Habitat monitoring

Cerpa, Alberto E.; Elson, Jeremy; Estrin, Deborah; Girod, Lewis; Hamilton, Michael; Zhao, Jerry

doi:10.1145/371626.371720

Cited by 602 publications

(8 citation statements)

References 14 publications

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“…This is simpler than using the concept of polarization energy, but would require a similar level of notification broadcasts of device positions. The following graphs refer to 4 sets of 20 simulations, where each set has a different forwarding cost constant t cos bat , which is used to mutliply the inter-device distance, so can be thought of as decreasing device density, or increasing the cost of transmissions by 2 …”

Section: Simulation Resultsmentioning

confidence: 99%

“…Here the sensor nodes are static, and their major problem is how to conserve power between the occurrence of interesting events, and then how to use the node battery resources fairly. For example, work by Cerpa et al [2] refers to habitat monitoring as a driver for wireless communications technology, and focuses on power-saving by nodes outside regions where interesting changes could be observed, switching themselves off, and being triggered to switch back on only when interesting activity is detected in their vicinity. Work by Xu et al [3] again focuses on using powereddown modes for devices to conserve power, based on whether data traffic is predicted or not, and on the number of equivalent nodes nearby that could be used for alternate routing paths.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Mechanism for Routing in Highly Mobile ad hoc Sensor Networks

Tateson

Marshall

2004

Lecture Notes in Computer Science

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Abstract. This paper describes a novel routing mechanism for a network of highly mobile sensor nodes that routes data over dynamically changing topologies, using only information from nearest neighbours. The preferred forwarding directions of mobile sensor nodes are modelled as vectors, and a scalar trigger is used to determine data forwarding. Simulations have demonstrated that this technique operates successfully in sparse networks, where node movements are unpredictable, and data generation by nodes is nonuniform. The application scenario is a self-configuring network of mobile nodes, floating in the sea, that is tracking the movements of a shoal of fish. The requirements of the technique in terms of memory are minimal, with very few parameters and very little code being needed, as is appropriate for the lowpowered microprocessors envisaged.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Mechanism for Routing in Highly Mobile ad hoc Sensor Networks

Tateson

Marshall

2004

Lecture Notes in Computer Science

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“…The past decade has witnessed a large reduction in the cost and power consumption of wireless electronics; leveraging these advances, wireless sensor networks (WSNs) have opened up new frontiers in environmental monitoring, with applications ranging from biodiversity monitoring [26], forest fire detection [27], [28], precision agriculture [29], glacier research [30], and structural health monitoring [4]. Unlike SCADA systems, WSNs are ideal for low-cost, low-power, and low-maintenance applications, making them well-suited for the monitoring of large water systems like rivers and watersheds.…”

Section: B Wireless Sensor Networkmentioning

confidence: 99%

Open storm: a complete framework for sensing and control of urban watersheds

Bartos

Wong

Kerkez

2018

Environ. Sci.: Water Res. Technol.

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Abstract-Leveraging recent advances in technologies surrounding the Internet of Things, "smart" water systems are poised to transform water resources management by enabling ubiquitous real-time sensing and control. Recent applications have demonstrated the potential to improve flood forecasting, enhance rainwater harvesting, and prevent combined sewer overflows. However, adoption of smart water systems has been hindered by a limited number of proven case studies, along with a lack of guidance on how smart water systems should be built. To this end, we review existing solutions, and introduce open storman open-source, end-to-end platform for real-time monitoring and control of watersheds. Open storm includes (i) a robust hardware stack for distributed sensing and control in harsh environments (ii) a cloud services platform that enables system-level supervision and coordination of water assets, and (iii) a comprehensive, web-based "how-to" guide, available on open-storm.org, that empowers newcomers to develop and deploy their own smart water networks. We illustrate the capabilities of the open storm platform through two ongoing deployments: (i) a high-resolution flash-flood monitoring network that detects and communicates flood hazards at the level of individual roadways and (ii) a real-time stormwater control network that actively modulates discharges from stormwater facilities to improve water quality and reduce stream erosion. Through these case studies, we demonstrate the real-world potential for smart water systems to enable sustainable management of water resources.

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“…One or multiple mobile sinks move throughout the WSN to gather data coming from all nodes. There is a lot of research on the moving strategy of mobile sinks [1], [2], [3], [4] . Almost all of them use the routing based on the physical locations of nodes for data transmission .…”

Section: Introductionmentioning

confidence: 99%

Geographic Routing Using Logical Levels in Wireless Sensor Networks for Sensor Mobility

Sabri¹,

Kamoun²

2015

ijacsa

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Abstract-In this paper we propose an improvement to the GRPW algorithm for wireless sensor networks called GRPW-M , which collects data in a wireless sensor network (WSN) using a mobile nodes. Performance of GRPW algorithm algorithm depends heavily on the immobile sensor nodes . This prediction can be hard to do. For that reason, we propose a modified algorithm that is able to adapt to the current situation in the network in which the sensor node considered mobile. The goal of the proposed algorithm is to decrease the reconstruction cost and increase the data delivery ratio. In comparing the GRPW-M protocol with GRPW protocol in simulation, this paper demonstrates that adjustment process executed by GRPW-M does in fact decrease the reconstruction cost and increase the data delivery ratio . Simulations were performed on GRPW as well as on the proposed Routing algorithm. The efficiency factors that were evaluated was total number of transmissions in the network and total delivery rate. And in general the proposed Routing algorithm may perform reasonable well for a large number network setups.

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Habitat monitoring

Cited by 602 publications

References 14 publications

A Novel Mechanism for Routing in Highly Mobile ad hoc Sensor Networks

A Novel Mechanism for Routing in Highly Mobile ad hoc Sensor Networks

Open storm: a complete framework for sensing and control of urban watersheds

Geographic Routing Using Logical Levels in Wireless Sensor Networks for Sensor Mobility

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