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检索条件"任意字段=First IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2005"

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Efficient Agile Sink Selection in Wireless sensor Networks Based on Compressed Sensing

Efficient Agile Sink Selection in Wireless Sensor Networks B...

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international conference on distributed computing in sensor systems (dcoss)

作者： Mohammadreza Mahmudimanesh Amir Naseri Neeraj Suri Technical University of Darmstadt

Collection of the sensed data in a wireless sensor network at one or more sink (s) is a well studied problem and there are a lot of efficient solutions for a variety of wireless sensor network configurations and application requirements. These methods are often optimized towards collection of the sensed data at a predetermined base station or sink. This inherently reduces the agility of the wireless sensor network as the flow of information is not easily changeable after the establishment of the routing and data collection algorithms. This paper presents an efficient data dissemination method based on the compressed sensing theory that allows each sensor node to take the role of a sink. Agile sink selection is especially advantageous in scenarios where the sink or the end user of the wireless sensor network is mobile. The proposed method allows availing the global state of the environment by fetching a small set of data from any arbitrary node. Our evaluations prove the better performance of our technique over existing methods. Also a comparison with an oracle-based approach gives sufficient experimental evidences of a nearly optimal performance of our method.

关键词： Tin Vectors Wireless sensor networks sensors Protocols Coherence Generators

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Real-Time distributed Visual Feature Extraction from Video in sensor Networks

Real-Time Distributed Visual Feature Extraction from Video i...

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international conference on distributed computing in sensor systems (dcoss)

作者： Emil Eriksson György Dán Viktoria Fodor School of Electrical Engineering KTH Royal Institute of Technology Stockholm Sweden

Enabling visual sensor networks to perform visual analysis tasks in real-time is challenging due to the computational complexity of detecting and extracting visual features. A promising approach to address this challenge is to distribute the detection and the extraction of local features among the sensor nodes, in which case the time to complete the visual analysis of an image is a function of the number of features found and of the distribution of the features in the image. In this paper we formulate the minimization of the time needed to complete the distributed visual analysis for a video sequence subject to a mean average precision requirement as a stochastic optimization problem. We propose a solution based on two composite predictors that reconstruct randomly missing data, and use a quantile-based linear approximation of the feature distribution and time series analysis methods. The composite predictors allow us to compute an approximate optimal solution through linear programming. We use two surveillance videos to evaluate the proposed algorithms, and show that prediction is essential for controlling the completion time. The results show that the last value predictor together with regular quantile-based distribution approximation provide a low complexity solution with very good performance.

关键词： Feature extraction Visualization Vectors Approximation methods Cameras Optimal scheduling

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Aggregation in Smartphone sensor Networks

Aggregation in Smartphone Sensor Networks

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international conference on distributed computing in sensor systems (dcoss)

作者： Nimantha Thushan Baranasuriya Seth Lewis Gilbert Calvin Newport Jayanthi Rao Department of Computer Science National University of Singapore Department of Computer Science Georgetown University Research and Advanced Engineering Ford Motor Company

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 test bed experimentation (using a collection of 11 Samsung Galaxy Nexus smartphones running a Noise Tube-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： Protocols ieee 802.11 Standards Bandwidth Performance evaluation Clustering algorithms Logic gates Aggregates

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Energy Efficient Handover in HetNets Using ieee 802.21

Energy Efficient Handover in HetNets Using IEEE 802.21

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international conference on distributed computing in sensor systems (dcoss)

作者： Gürkan Coskun Ibrahim Hökelek Hakan Ali Çirpan Istanbul Technical University Istanbul

Along with the widespread usage of mobile devices supporting multiple radio interfaces, users can connect to the mobile operator's network using different access technologies such as UMTS, WLAN and WiMAX/LTE. Depending on the network conditions and the QoS requirements of users, the usage of the right technology at the right time can provide more effective networking with higher data rate, lower cost, longer battery duration, and higher coverage area. To enable this networking effectiveness, a seamless handover mechanism to minimize service disruption is required. ieee 802.21, which defines a set of standards for media independent handover, is capable of realizing both horizontal and vertical handovers. In this paper, a new algorithm is proposed to provide energy efficient handovers among UMTS, WiMAX, and WLAN networks. The proposed algorithm is implemented within the ieee 802.21 framework and its performance analysis is performed using the ns-2.29 simulator. Simulation results show that the proposed algorithm significantly increases the service duration and hence decreases packet losses by dynamically changing the video downloading rate according to handover decisions and the remaining battery power levels.

关键词： Handover Batteries Wireless LAN 3G mobile communication WiMAX

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A Neighbour Disjoint Multipath Scheme for Fault Tolerant Wireless sensor Networks

A Neighbour Disjoint Multipath Scheme for Fault Tolerant Wir...

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international conference on distributed computing in sensor systems (dcoss)

作者： A.K.M. Mahtab Hossain Cormac J. Sreenan Szymon Fedor Dept. of Computer Science University College Cork Ireland United Technologies Research Center (UTRC) Ireland Ltd.

In this paper, we propose a "Neighbour Disjoint Multipath (NDM)" scheme that increases resilience against node or link failures in a wireless sensor network (WSN). Our algorithm chooses the shortest path between a sensor and the sink as the primary path, thus ensuring the algorithm is energy efficient under normal circumstances. In selecting the backup paths, we utilise the disjoint property to ensure that i) when there are k paths between source and sink, no set of k node failures can result in total communication break between them, and ii) by having (k-1) spatially separated backup paths w.r.t. the primary path, the probability of simultaneous failure of the primary and backup paths is reduced in case of localised poor channel quality or node failures. Our algorithm not only ensures the node disjointedness characteristics of the constructed paths, but also tries to minimise the impact of co-located node or link failures where a localised portion of the network may be unusable. We analyse the motivation behind our idea clearly, and discuss the algorithm in detail. We also compare the NDM scheme with other common multipath techniques such as node-disjoint and edge-disjoint approaches, and point out its effectiveness through simulation.

关键词： Resilience Correlation Wireless sensor networks Measurement Algorithm design and analysis Silicon Network topology

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Low-Power Listening Goes Multi-channel

Low-Power Listening Goes Multi-channel

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international conference on distributed computing in sensor systems (dcoss)

作者： Beshr Al Nahas Simon Duquennoy Venkatraman Iyer Thiemo Voigt SICS Swedish ICT AB Sweden Uppsala University Sweden

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 Contiki MAC drops in the 40% range). In noiseless environments, MiCMAC keeps the overhead low in comparison to Contiki MAC, 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： Receivers Protocols Interference ieee 802.15 Standards Wireless sensor networks Unicast Data collection

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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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international conference on distributed computing in sensor systems (dcoss)

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

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 test beds 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： Robot sensing systems Wireless sensor networks Hardware Robot kinematics Wireless communication Software

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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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international conference on distributed computing in sensor systems (dcoss)

作者： Orod Raeesi Juho Pirskanen Ali Hazmi Jukka Talvitie Mikko Valkama Tampere University of Technology Tampere Finland

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 ieee802.11ah, 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 office 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 802.11 Standards Throughput OFDM Indexes ieee 802.15 Standards Performance evaluation

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Trajectory Approximation for Resource Constrained Mobile sensor Networks

Trajectory Approximation for Resource Constrained Mobile Sen...

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international conference on distributed computing in sensor systems (dcoss)

作者： Ghulam Murtaza Salil S. Kanhere Aleksandar Ignjatovic Raja Jurdak Sanjay Jha School of Computer Science and Engineering The University of New South Wales Sydney NSW Australia Autonomous Systems Lab CSIRO Brisbane QLD Australia

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 n

关键词： Global Positioning System Approximation methods Trajectory Encoding Animals Approximation algorithms Context

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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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international conference on distributed computing in sensor systems (dcoss)

作者： Mikhail Afanasov Luca Mottola Carlo Ghezzi Politecnico di Milano Italy Politecnico di Milano SICS Swedish ICT Italy

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 ~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 Wireless sensor networks Software Global Positioning System Programming Wildlife Batteries

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