Reading a Wave Buoy

2019 ◽  
Vol 44 (5) ◽  
pp. 737-761 ◽  
Author(s):  
Stefan Helmreich
Keyword(s):  
Sensor Networks ◽  
The Netherlands ◽  
Multinational Corporations ◽  
Media Ecology ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Sensing Technology ◽  
Italian Author ◽  
Legal Frameworks

The ocean’s properties and processes are now mostly known through distributed sensor networks. Among the most widespread of such networks are those that connect wave-measuring buoys. Buoys have been deployed and consulted by national meteorological organizations, state militaries, multinational corporations, and citizens. This paper zeroes in on the Directional Waverider, the most widely used buoy, manufactured since 1961 in the Netherlands by Datawell. I am interested in this buoy’s material qualities and networks of use, its life within legal frameworks, and its media ecology. Staging my account against the metaphysical Italian author Italo Calvino’s “Reading a Wave,” I explore what it means to “read” a sensing technology.

scholarly journals Clique Size in Sensor Networks with Key Pre-Distribution Based on Transversal Design

2005 ◽  
Vol 1 (3-4) ◽  
pp. 345-354 ◽  
Author(s):  
Dibyendu Chakrabarti ◽  
Subhamoy Maitra ◽  
Bimal Roy
Keyword(s):  
Sensor Networks ◽  
Distributed Computing ◽  
Secure Communication ◽  
Sensor Nodes ◽  
Transversal Design ◽  
Secret Key ◽  
Distributed Sensor Networks ◽  
Distributed Sensor

Key pre-distribution is an important area of research in Distributed Sensor Networks (DSN). Two sensor nodes are considered connected for secure communication if they share one or more common secret key(s). It is important to analyse the largest subset of nodes in a DSN where each node is connected to every other node in that subset (i.e., the largest clique). This parameter (largest clique size) is important in terms of resiliency and capability towards efficient distributed computing in a DSN. In this paper, we concentrate on the schemes where the key pre-distribution strategies are based on transversal design and study the largest clique sizes. We show that merging of blocks to construct a node provides larger clique sizes than considering a block itself as a node in a transversal design.

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