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Distributed Reference-Free Fault Detection Method for Autonomous Wireless Sensor networks

IEEE SENSORS JOURNAL 2013年第5期13卷 2009-2019页

作者： Lo, Chun Lynch, Jerome P. Liu, Mingyan Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA

Compact and low-cost sensors used in wireless sensor networks are vulnerable to deterioration and failure. As the number and scale of sensor deployments grow, the failure of sensors becomes an increasingly paramount issue. This paper presents a distributed, reference-free fault detection algorithm that is based on local pair-wise verification between sensors monitoring the same physical system. Specifically, a linear relationship is shown to exist between the outputs of a pair of sensors measuring the same system. Using this relationship, faulty sensors may be detected within subsystems of the global system. Moreover, faulty sensors suffering from sparse spikes in their measurements can be identified with spike magnitudes and times accurately estimated. An appealing feature of the proposed method is that the need for reference sensors and complete knowledge of the system input are not required. Due to the pair-wise nature of the proposed algorithm, it can also be performed in a completely decentralized fashion. This ensures the method can be scaled to large sensor networks and lead to significant energy savings derived from reduced wireless communication compared to centralized approaches.

关键词： Fault detection in-network data processing wireless sensor networks (WSNs)

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Energy Efficient In-network RFID data Filtering Scheme in Wireless Sensor networks

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SENSORS 2011年第7期11卷 7004-7021页

作者： Bashir, Ali Kashif Lim, Se-Jung Hussain, Chauhdary Sajjad Park, Myong-Soon Korea Univ Dept Comp & Radio Commun Engn Seoul 136713 South Korea

RFID (Radio frequency identification) and wireless sensor networks are backbone technologies for pervasive environments. In integration of RFID and WSN, RFID data uses WSN protocols for multi-hop communications. Energy is a critical issue in WSNs;however, RFID data contains a lot of duplication. These duplications can be eliminated at the base station, but unnecessary transmissions of duplicate data within the network still occurs, which consumes nodes' energy and affects network lifetime. In this paper, we propose an in-network RFID data filtering scheme that efficiently eliminates the duplicate data. For this we use a clustering mechanism where cluster heads eliminate duplicate data and forward filtered data towards the base station. Simulation results prove that our approach saves considerable amounts of energy in terms of communication and computational cost, compared to existing filtering schemes.

关键词： RFID data filtering energy-efficiency in WSN in-network data processing integration of RFID with WSN redundant readers

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NOA: A Scalable Multi-Parent Clustering Hierarchy for WSNs

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Procedia Computer Science 2012年 10卷 1140-1145页

作者： Johnathan Vee Cree Jose Delgado-Frias Mike Hughes Brion Burghard Kurt Silvers School of Electrical Engineering and Computer Science Washington State University Pullman WA Pacific Northwest National Laboratory Richland WA

NOA is a multi-hop, multi-parent, N-tiered, hierarchical clustering algorithm that provides a scalable, robust and reliable solution for autonomous configuration of large-scale wireless sensor networks. The novel clustering hierarchy's inherent benefits can be utilized by in-network data processing techniques to provide a robust data processing solution capable of reducing the amount of data sent to data sinks. Utilizing a multi-parent framework, NOA reduces the cost of network configuration when compared to current hierarchical beaconing solutions by removing the r-hop fi (where r is the radius of the cluster). NOA instead utilizes common children to distribute information about the hierarchy's topology to siblings. NOA 2 , a two-parent clustering hierarchy solution, and NOA 3 , the three-parent variant, saw up to an 83% and 72% reduction in communication overhead, respectively, when compared to configuring the network using a one-parent hierarchical beaconing solution, as well as 92% and 88% less overhead when compared to two-and three-parent variants of hierarchical beaconing.

关键词： wireless sensor networks multi-parent clustering hierarchy autonomous configuration in-network data processing

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CCDM: Ladder-Logic Programming for Wireless Sensors and Actuators with Central Controller-Based Device Management

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IEICE TRANSACTIONS ON COMMUNICATIONS 2011年第8期E94B卷 2208-2215页

作者： Ochiai, Hideya Esaki, Hiroshi Univ Tokyo Tokyo 1138656 Japan

This paper proposes ladder-logic programming model for sensor actuator networks. We also demonstrate optimized operations of them with central controller-based device management (CCDM) architecture. A wireless sensor actuator network consists of distributed wireless nodes, and implementing data streams and data processors onto these wireless nodes has been challenging. System programmers have to describe their instructions by a programming language, and data processors must be placed so that it optimizes, for example, total network traffic. The ladder-logic model enables the programming of them, and CCDM makes various types of optimizations feasible, including the optimization of network traffic, delivery latency, load-balancing and fault-tolerance even though these algorithms are not lightweight. In this paper, we focus on traffic reduction case, and propose two moderately complex algorithms. The experiment has shown that CCDM achieves optimizations even with such moderately complex algorithms.

关键词： ladder-logic program wireless sensor actuator networks central controller-based device management in-network data processing

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A System for Distributed Event Detection in Wireless Sensor networks

A System for Distributed Event Detection in Wireless Sensor ...

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9th ACM/IEEE International Conference on Information processing in Sensor networks (IPSN)

作者： Wittenburg, Georg Dziengel, Norman Wartenburger, Christian Schiller, Jochen Free Univ Berlin Dept Math & Comp Sci Takustr 9 D-14195 Berlin Germany

ISBN: (纸本)9781605589886

Event detection is a major issue for applications of wireless sensor networks. In order to detect an event, a sensor network has to identify which application-specific incident has occurred based on the raw data gathered by individual sensor nodes. In this context, an event may be anything from a malfunction of monitored machinery to an intrusion into a restricted area. The goal is to provide high-accuracy event detection at minimal energy cost in order to maximize network lifetime. In this paper, we present a system for collaborative event detection directly on the sensor nodes. The system does not require a base station for centralized coordination or processing, and is fully trainable to recognize different classes of application-specific events. Communication overhead is reduced to a minimum by processing raw data directly on the sensor nodes and only reporting which events have been detected. The detection accuracy is evaluated using a 100-node sensor network deployed as a wireless alarm system on the fence of a real-world construction site.

关键词： wireless sensor network distributed event detection in-network data processing pattern recognition

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Mires++: A Reliable, Energy-aware Clustering Algorithm for Wireless Sensor networks

Mires++: A Reliable, Energy-aware Clustering Algorithm for W...

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13th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

作者： Nie, Pin Jin, Zhihua Gong, Yi Aalto Univ Sch Sci & Technol Dept Comp Sci & Engn Espoo Finland

ISBN: (纸本)9781450302746

Wireless Sensor networks (WSNs) often contain a large number of nodes. In order to organize nodes efficiently for a long lifespan, clustering algorithm is demanded in WSNs to reduce redundant data transmissions and to save energy. We propose a novel clustering algorithm to create reliable and energy-aware clusters for in-network data processing. The clustering algorithm is a new service on a publish/subscribe middleware called Mires. The goal is to improve load balancing and robustness. Our clustering algorithm considers location information to facilitate boundary control. We conducted simulations to evaluate performance and energy efficiency. We implemented a prototype for feasibility demonstration.

关键词： Wireless Sensor network Clustering Algorithm Middleware Publish/Subcribe Paradigm in-network data processing

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A Parallel Simulated Annealing Architecture for Model Updating in Wireless Sensor networks

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IEEE SENSORS JOURNAL 2009年第11期9卷 1503-1510页

作者： Zimmerman, Andrew T. Lynch, Jerome P. Univ Michigan Ann Arbor MI 48109 USA

In recent years, wireless sensing technologies have provided a much sought-after alternative to expensive cabled monitoring systems. Wireless sensing networks forego the high data transfer rates associated with cabled sensors in exchange for low-cost and low-power communication between a large number of sensing devices, each of which features embedded data processing capabilities. As such, a new paradigm in large-scale data processing has emerged;one where communication bandwidth is somewhat limited but distributed data processing centers are abundant. By taking advantage of this grid of computational resources, data processing tasks once performed independently by a central processing unit can now be parallelized, automated, and carried out within a wireless sensor network. By utilizing the intelligent organization and self-healing properties of many wireless networks, an extremely scalable multiprocessor computational framework can be developed to perform advanced engineering analyses. In this study, a novel parallelization of the simulated annealing stochastic search algorithm is presented and used to update structural models by comparing model predictions to experimental results. The resulting distributed model updating algorithm is validated within a network of wireless sensors by identifying the mass, stiffness, and damping properties of a three-story steel structure subjected to seismic base motion.

关键词： in-network data processing parallel algorithms structural monitoring wireless sensors

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In-network Training and Distributed Event Detection in Wireless Sensor networks 08

In-network Training and Distributed Event Detection in Wirel...

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6th ACM Conference on Embedded networked Sensor Systems

作者： Wittenburg, Georg Dziengel, Norman Schiller, Jochen Free Univ Berlin Dept Math & Comp Sci D-14195 Berlin Germany

ISBN: (纸本)9781595939906

In order to avoid transmitting raw data to a base station, sensor nodes are trained to cooperatively recognize deployment-specific events based on the data sampled by their sensors. As both training and event detection are performed without the need for central coordination or processing, only information about the detected event needs to be reported.

关键词： Wireless Sensor networks Distributed Event Detection in-network data processing Pattern Recognition

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Fence monitoring - Experimental evaluation of a use case for wireless sensor networks

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4th European Conference on Wireless Sensor networks

作者： Wittenburg, Georg Terfloth, Kirsten Villafuerte, Freddy Lopez Naumowicz, Tomasz Ritter, Hartmut Schiller, Jochen Free Univ Berlin Dept Math & Comp Sci Takustr 9 D-14195 Berlin Germany

ISBN: (纸本)9783540698296

in-network data processing and event detection on resource-constrained devices are widely regarded as distinctive and novel features of wireless sensor networks. The vision is that through cooperation of many sensor nodes the accuracy of event detection can be greatly improved. On the practical side however, little real-world experience exists in how far these goals can be achieved. In this paper, we present the results of a small deployment of sensor nodes attached to a fence with the goal of collaboratively detecting and reporting security relevant incidents, such as a person climbing over the fence. Based on experimental data we discuss in detail the process of in-network event detection both from the conceptual side and by evaluating the results obtained. Reusing the same traces in a simulated network, we also look into the impact of multi-hop event reporting.

关键词： wireless sensor networks in-network data processing event detection experimental evaluation use case fence monitoring

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Fence monitoring: experimental evaluation of a use case for wireless sensor networks 07

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Proceedings of the 4th European conference on Wireless sensor networks

作者： Georg Wittenburg Kirsten Terfloth Freddy López Villafuerte Tomasz Naumowicz Hartmut Ritter Jochen Schiller Department of Mathematics and Computer Science Freie Universität Berlin Berlin Germany

ISBN: (纸本)9783540698296

in-network data processing and event detection on resource-constrained devices are widely regarded as distinctive and novel features of wireless sensor networks. The vision is that through cooperation of many sensor nodes the accuracy of event detection can be greatly improved. On the practical side however, little real-world experience exists in how far these goals can be *** this paper, we present the results of a small deployment of sensor nodes attached to a fence with the goal of collaboratively detecting and reporting security relevant incidents, such as a person climbing over the fence. Based on experimental data we discuss in detail the process of innetwork event detection both from the conceptual side and by evaluating the results obtained. Reusing the same traces in a simulated network, we also look into the impact of multi-hop event reporting.

关键词： in-network data processing experimental evaluation event detection wireless sensor networks fence monitoring use case

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