Sensor Web for in situ exploration of gaseous biosignatures

Delin, K. A.; Jackson, Shannon P.

doi:10.1109/aero.2000.879314

Cited by 51 publications

(26 citation statements)

References 6 publications

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“…Wireless sensor nets were suggested for applications ranging from disaster recovery and surveillance [13] to the exploration of Mars [10]. In many cases, thousands of nodes are expected to interconnect while deployed in a hostile inaccessible environment.…”

Section: Introductionmentioning

confidence: 99%

Geometrically aware communication in random wireless networks

Kozma

Lotker

Sharir

et al. 2004

Proceedings of the Twenty-Third Annual ACM Symposium on Principles of Distributed Computing

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Some of the first routing algorithms for geographically aware wireless networks used the Delaunay triangulation among the network's nodes as the underlying connectivity graph [4]. These solutions were considered impractical, however, because in general the Delaunay triangulation may contain arbitrarily long edges, and because calculating the Delaunay triangulation generally requires a global view of the network. Many other algorithms were then suggested for geometric routing, often assuming random placement of network nodes for analysis or simulation [30,5,31,16]. We show that, when the nodes are uniformly placed in the unit disk, the Delaunay triangulation does not contain long edges, it is easy to compute locally and it is in many ways optimal for geometric routing and flooding.In particular, we prove that, with high probability, the * Work by M.S. has been supported by a grant from the U.S.-Israeli Binational Science Foundation, by a grant from the Israel Science Fund (for a Center of Excellence in Geometric Computing), by NSF Grants CCR-97-32101, CCR-00-98246, and by the Hermann Minkowski-MINERVA Center for Geometry at Tel Aviv University.Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. maximal length of an edge in Del(P ), the Delaunay triangulation of a set P of n nodes uniformly placed in the unit disk, is O( 3 log n n ), and that the expected sum of squares of all the edges in Del(P ) is O(1). These geometric results imply that for wireless networks, randomly distributed in a unit disk (1) computing the Delaunay triangulation locally is asymptotically easy; (2) simple "face routing" through the Delaunay triangulation optimizes, up to poly-logarithmic factors, the energy load on the nodes, and (3) flooding the network, an operation quite common in sensor nets, is with high probability optimal up to a constant factor. The last property is particularly important for geocasting [20] because the Delaunay triangulation is known to be a spanner [12].

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Section: Introductionmentioning

confidence: 99%

Geometrically aware communication in random wireless networks

Kozma

Lotker

Sharir

et al. 2004

Proceedings of the Twenty-Third Annual ACM Symposium on Principles of Distributed Computing

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“…While considerable effort has recently been focused on development of networked sensors for operation in air [1][2][3][4][5][6][7][8][9], sensor network technology has not been developed for application to liquid Figure 1. An illustrative drawing of the aqueous sensor network.…”

Section: Introductionmentioning

confidence: 99%

Design of a Wireless Sensor Network for Long-term, In-Situ Monitoring of an Aqueous Environment

Yang

Ong

Dreschel

et al. 2002

Sensors

136

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An aqueous sensor network is described consisting of an array of sensor nodes that can be randomly distributed throughout a lake or drinking water reservoir. The data of an individual node is transmitted to the host node via acoustic waves using intermediate nodes as relays. Each node of the sensor network is a data router, and contains sensors capable of measuring environmental parameters of interest. Depending upon the required application, each sensor node can be equipped with different types of physical, biological or chemical sensors, allowing long-term, wide area, in situ multi-parameter monitoring. In this work the aqueous sensor network is described, with application to pH measurement using magnetoelastic sensors. Beyond ensuring drinking water safety, possible applications for the aqueous sensor network include advanced industrial process control, monitoring of aquatic biological communities, and monitoring of waste-stream effluents.

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“…The total pod mass is about 50 g. Over a duty cycle of one set of measurements per second, it is estimated that 50 microwatts of power are needed. Further details of this pod may be found elsewhere [4]. At the time, the total cost of parts was less than $50 demonstrating the tremendous power of leveraging commercially available parts.…”

Section: In Situ Sensor Websmentioning

confidence: 99%

The Sensor Web: A Macro-Instrument for Coordinated Sensing

Delin

2002

Sensors

107

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Abstract:The Sensor Web is a macro-instrument concept that allows for the spatiotemporal understanding of an environment through coordinated efforts between multiple numbers and types of sensing platforms, including both orbital and terrestrial and both fixed and mobile. Each of these platforms, or pods, communicates within their local neighborhood and thus distributes information to the instrument as a whole. Much as intelligence in the brain is a result of the myriad of connections between dendrites, it is anticipated that the Sensor Web will develop a macro-intelligence as a result of its distributed information with the pods reacting and adapting to their environment in a way that is much more than their individual sum. The sharing of data among individual pods will allow for a global perception and purpose of the instrument as a whole. The Sensor Web is to sensors what the Internet is to computers, with different platforms and operating systems communicating via a set of shared, robust protocols. This paper will outline the potential of the Sensor Web concept and describe the Jet Propulsion Laboratory (JPL) Sensor Webs Project (http://sensorwebs.jpl.nasa.gov/). In particular, various fielded Sensor Webs will be discussed.

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Sensor Web for in situ exploration of gaseous biosignatures

Cited by 51 publications

References 6 publications

Geometrically aware communication in random wireless networks

Geometrically aware communication in random wireless networks

Design of a Wireless Sensor Network for Long-term, In-Situ Monitoring of an Aqueous Environment

The Sensor Web: A Macro-Instrument for Coordinated Sensing

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