An analysis of a large scale habitat monitoring application

Szewczyk, Robert; Mainwaring, Alan; Polastre, Joseph; Anderson, John; Culler, David

doi:10.1145/1031495.1031521

Cited by 748 publications

(480 citation statements)

References 12 publications

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“…Wireless sensor networks are used in a wide range of applications from large scale terrestrial habitat monitoring [1] to underground [2] and underwater [3] systems because of their ability to measure a multitude of environmental variables with high frequency over long periods of time. Their ability to monitor these locations over long periods of time is significantly advancing science, however, powering these sensor networks remains a challenge despite advances in energy efficient sensor networks and battery technology.…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis of a UAV-Based Wireless Power Transfer Localization System

Mittleider

Griffin

Detweiler

2015

Experimental Robotics

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Abstract. Sensors deployed in remote locations provide unprecedented amounts of data, but powering these sensors over long periods remains a challenge. In this paper, we develop and present a UAV-based wireless power transfer system. We discuss design considerations and present our system that allows a UAV to fly to remote locations to charge hard to access sensors. We analyze the impact of different materials on the wireless power transfer system. Since GPS does not provide sufficient accuracy, we develop and experimentally characterize a relative localization algorithm based on sensing the magnetic field of the power transfer system and optical flow that allows the UAV to localize the sensor with an average error of 15 cm to enable the transfer of on average 4.2 W . These results overcome some of the practical challenges associated with wirelessly charging sensors with a UAV and show that UAVs with wireless power transfer systems can greatly extend the life of remotely deployed sensors.

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Section: Introductionmentioning

confidence: 99%

Experimental Analysis of a UAV-Based Wireless Power Transfer Localization System

Mittleider

Griffin

Detweiler

2015

Experimental Robotics

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“…Mobile sensors can provide improved coverage of pipes and nodes at a lower cost to municipalities. Our research is enabled by recent advances in wireless sensor network technologies and successful deployments of, mostly static, sensor network systems for military applications [9], emergency response [10] and habitat monitoring [11].…”

Section: Introductionmentioning

confidence: 99%

Towards Optimal Event Detection and Localization in Acyclic Flow Networks

Suresh

Stoleru

Denton

et al. 2012

Distributed Computing and Networking

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Abstract. Acyclic flow networks, present in many infrastructures of national importance (e.g., oil & gas and water distribution systems), have been attracting immense research interest. Existing solutions for detecting and locating attacks against these infrastructures, have been proven costly and imprecise, especially when dealing with large scale distribution systems. In this paper, to the best of our knowledge for the first time, we investigate how mobile sensor networks can be used for optimal event detection and localization in acyclic flow networks. Sensor nodes move along the edges of the network and detect events (i.e., attacks) and proximity to beacon nodes with known placement in the network. We formulate the problem of minimizing the cost of monitoring infrastructure (i.e., minimizing the number of sensor and beacon nodes deployed), while ensuring a degree of sensing coverage in a zone of interest and a required accuracy in locating events. We propose algorithms for solving these problems and demonstrate their effectiveness with results obtained from a high fidelity simulator.

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“…Another major problem is due to the spatio-temporal nature of the data generation. In several WSN deployments, including environmental monitoring [1], habitat monitoring [2], and especially surveillance systems [3], [4], it has been observed that the phenomena of interest are local both in time and space. Fixing the location of the basestation ignores the nature of the data generation and results in long multihop paths for relaying, which leads to a lot of collisions and data losses.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, a static backbone tree implies that a message-loss during the handoff of MB from one node on the tree to the next leads to a permanent partitioning. 2 Our contributions. To address the shortcomings of data salmon, we introduce data spider.…”

Section: Introductionmentioning

confidence: 99%

Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks

Soysal¹,

Demirbaş²

2010

Distributed Computing in Sensor Systems

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Abstract-Traditional deployments of wireless sensor networks (WSNs) rely on static basestations to collect data. For applications with highly spatio-temporal and dynamic data generation, such as tracking and detection applications, static basestations suffer from communication bottlenecks and long routes, which cause reliability and lifetime to plummet.To address this problem, we propose a holistic solution where the synergy of the WSN and the mobile basestation improves the reliability and lifetime of data collection. The WSN component of our solution is a very lightweight dynamic routing tree maintenance protocol which tracks the location of the basestation to provide an always connected network. Our basestation algorithm complements the dynamic tree reconfiguration protocol by trailing towards the data generation, and hence, reducing the number of hops data needs to travel to the basestation. While both protocols are very simple and lightweight, combined they lead to significant improvements in the reliability and lifetime of data collection. We provide an analytical discussion of our solution together with detailed discrete event simulations.

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An analysis of a large scale habitat monitoring application

Cited by 748 publications

References 12 publications

Experimental Analysis of a UAV-Based Wireless Power Transfer Localization System

Experimental Analysis of a UAV-Based Wireless Power Transfer Localization System

Towards Optimal Event Detection and Localization in Acyclic Flow Networks

Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks

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