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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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Chemistry-Inspired Algorithm for Emergent distributed Consensus in WSNs

Chemistry-Inspired Algorithm for Emergent Distributed Consen...

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

作者： Monti, Massimo Tschudin, Christian F. Sanguinetti, Luca Luise, Marco Univ Basel Dept Math & Comp Sci Basel Switzerland

ISBN: (纸本)9780769550411

In wireless sensor and actor networks (WSANs), nodes collaborate to accomplish distributed sensing and computation. One of the most attractive features is that global macro-behaviors in the network emerge from local micro-actions in and interactions between nodes. In this paper, we review a recently proposed approach, which bases on a chemical metaphor and its related theory, to design, analyze, and implement systems with such an emerging property. As an example of distributed, emerging computation in WSNs, we extend an existing gossip-like chemistry-inspired protocol (the "Disperser") and propose a new chemically driven solution to consensus problems that is applicable in WSNs. We analyze it with a signal processing approach and validate results through simulations. the proposed chemical algorithm is not based on the iterative packet-exchange but rather on a continuous rate-modulation. the algorithm is thought to lie at the physical layer and to directly control the basic transmission hardware of the nodes in a sort of protocol-less operation mode.

关键词： Broadcast Chemistry-Inspired Algorithms distributed Consensus Emergent Behavior Gossip Self-organization

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RATFAT: ReAl-Time FAT for Cooperative Multitasking Environments in WSNs

RATFAT: ReAl-Time FAT for Cooperative Multitasking Environme...

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

作者： Schildt, Sebastian Poettner, Wolf-Bastian Buesching, Felix Wolf, Lars Tech Univ Carolo Wilhelmina Braunschweig Inst Operating Syst & Comp Networks D-38106 Braunschweig Germany

ISBN: (纸本)9780769550411

Today, many sensor nodes are equipped with a microSD slot to provide a cost effective way to store large amounts of data. When using the FAT file system, data collected by a node can be easily read by a PC without the need for any special software or communication protocol. While several FAT implementations for microcontrollers do exist, they are not suited for real-time applications. For a WSN in an industrial scenario where a node needs to run a closed loop control program, logging to a non-real-time capable persistent storage system is not an option. In this paper we present RATFAT, an efficient implementation of a flexible real-time capable FAT file system for Contiki, that can be used for applications requiring real-time guarantees.

关键词： real-time systems storage allocation wireless sensor networks

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Wireless Model Based Predictive Networked Control System over ieee 802.15.4

Wireless Model Based Predictive Networked Control System ove...

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

作者： Ulusoy, Alphan Onat, Ahmet Gurbuz, Ozgur Boston Univ Div Syst Engn Boston MA 02215 USA

ISBN: (纸本)9780769550411

Networked control systems offer significant advantages in terms of reliability, commissioning and maintenance, especially for complex systems. they must be able to withstand delays and data corruption caused by the underlying communication network. Existing results in networked control systems provide varying degrees of robustness. However, cost is also an important factor for real world implementations, which further restricts the bandwidth of the underlying network and complexity of the communication protocol. In this paper we introduce a networked control system method, WMBPNCS, that we have previously proposed, and implement a control system using ieee 802.15.4 (ZigBee) as its communication protocol, in an attempt to overcome these problems. We find through simulations that performance of our implementation is acceptable even under large amounts of random network delay and data loss.

关键词： Zigbee computer network reliability delays large-scale systems networked control systems predictive control protocols telecommunication control

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Imaging Seismic Tomography in sensor Network

Imaging Seismic Tomography in Sensor Network

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

作者： Shi, Lei Song, Wen-Zhan Xu, Mingsen Xiao, Qingjun Kamath, Goutham Lees, Jonathan M. Xing, Guoliang Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA

ISBN: (纸本)9780769550411

Tomography imaging, applied to seismology, requires a new, decentralized approach if high resolution calculations are to be performed in a sensor network configuration. the real-time data retrieval from a network of large-amount wireless seismic nodes to a central server is virtually impossible due to the sheer data amount and resource limitations. In this paper, we present a distributed multi-resolution evolving tomography algorithm for processing data and inverting volcano tomography in the network, while avoiding costly data collections and centralized computations. the new algorithm distributes the computational burden to sensor nodes and performs real-time tomography inversion under the constraints of network resources. We implemented and evaluated the system design in the CORE emulator. the experiment results validate that our proposed algorithm not only balances the computation load, but also achieves low communication cost and high data loss-tolerance.

关键词： distributed computing In-network Processing Seismic Tomography sensor Network

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Decentralized Bayesian Estimation with Quantized Observations: theoretical Performance Bounds

Decentralized Bayesian Estimation with Quantized Observation...

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

作者： Mohammadi, Arash Asif, Amir Zhong, Xionghu Premkumar, A. B. York Univ Toronto ON M3J 1P3 Canada

ISBN: (纸本)9780769550411

the posterior Cramer Rao lower bound (PCRLB) has recently been proposed as an effective selection criteria for sensor resource management in large, geographically distributed sensor networks. Existing algorithms (in particular the decentralized approaches with no central fusion centre) designed for computing the PCRLB are based on raw observations resulting in significant communication overhead from the sensor nodes to the associated local processing nodes. the paper derives distributive computational techniques for determining the PCRLB for quantized sensor networks configured using decentralized architectures. We refer to the distributed computation of the PCRLB as dPCRLB. the main contribution of the paper is extending the dPCRLB algorithm [1] to quantized observations that leads to significant savings in the communication overhead over its counterparts that use raw observations. In our Monte Carlo simulations, we show that the proposed dPCRLB closely follows the centralized bound based on quantized observations. As expected, there is potential performance loss with quantization as is illustrated by the difference between the dPCRLBs computed using raw and quantized observations. the drop in the estimator's performance is, however, compensated for with an increase in the number of quantization levels associated with the observation quantizer.

关键词： Data fusion Decentralized estimation Multi-sensor tracking sensor networks

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Context-Aware Community: Integrating Contexts with Contacts for Proximity-Based Mobile Social Networking

Context-Aware Community: Integrating Contexts with Contacts ...

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

作者： Yu, Na Han, Qi Colorado Sch Mines Dept Elect Engn & Comp Sci Golden CO 80401 USA

ISBN: (纸本)9780769550411

sensor-equipped mobile devices have allowed users to participate in various social networking services while they are on the go. We focus on proximity-based mobile social networking environments where users share information obtained from different places via their mobile devices when they are in proximity. Since people are more likely to share information if they can benefit from the sharing or if they think the information is of interest to others, there might exist community structures where users who share information more often are grouped together. Communities in proximity-based mobile social networks represent social groups where connections are built when people are in proximity. We consider information influence (i.e., specify who shares information with whom) as the connection, and the space and time related to the shared information as the social contexts. To model the potential information influences, we construct an influence graph by integrating the social contexts into the contacts of mobile users. Further, we propose a two-phase strategy to detect and track context-aware communities based on the influence graph and show how the context-aware community structure improves the performance of two types of mobile social applications.

关键词： mobile computing mobile handsets social networking (online) wireless sensor networks

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Low-Power Self-Energy Meter for Wireless sensor Network

Low-Power Self-Energy Meter for Wireless Sensor Network

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

作者： Fernandez, Carlos Bouvier, Diego Villaverde, Jorge Steinfeld, Leonardo Oreggioni, Julian Fac Ingn UdelaR Inst Ingn Elect Montevideo Uruguay

ISBN: (纸本)9780769550411

Real-time measurement of the energy consumption of wireless sensor network nodes in the field has many interesting applications that range from predicting the remaining battery charge to the energy efficiency assessment of communication protocols. However, designing such a system presents many challenges. In this work we present a measurement method and circuit, named Self-Energy Meter (SEM), that easily adds to a sensor node the capability of measuring its own energy consumption. the SEM developed has very low power consumption, ensuring an almost negligible impact in the battery lifetime. It also solves the problem of handling a dynamic range of five decades. Results from simulations show that the SEM is highly linear, with a coefficient of determination of 0.996, presenting a very low temperature drift, and is almost independent of the power supply.

关键词： energy conservation energy consumption protocols wireless sensor networks

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Cluster Communication Synchronization in Delay-Sensitive Wireless sensor Networks

Cluster Communication Synchronization in Delay-Sensitive Wir...

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

作者： Deng, Xi Yang, Yuanyuan SUNY Stony Brook Dept Elect & Comp Engn Stony Brook NY 11794 USA

ISBN: (纸本)9780769550411

Clustering has been widely used in wireless sensor networks to increase scalability, improve energy efficiency and provide QoS guarantees. In such networks, frequent interactions between the intra-cluster communication and the inter-cluster communication are inevitable, which may severely downgrade the communication efficiency and hence the network performance if not handled properly. this is especially problematic in delay-sensitive data gathering applications. thus, proper synchronization among these two types of communications is required. In this paper, we propose two approaches to schedule the communications in clustered wireless sensor networks aiming at delay-sensitive applications. In the first approach, an efficient cycle-based synchronous scheduling is proposed to achieve low average packet delay and high throughput by optimizing the cycle length and transmission order. In the second approach, a novel clustering structure is introduced to eliminate the necessity of communication synchronization so that packets are transmitted with no synchronization delay, yielding very low end-to-end packet delay. Our extensive experimental results demonstrate the superior performance of both approaches. the distinct behavior of two scheduling approaches enables them to support a wide range of data gathering applications with different performance requirements in clustered wireless sensor networks.

关键词： Clustering wireless sensor networks communication synchronization delay-sensitive data gathering

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SR3: Secure Resilient Reputation-based Routing

SR3: Secure Resilient Reputation-based Routing

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

作者： Altisen, Karine Devismes, Stephane Jamet, Raphael Lafourcade, Pascal Univ Grenoble VERIMAG UMR 5104 Grenoble France

ISBN: (纸本)9780769550411

We propose SR3, a secure and resilient algorithm for convergecast routing in WSNs. SR3 uses lightweight cryptographic primitives to achieve data confidentiality and data packet unforgeability. SR3 has a security proven by formal tool. We made simulations to show the resiliency of SR3 against various scenarios, where we mixed selective forwarding, blackhole, wormhole, and Sybil attacks. We compared our solution to several routing algorithms of the literature. Our results show that the resiliency accomplished by SR3 is drastically better than the one achieved by those protocols, especially when the network is sparse. Moreover, unlike previous solutions, SR3 self-adapts after compromised nodes suddenly change their behavior.

关键词： Wireless sensor networks routing security resiliency

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Node Sequence Discovery in Wireless sensor Networks

Node Sequence Discovery in Wireless Sensor Networks

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

作者： Ergin, M. Onur Handziski, Vlado Wolisz, Adam Tech Univ Berlin Telecommun Networks Grp Berlin Germany

ISBN: (纸本)9780769550411

In many application areas for wireless sensor networks, having some location knowledge about the sensor nodes is important, but this information is often not readily available. In the past, plethora of different solutions have been proposed that focused on recovering the locations of the sensor nodes, often at the cost of high complexity or limited accuracy. We claim that, in many scenarios the precise location in the x, y, z coordinates is not really needed. Frequently, due to the scenario of usage, the set of potential locations of the nodes is limited, and assigning the nodes to proper potential position is sufficient. In this study, we consider a single dimensional case and we introduce a novel methodology to detect the geographic sequence of wireless sensor nodes indoors, using only a limited number of message exchanges among the involved nodes and statistical reasoning applied to the set of received signal strength measurements. the proposed approach is verified experimentally in heavy non-line-of-sight settings with high shadowing and multipath distortions.

关键词： multipath channels signal processing statistical analysis wireless sensor networks

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