S-NETS: Smart Sensor Networks

Chen, Yu; Henderson, Thomas C.

doi:10.1007/3-540-45118-8_9

Cited by 21 publications

(15 citation statements)

References 7 publications

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“…Algorithms for positioning a mobile sensor network includes even dispersal of sensors from a source point and redeployment for network rebuilding [2,13]. Other important contributions include [1,4,10,15,18].…”

Section: Related Workmentioning

confidence: 99%

Deployment and Connectivity Repair of a Sensor Net with a Flying Robot

Corke

Hrabar

Peterson

et al. 2006

Springer Tracts in Advanced Robotics

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Abstract. We consider multi-robot systems that include sensor nodes and aerial or ground robots networked together. Such networks are suitable for tasks such as large-scale environmental monitoring or for command and control in emergency situations. We present a sensor network deployment method using autonomous aerial vehicles and describe in detail the algorithms used for deployment and for measuring network connectivity and provide experimental data collected from field trials. A particular focus is on determining gaps in connectivity of the deployed network and generating a plan for repair, to complete the connectivity. This project is the result of a collaboration between three robotics labs (CSIRO, USC, and Dartmouth.)

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Section: Related Workmentioning

confidence: 99%

Deployment and Connectivity Repair of a Sensor Net with a Flying Robot

Corke

Hrabar

Peterson

et al. 2006

Springer Tracts in Advanced Robotics

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“…Autonomously generated patterns on a sensor network can be used for routing, clustering, scheduling, and topology control. There are some researches adopting a reaction-diffusion equation to establish an autonomous and self-organizing mechanism [7][8][9]. For example, RDMAC [8] is a reaction-diffusion based MAC protocol, where they noticed the similarity among a scheduling pattern of spatial TDMA and a spot pattern of leopards.…”

Section: Introductionmentioning

confidence: 99%

Experiments and considerations on Reaction-Diffusion based Pattern Generation in a Wireless Sensor Network

Hyodo

Wakamiya

Nakaguchi

et al. 2007

2007 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks

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“…Algorithmic work for positioning a sensor network where sensors have mobility and can self-propel includes even dispersal of sensors from a source point and redeployment for network rebuilding [9], [10]. Other important contributions include [11]- [15].…”

Section: Introductionmentioning

confidence: 99%

Autonomous deployment and repair of a sensor network using an unmanned aerial vehicle

Corke

Hrabar

Peterson

et al. 2004

IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004

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Abstract-We describe a sensor network deployment method using autonomous flying robots. Such networks are suitable for tasks such as large-scale environmental monitoring or for command and control in emergency situations. We describe in detail the algorithms used for deployment and for measuring network connectivity and provide experimental data we collected from field trials. A particular focus is on determining gaps in connectivity of the deployed network and generating a plan for a second, repair, pass to complete the connectivity. This project is the result of a collaboration between three robotics labs (CSIRO, USC, and Dartmouth.) I. INTRODUCTIONWe investigate the role of mobility in sensor networks. Mobility can be used to deploy sensor networks, to maintain and repair connectivity, and to enable applications such as monitoring and surveillance. We examine sensor networks that consist of static and dynamic nodes. The static sensor nodes are "Motes" and the mobile nodes are autonomous helicopters. Integrating static nodes with mobile robots enhances the capabilities of both types of devices and enables new applications. Using networking, the sensors can provide the Unmanned Aerial Vehicle (UAV) with information which is out of the range of the robot. Using mobility, the robot can deploy the network, localize the nodes in the network, maintain connectivity by introducing new nodes as needed, and and act as "data mules" to relay information between disconnected wireless clouds.We combine ad-hoc networking, sensing, and control to deploy and use a sensor network. We use an autonomous helicopter to deploy a sensor network with a controlled topology, for example a star, grid, or random. The helicopter deploys the sensors one at a time at designated locations. Once on the ground, the sensors establish an ad-hoc network and compute their connectivity map in a localized and distributed way.The helicopter is equipped with a sensor node so that it is a mobile component of the sensor network and it can communicate to the ground. This system can handle on-demand node deployment. The connectivity map is used to determine ground locations that require additional nodes (for example to repair connectivity or to increase bandwidth). The helicopter responds by flying to that location and deploying a new

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S-NETS: Smart Sensor Networks

Cited by 21 publications

References 7 publications

Deployment and Connectivity Repair of a Sensor Net with a Flying Robot

Deployment and Connectivity Repair of a Sensor Net with a Flying Robot

Experiments and considerations on Reaction-Diffusion based Pattern Generation in a Wireless Sensor Network

Autonomous deployment and repair of a sensor network using an unmanned aerial vehicle

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