference on Distributed Computing in Sensor Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131073768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10