Instrumenting the world with wireless sensor networks

Estrin, Deborah; Girod, Lewis; Pottie, Gregory J.; Srivastava, Mani

doi:10.1109/icassp.2001.940390

Cited by 870 publications

(423 citation statements)

References 8 publications

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“…However, this assumption may not be true in many practical cases of the wireless sensor network's applications, as the consumed power of the sensing activities can be comparable or greater than that of radio [2]. Therefore, energy management in sensor level needs to consider to the amount of energy, which is consumed in all of the stages acquisition, process and transmission of data [7].…”

Section: Energy Management In Data Acquisition and Transmissionmentioning

confidence: 99%

A Hybrid Energy-Efficient routing protocol for Wireless Sensor Networks

Farazandeh¹,

Abrishambaf

Uysal³

et al. 2013

2013 11th IEEE International Conference on Industrial Informatics (INDIN)

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Deployment of wireless sensor networks is rapidly increasing in many different monitoring and control applications. Design and implementation of wireless sensor networks, requires diverse knowledge from several different disciplines. Therefore, this is a new interdisciplinary technology, which has been discussed widely in the literatures.Sensor nodes of the WSNs are powered by limited resources, which are mostly the batteries with constrained energy. Design of an energy efficient routing protocol contributes to increasing the network lifetime. In this thesis, based on energy analysis of the routing protocols, a new method of data transmission is proposed. However, design and applying a routing protocol in WSNs is very application specific and can be changed for different parameters of the environment.The new proposed method is applicable for different network sizes, while the energy efficiency of the protocol is the main characteristics of the design. Moreover, some other important parameters, which affect the efficiency of the transmission, such as number of nodes and massage length, are considered during the simulations. Geliştirilen yeni yöntemde protokolun enerji verimliliği tasarım sürecinin asıl karakteristiğini oluştururken bu yöntem çeşitli ağ boyutları için uygulanabilmektedir.Bunun dışında düğüm sayıları ve mesaj uzunluğu gibi aktarma süreci üzerinde etkili olan başka parametreler de simülasyon sürecinde dikkate alınmıştır.

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Section: Energy Management In Data Acquisition and Transmissionmentioning

confidence: 99%

A Hybrid Energy-Efficient routing protocol for Wireless Sensor Networks

Farazandeh¹,

Abrishambaf

Uysal³

et al. 2013

2013 11th IEEE International Conference on Industrial Informatics (INDIN)

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“…Consensus or distributed averaging algorithms have been the subject of an inordinate amount of attention in the past decade, as they arise in applications such as distributed sensing, clock synchronisation, flocking, or fusion of Kalman filter data; see for instance [2,4,9,10]. Since the rate at which these algorithms converge strongly depends on structural properties of the network of nodes they are run on, it is an interesting problem to try to somehow regulate the topology of the graph in order to ultimately control the speed at which consensus will be achieved.…”

Section: Distributed Averaging and Topology Controlmentioning

confidence: 99%

A Problem in Positive Systems Stability Arising in Topology Control

et al. 2009

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We present a problem in the stability of switched positive systems that arises in network topology control. Preliminary results are given that guarantee stability of a network topology control problem under certain assumptions. Roughly speaking, these assumptions reduce the underlying stability problem to a nonlinear consensus problem with a driving term, that eventually becomes a Lur'e problem. Simulation results are given to illustrate our algorithm. While these results indicate that our assumptions can be removed, a proof of the general stability problem remains open. IntroductionRecent years have witnessed a growing interest in the control community in problems that arise when dynamic systems evolve over graphs. While the most high profile of these applications are in consensus applications such as formation flying and synchronisation problems, [4,8,11], many other applications have arisen where the manner in which network topologies change affect the performance of algorithms that are run over these networks. In such applications, an essential requirement is that the topology of the graph be such that some properties required to support communication and control are satisfied, the most basic of these being that the network is connected. Considerations of this kind have given rise to the emerging field of network topology control. Clearly, graph connectivity is an essential component in

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“…This task is often addressed via the use of beamformers (BFs), algorithms that exploit the spatial correlation of recordings to favour particular source locations over others [19]. While such systems are traditionally comprised of physically connected arrays of microphones, recent improvements in sensor and battery technologies have made it practical to use wireless sensor networks (WSNs) for the same application [5]. However, the decentralised nature of data acquisition in WSNs makes designing statistically optimal BFs a challenging procedure.…”

Section: Introductionmentioning

confidence: 99%

Room geometry estimation from acoustic echoes using graph-based echo labeling

Jager

Heusdens

Gaubitch

2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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In this paper we propose a distributed reformulation of the linearly constrained minimum variance (LCMV) beamformer for use in acoustic wireless sensor networks. The proposed distributed minimum variance (DMV) algorithm, for which we demonstrate implementations for both cyclic and acyclic networks, allows the optimal beamformer output to be computed at each node without the need for sharing raw data within the network. By exploiting the low rank structure of estimated covariance matrices in time-varying noise fields, the algorithm can also provide a reduction in the total amount of data transmitted during computation when compared to centralised solutions. This is particularly true when multiple microphones are used per node. We also compare the performance of DMV with state of the art distributed beamformers and demonstrate that it achieves greater improvements in SNR in dynamic noise fields with similar transmission costs.

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Instrumenting the world with wireless sensor networks

Cited by 870 publications

References 8 publications

A Hybrid Energy-Efficient routing protocol for Wireless Sensor Networks

A Hybrid Energy-Efficient routing protocol for Wireless Sensor Networks

A Problem in Positive Systems Stability Arising in Topology Control

Room geometry estimation from acoustic echoes using graph-based echo labeling

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