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An energy-efficient adaptive sampling scheme for wireless sensor networks

An energy-efficient adaptive sampling scheme for wireless se...

引用

intelligent sensors, sensor networks and information processing conference (ISSNIP)

作者： Alireza Masoum Nirvana Meratnia Paul J.M. Havinga Pervasive Systems Department of Computer Science University of Twente Netherlands

Wireless sensor networks are new monitoring platforms. To cope with their resource constraints, in terms of energy and bandwidth, spatial and temporal correlation in sensor data can be exploited to find an optimal sampling strategy to reduce number of sampling nodes and/or sampling frequencies while maintaining high data quality. Majority of existing adaptive sampling approaches change their sampling frequency upon detection of (significant) changes in measurements. There are, however, applications that can tolerate (significant) changes in measurements as long as measurements fall within a specific range. Using existing adaptive sampling approaches for these applications is not energy-efficient. Targeting this type of applications, in this paper, we propose an energy-efficient adaptive sampling technique ensuring a certain level of data quality. We compare our proposed technique with two existing adaptive sampling approaches in a simulation environment and show its superiority in terms of energy efficiency and data quality.

关键词： Correlation Energy efficiency Current measurement Wireless sensor networks Adaptive systems Adaptation models

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The debris flow disaster faster-than-early forecast system (DFS) with multi-sensors integrated wireless sensor networks

The debris flow disaster faster-than-early forecast system (...

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2013 International conference on Precision Mechanical Instruments and Measurement Technology, ICPMIMT 2013

作者： Zhao, Rong Li, Cai Hong Tan, Yun Jian Shi, Jun Mu, Fu Qiang Chen, Xiao Fan Li, Lian School of Information Science and Engineering Lanzhou University Lanzhou 730000 China Gansu Wanwei Company Lanzhou 730000 China Department of Military Logistics Military Transportation University Tianjin 300161 China

This paper presents a Debris Flow Disaster Faster-than-early Forecast System (DFS) with wireless sensor networks. Debris flows carrying saturated solid materials in water flowing downslope often cause severe damage to the lives and properties in their path. Faster-than-early or faster-than-real-time forecasts are imperative to save lives and reduce damage. This paper presents a novel multi-sensor networks for monitoring debris flows. The main idea is to let these sensors drift with the debris flow, to collect flow information as they move along, and to transmit the collected data to base stations in real time. The Raw data are sent to the cloud processing center from the base station. And the processed data and the video of the debris flow are display on the remote PC. The design of the system address many challenging issues, including cost, deployment efforts, and fast reaction. © 2013 Trans Tech Publications Ltd, Switzerland.

关键词： Wireless sensor networks

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Characterization of a new flexible pressure sensor for body sensor networks

Characterization of a new flexible pressure sensor for body ...

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intelligent sensors, sensor networks and information processing conference (ISSNIP)

作者： Sravan Salibindla Brice Ripoche Daniel T. H. Lai Simon Maas Faculty Research Group in Telecommunications Electronics Photonics and Sensors Victoria University Australia Universit de Bourgogne Dijon France Racesafe Australia Australia

Pressure sensors are generally used in body sensor networks to measure physical forces exerted by our limbs. Popular sensors include the force sensitive resistor and the piezoelectric sensors, both made of rigid semiconductor technology. However, the application of these sensors to human movement monitoring necessitates that these sensors be made flexible. This paper focuses on the design of flexible pressure sensors, in particular on the effect of electrode composition and thin film carbon infused conductive layers on a force sensitive resistor based pressure sensor. Fourteen pressure sensor designs with Velostat as a piezo resistive layer were developed with a variety of electrode materials i.e. silver, copper and tin. These sensors were characterized into three types, according to the properties of the conducting material placed with respect to insulating material in the pressure sensor. Our force versus resistance and deformation experiments reveal similar trends to popular semiconductor based force sensitive resistors (FSRs) i.e. Tekscan and Novel sensors. The best sensor design achieved a resistance range of 4000Ω over a force range of 0 to 20N. The design consisted of silver-nylon conducting thread stitched into a neoprene insulator layer. Tests demonstrated that the developed sensor was reliable and the performance was repeatable.

关键词： Yarn Copper sensors Spirals Silver Fabrics Conductors

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Performance sensitivity of routing algorithms with various models of wireless sensor networks

Performance sensitivity of routing algorithms with various m...

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intelligent sensors, sensor networks and information processing conference (ISSNIP)

作者： Julien Bernard Violeta Felea Institut FEMTO-ST UMR CNRS 6174 University of Franche-Comté Besancon France

Routing algorithms for wireless sensor networks are often evaluated through simulations in order to measure the lifetime of the network and the efficiency of the algorithm regarding energy consumption. Some particular communication models with their parameters' set are used to implement the simulation and are rarely identical. We exhibit two kinds of performance sensitivity regarding simulations: the first one concerns the communication model itself and the second one is generated by the parameters of the communication model. We provide a generalized model that covers very different situations and we state the routing problem as a linear programming problem in order to measure the absolute efficiency of the algorithms with different models and parameter values. Our experiments run using two routing protocols, LEACH and Flow Augmentation, showed that different models or parameters can lead to significantly different results and conclusions. We tried to characterize the origin of the performance sensitivity in each case.

关键词： Routing Computational modeling Protocols Wireless sensor networks Energy consumption Linear programming Sensitivity

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Privacy-preserving data aggregation in Participatory Sensing networks

Privacy-preserving data aggregation in Participatory Sensing...

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intelligent sensors, sensor networks and information processing conference (ISSNIP)

作者： Sarah M. Erfani Shanika Karunasekera Christopher Leckie Udaya Parampalli NICTA Victoria Research Laboratory Department of Computing and Information Systems University of Melbourne Australia

Participatory sensing using mobile devices is emerging as a promising method for large-scale data sampling. A critical challenge for participatory sensing is how to preserve the privacy of individual contributors' data. In addition, the integrity of the data aggregation is vital to ensure the acceptance of the participating sensing model by the participants. Existing approaches to these issues suffer from excessive communication cost, long delays or rely on a trusted third party. The objective of our research is to design a data-aggregation scheme for participatory sensing systems that addresses user privacy and data integrity while keeping communication overhead as low as possible. We propose four techniques to address these challenges and validate them through analytical models and simulations.

关键词： sensors Data privacy Tin Privacy Atmospheric measurements Particle measurements Servers

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Enhanced De la Garza routing algorithm for wireless sensor networks

Enhanced De la Garza routing algorithm for wireless sensor n...

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intelligent sensors, sensor networks and information processing conference (ISSNIP)

作者： Jun-Yun Zheng Ren-Song Ko Department of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

Large scale wireless sensor networks bring up many challenges in efficient and effect routing algorithm design due to the complexity and hardware constraints. The scalability challenge may be mitigated from a macroscopic perspective. One example is the distributed De la Garza iteration (DDLGI) algorithm for global routing load-balancing, based on a set of partial differential equations (PDEs) iteratively solved by the De la Garza method. Although DDLGI always converges to the numerical solution of the PDEs, the convergence may be unacceptably slow, which leads to excess energy consumption in communication. Thus, we propose the enhanced De la Garza routing (E-DLGR) algorithms in which nodes may exchange less information and only need to exchange these information with closer nodes for iteration. In addition, E-DLGR may converge faster and further reduce energy consumption without too much sacrifice of accuracy. The simulation results are presented to assess the efficiency and effectiveness of E-DLGR in energy savings.

关键词： Routing Convergence Wireless sensor networks Energy consumption Algorithm design and analysis Mathematical model Solids

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A wake-up switch using a piezoelectric differential pressure sensor

A wake-up switch using a piezoelectric differential pressure...

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intelligent sensors, sensor networks and information processing conference (ISSNIP)

作者： Yutaka Tomimatsu Hidetoshi Takahashi Takeshi Kobayashi Kiyoshi Matsumoto Isao Shimoyama Toshihiro Itoh Ryutaro Maeda NMEMS Technology Research Organization Tsukuba Ibaraki Japan University of Tokyo Tokyo Japan National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan

This paper reports a wake-up switch using a piezoelectric differential pressure sensor in order to reduce the power consumption of a wireless sensor node. Air pressure change surrounding the sensor is detected by using a Pb(Zr, Ti)O 3 (PZT) thin film cantilever with the dimension of 1500 μm × 1000 μm × 2 μm. The sensor has high sensitivity with low power consumption due to its thin cantilever and low capacitance. The sensitivity was 2.4 mV/Pa from -30 Pa to 30 Pa. It was demonstrated that the fabricated sensor performed as a wake-up switch when pressure varies in 10 Pa with low power consumption.

关键词： Switches Power demand Silicon Sensitivity Pressure measurement Resonant frequency Wireless sensor networks

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Decision Making in sensor networks Observing Poisson Processes

Decision Making in Sensor Networks Observing Poisson Process...

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21st Mediterranean conference on Control and Automation (MED)

作者： Pahlajani, Chetan D. Poulakakis, Ioannis Tanner, Herbert G. Univ Delaware Dept Math Sci Newark DE 19716 USA Univ Delaware Dept Mech Engn Newark DE 19716 USA

ISBN: (纸本)9781479909957;9781479909971

This paper addresses a detection problem where several spatially distributed sensors independently observe a time-inhomogeneous stochastic process. The task is to decide at the end of a fixed time interval between two hypotheses regarding the statistics of the observed process. In the proposed method, each of the sensors transmits once to a fusion center a locally processed summary of its information in the form of a likelihood ratio. The fusion center then combines these messages to arrive at an optimal decision in the Neyman-Pearson framework. The approach is motivated by applications arising in the detection of mobile radioactive sources, and it serves as a first step toward the development of novel fixed-interval detection algorithms that combine decentralized processing with optimal centralized decision making.

关键词： decision making distributed sensors radioactive sources stochastic processes

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A Node Localization Algorithm Based on Adaptive Inertia Weight Particle Swarm Optimization

A Node Localization Algorithm Based on Adaptive Inertia Weig...

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International conference on sensors, Measurement and intelligent Materials (ICSMIM 2012)

作者： Wei, Yehua Wu, Wenkang Hunan Normal Univ Coll Phys & Informat Sci Changsha 410081 Hunan Peoples R China

ISBN: (纸本)9783037856529

Node localization is a key technology of wireless sensor network applications. Considering the resource constraints of senor nodes, node localization is transformed into an unconstrained optimization problem, then one distributed localization algorithm based on particle swarm with adaptive inertia weight is put forward. The unknown nodes construct particle region using the received information of their neighbor anchor nodes, which can reduce the search scope and save the computational cost of the algorithm. Mean deviation of the distances which are the particles to the global optima can be computed to characterize the distribution of particles, and is used to adaptively adjust the inertia weight to avoid falling into the local optima. Simulation shows that the proposed algorithm has a good localization performance.

关键词： Wireless sensor networks Node Localization Adaptive Inertia Weight Particle Swarm

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RFID based real-time manufacturing information perception and processing

RFID based real-time manufacturing information perception an...

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13th International conference on Algorithms and Architectures for Parallel processing, ICA3PP 2013

作者： Song, Wei Li, Wenfeng Fu, Xiuwen Cao, Yulian Yang, Lin School of Logistics Engineering Wuhan University of Technology Wuhan China

ISBN: (纸本)9783319038889

Timeliness, accuracy and effectiveness of manufacturing information in manufacturing and business process management have become important factors of constraint to business growth. Single RFID (Radio Frequency Identification) technology with uncertainty will cause great difficulties for application systems. This paper mainly focuses on the process of manufacturing information, real-time information perception and processing problems. It achieves real-time manufacturing information acquisition and processing by combining RFID and sensor technology, which uses Complex Event processing (CEP) mechanism to realize sensor and RFID data fusion. First of all, the event processing framework which is from the perspective of the integration of sensors and RFID is given. Then, real-time acquisition and intelligent information processing models were introduced, including primitive event handling and complex event processing method. Finally, the practicality of our method was verified through applying it to a mold manufacturing enterprise management field. © Springer International Publishing Switzerland 2013.

关键词： Internet of things

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