ACM Trans. Sens. Networks最新文献_第7页

Localization with sparse acoustic sensor network using UAVs as information-seeking data mules 利用无人机作为信息搜索数据骡子的稀疏声传感器网络定位

ACM Trans. Sens. Networks Pub Date : 2013-05-01 DOI: 10.1145/2480730.2480733

Daniel J. Klein, S. Venkateswaran, Jason T. Isaacs, Jerry Burman, T. Pham, J. Hespanha, Upamanyu Madhow

{"title":"Localization with sparse acoustic sensor network using UAVs as information-seeking data mules","authors":"Daniel J. Klein, S. Venkateswaran, Jason T. Isaacs, Jerry Burman, T. Pham, J. Hespanha, Upamanyu Madhow","doi":"10.1145/2480730.2480733","DOIUrl":"https://doi.org/10.1145/2480730.2480733","url":null,"abstract":"We propose and demonstrate a novel architecture for on-the-fly inference while collecting data from sparse sensor networks. In particular, we consider source localization using acoustic sensors dispersed over a large area, with the individual sensors located too far apart for direct connectivity. An Unmanned Aerial Vehicle (UAV) is employed for collecting sensor data, with the UAV route adaptively adjusted based on data from sensors already visited, in order to minimize the time to localize events of interest. The UAV therefore acts as a information-seeking data mule, not only providing connectivity, but also making Bayesian inferences from the data gathered in order to guide its future actions. The system we demonstrate has a modular architecture, comprising efficient algorithms for acoustic signal processing, routing the UAV to the sensors, and source localization. We report on extensive field tests which not only demonstrate the effectiveness of our general approach, but also yield specific practical insights into GPS time synchronization and localization accuracy, acoustic signal and channel characteristics, and the effects of environmental phenomena.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115817982","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: 24

Minimum transmission power configuration in real-time sensor networks with overlapping channels 信道重叠实时传感器网络的最小传输功率配置

ACM Trans. Sens. Networks Pub Date : 2013-03-01 DOI: 10.1145/2422966.2422967

Xiaodong Wang, Xiaorui Wang, G. Xing, Yanjun Yao

{"title":"Minimum transmission power configuration in real-time sensor networks with overlapping channels","authors":"Xiaodong Wang, Xiaorui Wang, G. Xing, Yanjun Yao","doi":"10.1145/2422966.2422967","DOIUrl":"https://doi.org/10.1145/2422966.2422967","url":null,"abstract":"Multi-channel communications can effectively reduce channel competition and interference in a wireless sensor network and thus achieve increased throughput and improved end-to-end delay guarantees with reduced power consumption. However, existing work relies only on a small number of orthogonal channels, resulting in degraded performance when a large number of data flows need to be transmitted on different channels. In this article, we conduct empirical studies to investigate interferences among overlapping channels. Our results show that overlapping channels can also be utilized for improved real-time performance if the node transmission power is carefully configured. In order to minimize the overall transmission power consumption of a network with multiple data flows under end-to-end delay constraints, we formulate a constrained optimization problem to configure the transmission power level of every node and assign overlapping channels to different data flows. Since the optimization problem has an exponential computational complexity, we then present a heuristic algorithm designed based on simulated annealing to find a suboptimal solution. Our extensive empirical results on a 33-mote testbed demonstrate that our algorithm achieves better real-time performance and less power consumption than two baselines, including a scheme using only orthogonal channels.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126610606","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: 3

Object tracking in the presence of occlusions using multiple cameras: A sensor network approach 使用多摄像机进行遮挡下的目标跟踪:一种传感器网络方法

ACM Trans. Sens. Networks Pub Date : 2013-03-01 DOI: 10.1145/2422966.2422973

A. Ercan, A. Gamal, L. Guibas

{"title":"Object tracking in the presence of occlusions using multiple cameras: A sensor network approach","authors":"A. Ercan, A. Gamal, L. Guibas","doi":"10.1145/2422966.2422973","DOIUrl":"https://doi.org/10.1145/2422966.2422973","url":null,"abstract":"This article describes a sensor network approach to tracking a single object in the presence of static and moving occluders using a network of cameras. To conserve communication bandwidth and energy, we combine a task-driven approach with camera subset selection. In the task-driven approach, each camera first performs simple local processing to detect the horizontal position of the object in the image. This information is then sent to a cluster head to track the object. We assume the locations of the static occluders to be known, but only prior statistics on the positions of the moving occluders are available. A noisy perspective camera measurement model is introduced, where occlusions are captured through occlusion indicator functions. An auxiliary particle filter that incorporates the occluder information is used to track the object. The camera subset selection algorithm uses the minimum mean square error of the best linear estimate of the object position as a metric, and tracking is performed using only the selected subset of cameras.\u0000 Using simulations and preselected subsets of cameras, we investigate (i) the dependency of the tracker performance on the accuracy of the moving occluder priors, (ii) the trade-off between the number of cameras and the occluder prior accuracy required to achieve a prescribed tracker performance, and (iii) the importance of having occluder priors to the tracker performance as the number of occluders increases. We find that computing moving occluder priors may not be worthwhile, unless it can be obtained cheaply and to high accuracy. We also investigate the effect of dynamically selecting the subset of camera nodes used in tracking on the tracking performance. We show through simulations that a greedy selection algorithm performs close to the brute-force method and outperforms other heuristics, and the performance achieved by greedily selecting a small fraction of the cameras is close to that of using all the cameras.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114856409","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: 31

Behavior-oriented data resource management in medical sensing systems 医学传感系统中行为导向的数据资源管理

ACM Trans. Sens. Networks Pub Date : 2013-03-01 DOI: 10.1145/2422966.2422969

H. Noshadi, F. Dabiri, Saro Meguerdichian, M. Potkonjak, M. Sarrafzadeh

{"title":"Behavior-oriented data resource management in medical sensing systems","authors":"H. Noshadi, F. Dabiri, Saro Meguerdichian, M. Potkonjak, M. Sarrafzadeh","doi":"10.1145/2422966.2422969","DOIUrl":"https://doi.org/10.1145/2422966.2422969","url":null,"abstract":"Wearable sensing systems have recently enabled a variety of medical monitoring and diagnostic applications in wireless health. The need for multiple sensors and constant monitoring leads these systems to be power hungry and expensive with short operating lifetimes. We introduce a novel methodology that takes advantage of contextual and semantic properties in human behavior to enable efficient design and optimization of such systems from the data and information point of view. This, in turn, directly influences the wireless communication and local processing power consumption. We exploit intrinsic space and temporal correlations between sensor data while considering both user and system contextual behavior. Our goal is to select a small subset of sensors that accurately capture and/or predict all possible signals of a fully instrumented wearable sensing system. Our approach leverages novel modeling, partitioning, and behavioral optimization, which consists of signal characterization, segmentation and time shifting, mutual signal prediction, and a simultaneous minimization composed of subset sensor selection and opportunistic sampling. We demonstrate the effectiveness of the technique on an insole instrumented with 99 pressure sensors placed in each shoe, which cover the bottom of the entire foot, resulting in energy reduction of 72% to 97% for error rates of 5% to 17.5%.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125764396","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: 7

Optimizing sensor network reprogramming via in situ reconfigurable components 通过原位可重构组件优化传感器网络重编程

ACM Trans. Sens. Networks Pub Date : 2013-03-01 DOI: 10.1145/2422966.2422971

Amirhosein Taherkordi, Frédéric Loiret, Romain Rouvoy, F. Eliassen

{"title":"Optimizing sensor network reprogramming via in situ reconfigurable components","authors":"Amirhosein Taherkordi, Frédéric Loiret, Romain Rouvoy, F. Eliassen","doi":"10.1145/2422966.2422971","DOIUrl":"https://doi.org/10.1145/2422966.2422971","url":null,"abstract":"Wireless reprogramming of sensor nodes is a critical requirement in long-lived wireless sensor networks (WSNs) addressing several concerns, such as fixing bugs, upgrading the operating system and applications, and adapting applications behavior according to the physical environment. In such resource-poor platforms, the ability to efficiently delimit and reconfigure the necessary portion of sensor software—instead of updating the full binary image—is of vital importance. However, most existing approaches in this field have not been adopted widely to date due to the extensive use of WSN resources or lack of generality. In this article, we therefore consider WSN programming models and runtime reconfiguration models as two interrelated factors and we present an integrated approach for addressing efficient reprogramming in WSNs. The middleware solution we propose, <scp<RemoWare</scp<, is characterized by mitigating the cost of post-deployment software updates on sensor nodes via the notion of in situ reconfigurability and providing a component-based programming abstraction in order to facilitate the development of dynamic WSN applications. Our evaluation results show that <scp<RemoWare</scp< imposes a very low energy overhead in code distribution and component reconfiguration and consumes approximately 6% of the total code memory on a <scp<TelosB</scp< sensor platform.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128792207","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: 52

On mobile sensor assisted field coverage 移动传感器辅助现场覆盖

ACM Trans. Sens. Networks Pub Date : 2013-03-01 DOI: 10.1145/2422966.2422979

Dan Wang, Jiangchuan Liu, Qian Zhang

{"title":"On mobile sensor assisted field coverage","authors":"Dan Wang, Jiangchuan Liu, Qian Zhang","doi":"10.1145/2422966.2422979","DOIUrl":"https://doi.org/10.1145/2422966.2422979","url":null,"abstract":"Providing field coverage is a key task in many sensor network applications. With unevenly distributed static sensors, quality coverage with acceptable network lifetime is often difficult to achieve. Fortunately, recent advances on embedded and robotic systems make mobile sensors possible, and we suggest that a small set of mobile sensors can be leveraged toward a cost-effective solution for field coverage. There are, however, a series of fundamental questions to be answered in such a hybrid network of static and mobile sensors: (1) Given the expected coverage quality and system lifetime, how many mobile sensors should be deployed? (2) What are the necessary coverage contributions from each type of sensors? (3) What working and moving patterns should the sensors adopt to achieve the desired coverage contributions?\u0000 In this article, we offer an analytical study on these problems, and the results lead to a practical system design. Specifically, we present an optimal algorithm for calculating the contributions from different types of sensors, which fully exploits the potentials of the mobile sensors and maximizes the network lifetime. We then present a random walk model for the mobile sensors. The model is distributed with very low control overhead. Its parameters can be fine-tuned to match the moving capability of different mobile sensors and the demands from a broad spectrum of applications. A node collaboration scheme is then introduced to further enhance the system performance.\u0000 We demonstrate through analysis and simulation that, in our mobile assisted design, a small set of mobile sensors can effectively address the uneven distribution of the static sensors and significantly improve the coverage quality.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134276535","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: 9

A low-bandwidth camera sensor platform with applications in smart camera networks 应用于智能摄像机网络的低带宽摄像机传感器平台

ACM Trans. Sens. Networks Pub Date : 2013-03-01 DOI: 10.1145/2422966.2422978

Phoebus Chen, Kirak Hong, N. Naikal, S. Shankar Sastry, Doug Tygar, Posu Yan, A. Yang, Lung-Chung Chang, Leon Lin, Simon Wang, E. Lobaton, Songhwai Oh, P. Ahammad

{"title":"A low-bandwidth camera sensor platform with applications in smart camera networks","authors":"Phoebus Chen, Kirak Hong, N. Naikal, S. Shankar Sastry, Doug Tygar, Posu Yan, A. Yang, Lung-Chung Chang, Leon Lin, Simon Wang, E. Lobaton, Songhwai Oh, P. Ahammad","doi":"10.1145/2422966.2422978","DOIUrl":"https://doi.org/10.1145/2422966.2422978","url":null,"abstract":"Smart camera networks have recently emerged as a new class of sensor network infrastructure that is capable of supporting high-power in-network signal processing and enabling a wide range of applications. In this article, we provide an exposition of our efforts to build a low-bandwidth wireless camera network platform, called CITRIC, and its applications in smart camera networks. The platform integrates a camera, a microphone, a frequency-scalable (up to 624 MHz) CPU, 16 MB FLASH, and 64 MB RAM onto a single device. The device then connects with a standard sensor network mote to form a wireless camera mote. With reasonably low power consumption and extensive algorithmic libraries running on a decent operating system that is easy to program, CITRIC is ideal for research and applications in distributed image and video processing. Its capabilities of in-network image processing also reduce communication requirements, which has been high in other existing camera networks with centralized processing. Furthermore, the mote easily integrates with other low-bandwidth sensor networks via the IEEE 802.15.4 protocol. To justify the utility of CITRIC, we present several representative applications. In particular, concrete research results will be demonstrated in two areas, namely, distributed coverage hole identification and distributed object recognition.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122757500","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

Mapping hidden water pipelines using a mobile sensor droplet 使用移动传感器液滴绘制隐藏的水管

ACM Trans. Sens. Networks Pub Date : 2013-03-01 DOI: 10.1145/2422966.2422977

Tsung-Te Lai, Wei-Ju Chen, Tiffany Yu-Han Chen, Polly Huang, Hao-Hua Chu

引用次数: 7

Packet-level attestation (PLA): A framework for in-network sensor data reliability 包级认证(PLA):网络内传感器数据可靠性的框架

ACM Trans. Sens. Networks Pub Date : 2013-03-01 DOI: 10.1145/2422966.2422976

A. Kamal, C. Bleakley, S. Dobson

{"title":"Packet-level attestation (PLA): A framework for in-network sensor data reliability","authors":"A. Kamal, C. Bleakley, S. Dobson","doi":"10.1145/2422966.2422976","DOIUrl":"https://doi.org/10.1145/2422966.2422976","url":null,"abstract":"Wireless sensor networks (WSN) show enormous potential for collection and analysis of physical data in real-time. Many papers have proposed methods for improving the network reliability of WSNs. However, real WSN deployments show that sensor data-faults are very common. Several server-side data reliability techniques have been proposed to detect these faults and impute missing or erroneous data. Typically, these techniques reduce the lifetime of the network due to redundant data transmission, increase latency, and are computation and storage intensive. Herein, we propose Packet-Level Attestation (PLA), a novel framework for sensor data reliability assessment. It exploits the spatial correlation of data sensed at nearby sensors. The method does not incur additional transmission of control message between source and sink; instead, a verifier node sends a validation certificate as part of the regular data packet. PLA was implemented in TinyOS on TelosB motes and its performances was assessed. Simulations were performed to determine its scalability. It incurs only an overhead of 1.45% in terms of packets transmitted. Fault detection precision of the framework varied from 100% to 99.48%. Comparisons with existing methods for data reliability analysis showed a significant reduction in data transmission, prolonging the network lifetime.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114999976","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: 24

Surface-level path loss modeling for sensor networks in flat and irregular terrain 平坦和不规则地形下传感器网络的地表路径损失建模

ACM Trans. Sens. Networks Pub Date : 2013-03-01 DOI: 10.1145/2422966.2422972

Pohkit Chong, Daeyoung Kim

{"title":"Surface-level path loss modeling for sensor networks in flat and irregular terrain","authors":"Pohkit Chong, Daeyoung Kim","doi":"10.1145/2422966.2422972","DOIUrl":"https://doi.org/10.1145/2422966.2422972","url":null,"abstract":"Many wireless sensor network applications require sensor nodes to be deployed on the ground or other surfaces. However, there has been little effort to characterize the large- and small-scale path loss for surface-level radio communications. We present a comprehensive measurement of path loss and fading characteriztics for surface-level sensor nodes in the 400 MHz band in both flat and irregular outdoor terrain in an effort to improve the understanding of surface-level sensor network communications performance and to increase the accuracy of sensor network modeling and simulation. Based on our measurement results, we characterize the spatial small-scale area fading effects as a Rician distribution with a distance-dependent K-factor. We also propose a new semi-empirical path loss model for outdoor surface-level wireless sensor networks called the Surface-Level Irregular Terrain (SLIT) model. We verify our model by comparing measurement results with predicted values obtained from high-resolution digital elevation model (DEM) data and computer simulation for the 400 MHz and 2.4 GHz band. Finally, we discuss the impact of the SLIT model and demonstrate through simulation the effects when SLIT is used as the path loss model for existing sensor network protocols.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130003096","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: 35