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检索条件"任意字段=9th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2014"

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Harnessing Non-Uniform Transmit Power Levels for Improved Sequence Based Localization

Harnessing Non-Uniform Transmit Power Levels for Improved Se...

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

作者： Deora, Suvil Krishnamachari, Bhaskar Univ So Calif Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)9781479946181

Sequence-based localization (SBL) is a technique whereby a node is localized based on the ranked sequence of signal strengths obtained from a set of beacon nodes. SBL effectively partitions the area into regions corresponding to unique ranked sequences. Prior work has developed SBL under the assumption that all beacons have the same transmit power. In this work, we consider beacons with unequal transmit power for sequence-based localization and present heuristic algorithms for joint transmit power optimization and beacon placement. We show through comprehensive simulations that a novel enhancement of SBL utilizing optimized non-uniform transmit powers, coupled with careful beacon placement, which we refer to as NU-SBL, can dramatically improve the area partitioning compared to traditional SBL. However, in evaluating these schemes under stochastic fading, we find that the original SBL with optimized location performs nearly as well or slightly better than NU-SBL in many cases. We introduce another scheme, that we refer to as NU-SBL-ZOOM, which further allows the power levels to be optimized non-uniformly so as to focus in on a particular smaller region within the larger localization space. NU-SBL-ZOOM is found to perform much better in terms of both area partitioning as well as location error in the presence of fading.

关键词： calibration free indoor localization location optimization location sequence particle filter power optimization sequence based localization wifi wireless sensor network Transmitter power Wi-Fi short base line Particle filters Wireless sensor networks Beacons location error fading color

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Low-Power Listening Goes Multi-Channel

Low-Power Listening Goes Multi-Channel

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

作者： Al Nahas, Beshr Duquennoy, Simon Iyer, Venkatraman Voigt, thiemo SICS Swedish ICT AB Kista Sweden Uppsala Univ Uppsala Sweden

ISBN: (纸本)9781479946181

Exploiting multiple radio channels for communication has been long known as a practical way to mitigate interference in wireless settings. In Wireless sensor Networks, however, multi-channel solutions have not reached their full potential: the MAC layers included in TinyOS or the Contiki OS for example are mostly single-channel. the literature offers a number of interesting solutions, but experimental results were often too few to build confidence. We propose a practical extension of low-power listening, MiCMAC, that performs channel hopping, operates in a distributed way, and is independent of upper layers of the protocol stack. the above properties make it easy to deploy in a variety of scenarios, without any extra configuration/scheduling/channel selection hassle. We implement our solution in Contiki and evaluate it in a 97-node testbed while running a complete, out-of-the-box low-power IPv6 communication stack (UDP/RPL/6LoWPAN). Our experimental results demonstrate increased resilience to emulated WiFi interference (e.g., data yield kept above 90% when ContikiMAC drops in the 40% range). In noiseless environments, MiCMAC keeps the overhead low in comparison to ContikiMAC, achieving performance as high as 99% data yield along with sub-percent duty cycle and sub-second latency for a 1-minute inter-packet interval data collection.

关键词： 6LoWPAN Channel Hopping Contiki IoT Low Power MAC Multichannel Wireless sensor Networks MAXIMUM ACCEPTABLE CONTAMINATION Media Access Protocol LOW POWER Wireless sensor networks MULTICHANNEL wireless channels Auscultation Listening

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An Emulation-based Method for Lifetime Estimation of Wireless sensor Networks

An Emulation-based Method for Lifetime Estimation of Wireles...

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

作者： Dron, Wilfried Duquennoy, Simon Voigt, thiemo Hachicha, Khalil Garda, Patrick Univ Paris 06 UMR 7606 Lab Informat Paris 6 F-75005 Paris France CNRS UMR7606 LIP6 F-75005 Paris France SICS Swedish ICT AB Uppsala Sweden Uppsala Univ Uppsala Sweden

ISBN: (纸本)9781479946181

Lifetime estimation in Wireless sensor Networks (WSN) is crucial to ensure that the network will last long enough (low maintenance cost) while not being over-dimensioned (low initial cost). Existing solutions have at least one of the two following limitations: (1) they are based on theoretical models or high-level protocol implementations, overlooking low-level (e.g., hardware, driver, etc.) constraints which we find have a significant impact on lifetime, and (2) they use an ideal battery model which over-estimates lifetime due to its constant voltage and its inability to model the non-linear properties of real batteries. We introduce a method for WSN lifetime estimation that operates on compiled firmware images and models the complex behavior of batteries. We use the MSPSim/Cooja node emulator and network simulator to run the application in a cycle-accurate manner and log all component states. We then feed the log into our lifetime estimation framework, which models the nodes and their batteries based on both technical and experimental specifications. In a case study of a Contiki RPL/6LoWPAN application, we identify and resolve several low-level implementation issues, thereby increasing the predicted network lifetime from 134 to 484 days. We compare our battery model to the ideal battery model and to the lifetime estimation based on the radio duty cycle, and find that there is an average over-estimation of 36% and 76% respectively.

关键词： Firmware

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Trajectory Approximation for Resource Constrained Mobile sensor Networks

Trajectory Approximation for Resource Constrained Mobile Sen...

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

作者： Murtaza, Ghulam Kanhere, Salil S. Ignjatovic, Aleksandar Jurdak, Raja Jha, Sanjay Univ New S Wales Sch Comp Sci & Engn Sydney NSW 2052 Australia CSIRO Autonomous Syst Lab Brisbane Qld Australia

ISBN: (纸本)9781479946181

Low-power compact sensor nodes are being increasingly used to collect trajectory data from moving objects such as wildlife. the size of this data can easily overwhelm the data storage available on these nodes. Moreover, the transmission of this extensive data over the wireless channel may prove to be difficult. the memory and energy constraints of these platforms underscores the need for lightweight online trajectory compression albeit without seriously affecting the accuracy of the mobility data. In this paper, we present a novel online Polygon Based Approximation (PBA) algorithm that uses regular polygons, the size of which is determined by the allowed spatial error, as the smallest spatial unit for approximating the raw GPS samples. PBA only stores the first GPS sample as a reference. Each subsequent point is approximated to the centre of the polygon containing the point. Furthermore, a coding scheme is proposed that encodes the relative position (distance and direction) of each polygon with respect to the preceding polygon in the trajectory. the resulting trajectory is thus a series of bit codes, that have pair-wise dependencies at the reference point. It is thus possible to easily reconstruct an approximation of the original trajectory by decoding the chain of codes starting with the first reference point. Encoding a single GPS sample is an O(1) operation, with an overall complexity of O(n). Moreover, PBA only requires the storage of two raw GPS samples in memory at any given time. the low complexity and small memory footprint of PBA make it particularly attractive for low-power sensor nodes. PBA is evaluated using GPS traces that capture the actual mobility of flying foxes in the wild. Our results demonstrate that PBA can achieve up to nine-fold memory savings as compared to Douglas-Peucker line simplification heuristic. While we present PBA in the context of low-power devices, it can be equally useful for other GPS-enabled devices such smartphones and car nav

关键词： Animal Habitat monitoring Flying Foxes GPS trajectory approximation

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2014 ieee conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2014

2014 IEEE Conference on Computational Intelligence in Bioinf...

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9th ieee international conference on distributed computing in sensor systems, dcoss 2014

ISBN: (纸本)9781479946198

the proceedings contain 55 papers. the topics discussed include: low-power listening goes multi-channel;PhyTraces: simulating new RF environments with physical layer traces;a novel wake-up receiver with addressing capability for wireless sensor nodes;symmetric coherent link degree, adaptive throughput-transmission power for wireless sensor networks;indoor occupant positioning system using active RFID deployment and particle filters;harnessing non-uniform transmit power levels for improved sequence based localization;FlashTrack: a fast, in-network tracking system for sensor networks;crowd-sensing with polarized sources;a dual-sensor enabled indoor localization system with Crowdsensing spot survey;on decentralized in-network aggregation in real-world scenarios with crowd mobility;and the information funnel: exploiting named data for information-maximizing data collection.

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Self-Organising Zooms for Decentralised Redundancy Management in Visual sensor Networks

Self-Organising Zooms for Decentralised Redundancy Managemen...

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international conference on Self-Adaptive and Self-Organizing systems (SASO)

作者： Lukas Esterle Bernhard Rinner Peter R. Lewis Institute of Networked and Embedded Systems LakesideLabs Klagenfurt Klagenfurt Austria Aston Lab for Intelligent Collectives Engineering (ALICE) Aston University Birmingham UK

When visual sensor networks are composed of cameras which can adjust the zoom factor of their own lens, one must determine the optimal zoom levels for the cameras, for a given task. this gives rise to an important trade-off between the overlap of the different cameras' fields of view, providing redundancy, and image quality. In an object tracking task, having multiple cameras observe the same area allows for quicker recovery, when a camera fails. In contrast having narrow zooms allow for a higher pixel count on regions of interest, leading to increased tracking confidence. In this paper we propose an approach for the self-organisation of redundancy in a distributed visual sensor network, based on decentralised multi-objective online learning using only local information to approximate the global state. We explore the impact of different zoom levels on these trade-offs, when tasking Omni directional cameras, having perfect 360-degree view, with keeping track of a varying number of moving objects. We further show how employing decentralised reinforcement learning enables zoom configurations to be achieved dynamically at runtime according to an operator's preference for maximising either the proportion of objects tracked, confidence associated with tracking, or redundancy in expectation of camera failure. We show that explicitly taking account of the level of overlap, even based only on local knowledge, improves resilience when cameras fail. Our results illustrate the trade-off between maintaining high confidence and object coverage, and maintaining redundancy, in anticipation of future failure. Our approach provides a fully tunable decentralised method for the self-organisation of redundancy in a changing environment, according to an operator's preferences.

关键词： Redundancy Resilience Peer-to-peer computing Visualization Smart cameras Runtime

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distributed beamforming for underwater sensor networks 9

Distributed beamforming for underwater sensor networks

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9th ACM international conference on Underwater Networks and systems, WUWNet 2014

作者： Kim, Yonggang Lim, Hyuk Gwangju500-712 Korea Republic of

ISBN: (纸本)9781450332774

We propose a binary-feedback-based distributed beamforming for underwater sensor networks (UWSNs). distributed beamforming is a technique that enables distributed sensor nodes to cooperatively transmit signals in order to improve the signal-to-noise ratio (SNR). One of the simple and scalable distributed beamforming techniques is the binary-feedback-based distributed beamforming. Each node independently and randomly adjusts its phase according to the binary feedback from a receiver. In this paper, a modified binary-feedback-based distributed beamforming is applied to a UWSN with harsh channel characteristics to expedite phase convergence. the proposed algorithm adaptively narrows down or extends the phase-selection range over time depending on both the previous phase selections and newly received feedbacks.

关键词： Feedback

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distributed Joint Estimation and Identification for sensor Networks with Unknown Inputs

Distributed Joint Estimation and Identification for Sensor N...

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9th ieee international conference on Intelligent sensors, sensor Networks and Information Processing (ISSNIP)

作者： Lan, Hua Bishop, Adrian N. Pan, Quan Northwestern Polytech Univ Sch Automat Xian 710072 Peoples R China Australian Natl Univ Natl ICT Australia NICTA Canberra ACT Australia

ISBN: (纸本)9781479928439

In this paper we consider the problem of distributed, joint, state estimation and identification for a class of stochastic systems with unknown inputs (UI). A distributed Expectation-Maximization (EM) algorithm is presented to estimate the local state at each sensor node by using the local observations in the E-step, and three different consensus schemes are proposed to diffuse the local state estimate to each sensor's neighbours and to derive the global state estimate at each node. In the M-step, each sensor identities the local unknown inputs by using the global state estimate. A numerical example of target tracking in distributed sensor network is given to verify the three different distributed EM algorithms compared with the centralized EM based measurement-level and track-level fusion.

关键词： Stochastic systems

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Proceedings of the 9th ACM international conference on Underwater Networks and systems, WUWNET 2014

Proceedings of the 9th ACM International Conference on Under...

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9th ACM international conference on Underwater Networks and systems, WUWNet 2014

ISBN: (纸本)9781450332774

the proceedings contain 53 papers. the topics discussed include: busy terminal problem and implications for MAC protocols in underwater acoustic networks;a multichannel MAC protocol for underwater acoustic sensor networks;FS-MACA: a future scheduling MAC protocol in underwater acoustic networks;network coding for flooding-based routing in underwater sensor networks;cooperative path planning for networked gliders under weak communication;a new approach for time reversal communication over doubly spread channels;localization of mobile nodes in an underwater distributed antenna system;underwater electric field communication;a double rate positioning algorithm for underwater acoustic networks and experiment research;and on capacity and delay scaling laws in underwater acoustic networks.

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ieee ISSNIP 2014 - 2014 ieee 9th international conference on Intelligent sensors, sensor Networks and Information Processing, conference Proceedings

IEEE ISSNIP 2014 - 2014 IEEE 9th International Conference on...

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9th ieee international conference on Intelligent sensors, sensor Networks and Information Processing, ieee ISSNIP 2014

ISBN: (纸本)9781479928439

the proceedings contain 117 papers. the topics discussed include: phase-correction-network design using the SOCP optimization scheme;Gaussian-sum cubature kalman smoothers for bearings-only tracking;optimized KPCA method for chemical vapor class recognition by saw sensor array response analysis;pattern classification adopting multivariate polynomials;non-invasive synchronized spatially high-resolution wireless body area network;a novel channel aware stage ARQ in wide area wireless sensor networks;finding the maximum lifetime data-gathering tree in sensor networks;improving Wi-Fi based indoor positioning using particle filter based on signal strength;randomized multipath routing for secure data collection;image deblurring for navigation systems of vision impaired people using sensor fusion data;and distributed joint estimation and identification for sensor networks with unknown inputs.

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