Smart sensor snow

Henderson, Thomas C.; Dekhil, Mohamed; Morris, Stephen; Chen, Y.; Thompson, William B.

doi:10.1109/iros.1998.724780

Cited by 17 publications

(9 citation statements)

References 7 publications

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“…Other methods have been proposed like the Türing morphogenesis (cf. Henderson et al (2004) et Henderson et al (1998)), the aim of which being to constraint the shape of the clusters (cf. 1.3).…”

Section: Overview Of the State Of The Art On Cluster Construction Andmentioning

confidence: 99%

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On Clustering in Sensor Networks

Marot¹

2010

Sustainable Wireless Sensor Networks

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Section: Overview Of the State Of The Art On Cluster Construction Andmentioning

confidence: 99%

“…An original idea has been proposed by T.C. Henderson and his colleagues in Henderson et al (2004) and Henderson et al (1998). It consists in using the Türing's morphogenesis process to give to a very dense network a certain configuration.…”

Section: Variations In Leach or Pegasis Modesmentioning

confidence: 99%

On Clustering in Sensor Networks

Marot¹

2010

Sustainable Wireless Sensor Networks

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“…Henderson suggests using Turing's reaction-diffusion equations [24] for forming patterns in sensor networks [11]. These approaches are promising and indicative of the future potential of emergent algorithms.…”

Section: Related Workmentioning

confidence: 99%

ACE: An Emergent Algorithm for Highly Uniform Cluster Formation

Chan

Perrig

2004

Lecture Notes in Computer Science

274

194

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Abstract. The efficient subdivision of a sensor network into uniform, mostly non-overlapping clusters of physically close nodes is an important building block in the design of efficient upper layer network functions such as routing, broadcast, data aggregation, and query processing. We present ACE, an algorithm that results in highly uniform cluster formation that can achieve a packing efficiency close to hexagonal close-packing. By using the self-organizing properties of three rounds of feedback between nodes, the algorithm induces the emergent formation of clusters that are an efficient cover of the network, with significantly less overlap than the clusters formed by existing algorithms. The algorithm is scale-independent -it completes in time proportional to the deployment density of the nodes regardless of the overall number of nodes in the network. ACE requires no knowledge of geographic location and requires only a small constant amount of communications overhead.

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“…al. [7] studied the sensors and proposed deployment and exploitation of large number of sensors to obtain a trigger action over a large geographic area. They discussed several issues in their work including sensor distribution pattern and local sensor frames.…”

Section: Related Workmentioning

confidence: 99%

Smartening the environment using wireless sensor networks in a developing country

Pathan

Hong

Lee

2006

2006 8th International Conference Advanced Communication Technology

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 The miniaturization process of various sensing devices has become a reality by enormous research and advancements accomplished in Micro Electro-Mechanical Systems (MEMS) and Very Large Scale Integration (VLSI) lithography. Regardless of such extensive efforts in optimizing the hardware, algorithm, and protocols for networking, there still remains a lot of scope to explore how these innovations can all be tied together to design Wireless Sensor Networks (WSN) for smartening the surrounding environment for some practical purposes. In this paper we explore the prospects of wireless sensor networks and propose a design level framework for developing a smart environment using WSNs, which could be beneficial for a developing country like Bangladesh. In connection to this, we also discuss the major aspects of wireless sensor networks.

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Smart sensor snow

Cited by 17 publications

References 7 publications

On Clustering in Sensor Networks

On Clustering in Sensor Networks

ACE: An Emergent Algorithm for Highly Uniform Cluster Formation

Smartening the environment using wireless sensor networks in a developing country

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