DISAGREE: disagreement-based querying in wireless sensor networks

Montes-de-Oca, Martha; Gómez, Javier; Lopez‐Guerrero, Miguel

doi:10.1007/s11235-013-9852-5

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…As for the analytical modeling of storage schemes and query strategies to increase the lifetime of the network and decrease time delays with respect to data access, there are two interesting categories studied: tree-based and grid-based protocols. The tree-based protocols include the method shown by Saxena of [ 27 ], as well as SDS [ 25 ], Scoop [ 28 ], DISAGREE [ 29 ], and so on. Grid-based protocols include the schemes shown by the authors of [ 14 ], [ 30 , 31 ] and [ 16 ], etc.…”

Section: Related Workmentioning

confidence: 99%

Data Access Based on a Guide Map of the Underwater Wireless Sensor Network

Wei

Song

Yin

et al. 2017

Sensors

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Underwater wireless sensor networks (UWSNs) represent an area of increasing research interest, as data storage, discovery, and query of UWSNs are always challenging issues. In this paper, a data access based on a guide map (DAGM) method is proposed for UWSNs. In DAGM, the metadata describes the abstracts of data content and the storage location. The center ring is composed of nodes according to the shortest average data query path in the network in order to store the metadata, and the data guide map organizes, diffuses and synchronizes the metadata in the center ring, providing the most time-saving and energy-efficient data query service for the user. For this method, firstly the data is stored in the UWSN. The storage node is determined, the data is transmitted from the sensor node (data generation source) to the storage node, and the metadata is generated for it. Then, the metadata is sent to the center ring node that is the nearest to the storage node and the data guide map organizes the metadata, diffusing and synchronizing it to the other center ring nodes. Finally, when there is query data in any user node, the data guide map will select a center ring node nearest to the user to process the query sentence, and based on the shortest transmission delay and lowest energy consumption, data transmission routing is generated according to the storage location abstract in the metadata. Hence, specific application data transmission from the storage node to the user is completed. The simulation results demonstrate that DAGM has advantages with respect to data access time and network energy consumption.

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Section: Related Workmentioning

confidence: 99%

Data Access Based on a Guide Map of the Underwater Wireless Sensor Network

Wei

Song

Yin

et al. 2017

Sensors

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“…Middleware paradigms are also proposed for in-network event detection in WSNs [20,26,27]. For instance, the EnviroTrack system [1] is a middleware system that provides a convenient interface for application programmers in object tracking.…”

Section: Related Workmentioning

confidence: 99%

Dynamic collaborative in-network event detection in wireless sensor networks

Cao

Fan

2015

Telecommun Syst

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Many applications of wireless sensor networks (WSNs) require events be detected around moving targets and delivered to a user, whose location may also change over time. Consequently, it is not desirable to have a single sensor node serving as the sink node for centralized event processing. Furthermore, an event usually occurs across different locations and lasts for a period of time that are unknown in advance. Hence it cannot be detected by a static set of sensor nodes. In this paper, we propose a general framework for such dynamic in-network event detection in WSNs. This framework enables a flexible number of sensor nodes to dynamically collaborate in detecting and delivering any specified event. So far there has been no such work reported in the literature. We have designed a protocol for the sensor nodes to autonomously determine whether they should participate in and which tasks they should perform to collaboratively process an event. We have implemented a prototype of the proposed framework using MicaZ motes and evaluated it through both simulations and experiments. The results demonstrate that our framework is effective and efficient in terms of energy cost and event processing delay.

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“…Nowadays, commonly used mobile phones have such a high computing power that they are potentially capable of performing many more tasks than the one originally intended for them. In the last decade, several research works have proposed to make use of regular phones with their on-board sensors, or specialised add-on devices, in order to acquire data or to learn about a certain phenomenon such as pollution, noise levels and traffic conditions (e.g., Ganti et al (2011), Gaonkar et al (2008), Lane et al (2010), Lu et al (2010), Mohan et al (2008), Montes- de-Oca et al (2014) and Shilton (2009)). By following the mobile crowdsensing approach, all these devices can work together in order to create a city-wide Wireless Sensor Network comprised of mobile nodes.…”

Section: Introductionmentioning

confidence: 99%

Urbihoc: a delay tolerant approach for data acquisition in urban areas using a mobile wireless sensor network

Montes-de-Oca

Gómez

Lopez‐Guerrero

2019

IJSNET

Self Cite

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In recent years several pieces of research have proposed the use of wireless mobile nodes to sense a wide diversity of phenomena in urban areas. Data collected by mobile sensors are typically sent to a central server in order to be shared with other users through cellular or WiFi networks. Unfortunately, the cost of deploying and maintaining such infrastructure may be prohibitively high. Furthermore, a disaster situation on the server side may cause the failure of the whole system. As an alternative approach, in this work we introduce Urbihoc, a data acquisition method that uses opportunistic transmissions to directly share data among mobile nodes. In this way, from local exchanges, Urbihoc builds up global knowledge about a monitored phenomenon. Our results suggest that, in some applications, it is possible to monitor a phenomenon over a large metropolitan area by using only the resources contributed by mobile users.

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DISAGREE: disagreement-based querying in wireless sensor networks

Cited by 3 publications

References 27 publications

Data Access Based on a Guide Map of the Underwater Wireless Sensor Network

Data Access Based on a Guide Map of the Underwater Wireless Sensor Network

Dynamic collaborative in-network event detection in wireless sensor networks

Urbihoc: a delay tolerant approach for data acquisition in urban areas using a mobile wireless sensor network

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