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检索条件"任意字段=9th IEEE International Conference on Distributed Computing in Sensor Systems, DCoSS 2013"

共 236 条记录，以下是61-70 订阅

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A Novel wake-up Receiver with Addressing Capability for Wireless sensor Nodes

A Novel wake-up Receiver with Addressing Capability for Wire...

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

作者： Petrioli, Chiara Spenza, Dora Tommasino, Pasquale Trifiletti, Alessandro Univ Roma La Sapienza Comp Sci Deparment Rome Italy Univ Roma La Sapienza Dept Informat Elect & Telecommun Engn Rome Italy

ISBN: (纸本)9781479946181

Emerging low-power radio triggering techniques for wireless motes are a promising approach to prolong the lifetime of Wireless sensor Networks (WSNs). By allowing nodes to activate their main transceiver only when data need to be transmitted or received, wake-up-enabled solutions virtually eliminate the need for idle listening, thus drastically reducing the energy toll of communication. In this paper we describe the design of a novel wake-up receiver architecture based on an innovative passband filter bank with high selectivity capability. the proposed concept, demonstrated by a prototype implementation, combines both frequency-domain and time-domain addressing space to allow selective addressing of nodes. To take advantage of the functionalities of the proposed receiver, as well as of energy-harvesting capabilities modern sensor nodes are equipped with, we present a novel wake-up-enabled harvesting-aware communication stack that supports both interest dissemination and convergecasting primitives. this stack builds on the ability of the proposed WuR to support dynamic address assignment, which is exploited to optimize system performance. Comparison against traditional WSN protocols shows that the proposed concept allows to optimize performance tradeoffs with respect to existing low-power communication stacks.

关键词： Wake-up radio communication stack energy harvesting wireless sensor networks Wireless sensor networks energy harvesting Receivers address assignment Ganglia Addressing Communication Research wireless

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Data Selection for Maximum Coverage in sensor Networks with Cost Constraints

Data Selection for Maximum Coverage in Sensor Networks with ...

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

作者： Rager, Scott T. Ciftcioglu, Ertugrul N. La Porta, thomas F. Leung, Alice Dron, William Ramanathan, Ram Hancock, John Penn State Univ University Pk PA 16802 USA Raytheon BBN Technol Cambridge MA 02138 USA Artistech Inc Fairfax VA 22030 USA

ISBN: (纸本)9781479946181

In many deployments of wireless sensor networks (WSNs), the primary goal is to collect and deliver data from many nodes to a data sink. this goal must be met while considering limited resources, such as battery life, in the wireless nodes. In this work, we propose considering the content of generated data to make intelligent data and node selection decisions. We formally present the problem of maximizing coverage of this collected data while restricting individual node costs to remain within a given budget and provide an algorithm that provides the optimal solution. Next we consider the related problem of finding the optimal long-term average coverage subject to average cost constraints and give its solution, which uses Lyapunov Optimization techniques. For real world implementations, we also provide computationally feasible approximation algorithms of both problems along with proven bounds on their performance, including a novel technique that uses virtual queues for the average maximum coverage problem. Finally, we provide simulation results of all proposed algorithms. these results not only demonstrate the benefits of considering data content in scheduling, but also show the advantages from using the long-term average solution and the near-optimal performance of our greedy virtual queue approximation algorithm.

关键词： Approximation algorithms

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A Comparison of On-Mote Lossy Compression Algorithms for Wireless Seismic Data Acquisition

A Comparison of On-Mote Lossy Compression Algorithms for Wir...

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

作者： Rubin, Marc J. Wakin, Michael B. Camp, Tracy Colorado Sch Mines Dept Elect Engn & Comp Sci Golden CO 80401 USA

ISBN: (纸本)9781479946181

In this article, we rigorously compare compressive sampling (CS) to four state of the art, on-mote, lossy compression algorithms (K-run-length encoding (KRLE), lightweight temporal compression (LTC), wavelet quantization thresholding and run-length encoding (WQTR), and a low-pass filtered fast Fourier transform (FFT)). Specifically, we first simulate lossy compression on two real-world seismic data sets, and we then evaluate algorithm performance using implementations on real hardware. In terms of compression rates, recovered signal error, power consumption, and classification accuracy of a seismic event detection task (on decompressed signals), results show that CS performs comparable to (and in many cases better than) the other algorithms evaluated. the main benefit to users is that CS, a lightweight and non-adaptive compression technique, can guarantee a desired level of compression performance (and thus, radio usage and power consumption) without subjugating recovered signal quality. Our contribution is a novel and rigorous comparison of five state of the art, on-mote, lossy compression algorithms in simulation on real-world data sets and implemented on hardware.

关键词： compressive sampling compressive sensing lossy compression seismic wireless sensor networks lossy compression Compressed sensing Earthquakes Wireless sensor networks state of the art seismic data acquisition Dataset compression ratio

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A Fast and Fault-Tolerant distributed Algorithm for Near-Optimal TDMA Scheduling in WSNs

A Fast and Fault-Tolerant Distributed Algorithm for Near-Opt...

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

作者： Bhatia, Ashutosh Hansdah, R. C. Indian Inst Sci Dept Comp Sci & Automat Bangalore 560012 Karnataka India

ISBN: (纸本)9781479946181

the time division multiple access (TDMA) based channel access mechanisms perform better than the contention based channel access mechanisms, in terms of channel utilization, reliability and power consumption, specially for high data rate applications in wireless sensor networks (WSNs). Most of the existing distributed TDMA scheduling techniques can be classified as either static or dynamic. the primary purpose of static TDMA scheduling algorithms is to improve the channel utilization by generating a schedule of smaller length. But, they usually take longer time to schedule, and hence, are not suitable for WSNs, in which the network topology changes dynamically. On the other hand, dynamic TDMA scheduling algorithms generate a schedule quickly, but they are not efficient in terms of generated schedule length. In this paper, we propose a novel scheme for TDMA scheduling in WSNs, which can generate a compact schedule similar to static scheduling algorithms, while its runtime performance can be matched with those of dynamic scheduling algorithms. Furthermore, the proposed distributed TDMA scheduling algorithm has the capability to trade-off schedule length with the time required to generate the schedule. this would allow the developers of WSNs, to tune the performance, as per the requirement of prevalent WSN applications, and the requirement to perform re-scheduling. Finally, the proposed TDMA scheduling is fault-tolerant to packet loss due to erroneous wireless channel. the algorithm has been simulated using the Castalia simulator to compare its performance with those of others in terms of generated schedule length and the time required to generate the TDMA schedule. Simulation results show that the proposed algorithm generates a compact schedule in a very less time.

关键词： Wireless sensor Networks Media Access Control TDMA scheduling

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Performance Enhancement and Evaluation of ieee 802.11ah Multi-Access Point Network using Restricted Access Window Mechanism

Performance Enhancement and Evaluation of IEEE 802.11ah Mult...

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

作者： Raeesi, Orod Pirskanen, Juho Hazmi, Ali Talvitie, Jukka Valkama, Mikko Tampere Univ Technol FI-33720 Tampere Finland Broadcom Corp Tampere Finland

ISBN: (纸本)9781479946181

Internet of things (IoT) and Machine-to-Machine (M2M) applications are typically characterized by moderate investment costs to the M2M devices and infrastructure, in addition to the high reliability and energy efficiency requirements. the new Sub-1 GHz WiFi standard, namely the ieee 802.11ah, is being introduced to address these requirements deploying its recently specified MAC and PHY features and mechanisms. In this paper, we present an extensive analysis of ieee 802.11ah network performance by means of realistic system level simulations. In particular, we focus on realistic performance evaluation and enhancement study of the ieee 802.11ah network when multi-access points (multi-APs) with relatively high number of associated stations (STAs) are considered. the performance evaluation of the multi-AP ieee 802.11ah network considers one of the main proposed MAC enhancement schemes for collision reduction, namely, the Restricted Access Window (RAW) mechanism. the analysis results confirm the importance of this novel mechanism to improve substantially the overall system performance from both network throughput and energy efficiency perspectives. Overall, the technical findings reported in this article strengthen the prospects of ieee 802.11ah as one of the key enabling technologies for wide-scale low-cost and energy-efficient M2M deployments and IoT applications in the future.

关键词： ieee 802.11ah Internet of things Machine-to-Machine multi-APs Restricted Access Window

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Aggregation in Smartphone sensor Networks

Aggregation in Smartphone Sensor Networks

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

作者： Baranasuriya, Nimantha Gilbert, Seth Newport, Calvin Rao, Jayanthi Natl Univ Singapore Dept Comp Sci Singapore 117548 Singapore Georgetown Univ Dept Comp Sci Washington DC 20057 USA Ford Motor Co Res & Adv Engn Dearborn MI 48121 USA

ISBN: (纸本)9781479946181

the first wave of sensor network deployments from the early 2000s relied on aggregation-a strategy in which readings are combined locally using low-power radio links before they are communicated to the gateway. Aggregation reduced dependence on battery-draining, long-distance radio links, and reduced redundancy among reported data. We are now experiencing a second wave of sensor network research driven by ubiquitous smartphone usage. In this paper, we study the application of aggregation to the new smartphone sensor network setting, arguing that it can help reduce costs in contexts where existing cost-reduction strategies, such as opportunistic use of Wi-Fi and data piggybacking, do not apply. In more detail, we propose two new aggregation protocols, designed for the challenges of high mobility, that offer trade-offs in terms of bandwidth and energy savings. We then evaluate these protocols using both testbed experimentation (using a collection of 11 Samsung Galaxy Nexus smartphones running a NoiseTube-like application) and trace-based simulation (using a large collection of mobility traces from taxi cabs in Singapore). Our experiments demonstrate that our aggregation protocols reduce cellular bandwidth usage by up to 95% while losing less than 5% of the data. Moreover, in many common cases, our protocols also yield significant energy savings.

关键词： data aggregation smartphones mobile networks

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A Survey on (mobile) wireless sensor network experimentation testbeds

A Survey on (mobile) wireless sensor network experimentation...

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

作者： Tonneau, Anne-Sophie Mitton, Nathalie Vandaele, Julien Inria Lille Nord Europe Lille France

ISBN: (纸本)9781479946181

With the development of new technologies, these last years have witnessed the emergence of a new paradigm: the Internet of things (IoT) and of the physical world. We are now able to communicate and interact with our surrounding environment through the use of multiple tiny sensors, RFID technologies or small wireless robots. this allows a set of new applications and usages to be envisioned ranging from logistic and traceability purposes to emergency and rescue operations going through the monitoring of volcanos or forest fires. However, all this comes with several technical and scientific issues like how to ensure the reliability of wireless communications in disturbed environments, how to manage efficiently the low resources (energy, memory, etc) or how to set a safe and sustainable maintenance. All these issues are addressed by researchers all around the world but solutions designed for IoT need to face real experimentations to be validated. To ease such experimentations for IoT, several experimental testbeds have been deployed offering diverse and heterogeneous services and tools. this article studies the different requirements and features such facilities should offer and survey the different experimental facilities currently available for the community, the different hardware used (as sensors and robots) and the scope of their services. We expect this survey assist a potential user to easily choose the one to use regarding his own needs. Finally, we identify existing gaps and difficulties and investigate new directions for such facilities.

关键词： Experimentation platforms Internet of things Mobility Testbed Internet of things experimentation mobility Rescue Robot CARRIER SYSTEM ambient environment Wireless sensor networks sensors Legal Services

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Context-Oriented Programming for Adaptive Wireless sensor Network Software

Context-Oriented Programming for Adaptive Wireless Sensor Ne...

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

作者： Afanasov, Mikhail Mottola, Luca Ghezzi, Carlo Politecn Milan Milan Italy SICS Swedish ICT Kista Sweden

ISBN: (纸本)9781479946181

We present programming abstractions for implementing adaptive Wireless sensor Network (WSN) software. the need for adaptability arises in WSNs because of unpredictable environment dynamics, changing requirements, and resource scarcity. However, after about a decade of research in WSN programming, developers are still left with no dedicated support. To address this issue, we bring concepts from Context-Oriented Programming (COP) down to WSN devices. Contexts model the situations that WSN software needs to adapt to. Using COP, programmers use a notion of layered function to implement context-dependent behavioral variations of WSN code. To this end, we provide language-independent design concepts to organize the context-dependent WSN operating modes, decoupling the abstractions from their concrete implementation in a programming language. Our own implementation, called CONESC, extends nesC with COP constructs. Based on three representative applications, we show that CONESC greatly simplifies the resulting code and yields increasingly decoupled implementations compared to nesC. For example, by model-checking every function in either implementations, we show a similar to 50% reduction in the number of program states that programmers need to deal with, indicating easier debugging. In our tests, this comes at the price of a maximum 2.5% (4.5%) overhead in program (data) memory.

关键词： context embedded languages programming self-adaptivity sensor networks Wireless sensor networks Programming WSN gene Language embedding National Electrical Safety Code (NESC) Computer personnel resource scarcity CARD16 gene sensor networks Computer Programming Languages design concept

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Robust Compressive Data Gathering in Wireless sensor Networks with Linear Topology

Robust Compressive Data Gathering in Wireless Sensor Network...

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

作者： Mahmudimanesh, Mohammadreza Suri, Neeraj Tech Univ Darmstadt Darmstadt Germany

ISBN: (纸本)9781479946181

Wireless sensor Networks (WSNs) are deployed in a variety of topologies and configurations depending on specific applications and requirements. In this paper, we study a simple and yet very important class of the WSN topologies, the linear or chain topology in which the sensor Nodes (SNs) are connected in a series and gather the sensed data at a single base station or sink at the end of the chain. WSNs with linear topology have many practical applications, e. g., in infrastructure monitoring and surveillance of civil constructions. there is a large body of research on efficient data gathering techniques to transmit the sensed data over WSNs' limited communication bandwidth. In particular for linear topology, data collection technique has to put a balanced load on all SNs to avoid breakage of the chain at the exhausted nodes. Compressed Sensing (CS) is an efficient data collection technique for WSNs that fulfills these requirements. In a failure-free scenario, CS avoids exhausted nodes by balancing the communication and processing load on the SNs. In this paper, we examine the performance of a special implementation of CS for WSNs, called Compressive Data Gathering (CDG) when a SN in a chain WSN encounters a failure and cannot forward messages to the next hop. We propose a method to enhance the robustness of CDG in such failure scenarios by transmitting the messages to the next healthy node and excluding the failed samples from CS signal recovery mechanism. Evaluations show that our method effectively withstands the failures without sacrificing the accuracy of the collected data.

关键词： Data Collection Methods linear topology Wireless sensor networks civil construction Load balancing WSN gene carbon monosulfide CONTAINMENT SPRAY Cesium Ganglia Messages

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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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