Deployment and evaluation of a fully applicable distributed event detection system in Wireless Sensor Networks

Dziengel, Norman; Seiffert, Martin; Ziegert, Marco; Adler, Stephan; Pfeiffer, Stefan; Schiller, Jochen

doi:10.1016/j.adhoc.2015.08.017

Cited by 26 publications

(18 citation statements)

References 12 publications

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“…Dziengel et al compared their distributed detection system with four different data application scenarios with varying data processing concepts and varying network sizes to analyze the resulting communication load and the system lifetime [ 64 ]. They claim that their distributed detection mechanism makes the system more energy efficient and increases the average network life-time.…”

Section: Existing Poaching Detection Technologiesmentioning

confidence: 99%

Poaching Detection Technologies—A Survey

Kamminga

Ayele

Meratnia

et al. 2018

Sensors

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Between 1960 and 1990, 95% of the black rhino population in the world was killed. In South Africa, a rhino was killed every 8 h for its horn throughout 2016. Wild animals, rhinos and elephants, in particular, are facing an ever increasing poaching crisis. In this paper, we review poaching detection technologies that aim to save endangered species from extinction. We present requirements for effective poacher detection and identify research challenges through the survey. We describe poaching detection technologies in four domains: perimeter based, ground based, aerial based, and animal tagging based technologies. Moreover, we discuss the different types of sensor technologies that are used in intruder detection systems such as: radar, magnetic, acoustic, optic, infrared and thermal, radio frequency, motion, seismic, chemical, and animal sentinels. The ultimate long-term solution for the poaching crisis is to remove the drivers of demand by educating people in demanding countries and raising awareness of the poaching crisis. Until prevention of poaching takes effect, there will be a continuous urgent need for new (combined) approaches that take up the research challenges and provide better protection against poaching in wildlife areas.

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Section: Existing Poaching Detection Technologiesmentioning

confidence: 99%

Poaching Detection Technologies—A Survey

Kamminga

Ayele

Meratnia

et al. 2018

Sensors

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“…Otro punto importante consiste en que las redes de sensores nos abren un gran conjunto de posibilidades; especialmente esta aplicación se centra tanto en la optimización de los hogares inteligentes como en la medición de variables que permitan la reducción de pérdidas de energía injustificadas a través de los sistemas de distribución eléctrica, Existen muchas ventajas respecto a la aplicación de redes de sensores inalámbricos en las actividades o proyectos que buscan realizar la medición de variables físicas relacionadas con las redes eléctricas [38]; esto incluye desde la fase de generación eléc-trica. Tradicionalmente existían sistemas que utilizaban protocolos de comunicación como TRF1000 o el CC1000 para comunicar los nodos de la red, pero en la actualidad para realizar aplicaciones a niveles de redes sus utilizan protocolos basados en la IEEE 802.15.4 [39]. Además algunas otras ventajas que presentan estas redes son mayor facilidad en las instalaciones, nos permiten tener un sistema de detección de errores, poseen un mayor alcance, una mayor velocidad de los flujos de información, entre otras muchas otras [40].…”

Section: A Infraestructura De Medición Avanzada En Hogares Inteligentesunclassified

Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes

2016

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Resumen− Este artículo se desarrolla con base en redes de sensores sobre Smart Grids, en conjunto con una metodología de gestión apropiada que nos permita analizar y comprobar mediante una simulación el comportamiento de estas redes inalámbricas de una manera interna, dentro de una vivienda u hogar inteligente, teniendo en cuenta varios parámetros o restricciones como son la distancia de cobertura, la capacidad y el porcentaje de cobertura. Para ello se describe la infraestructura de redes inteligentes y se plantea un modelo matemático para minimizar la distancia de los sensores a los puntos de acceso dentro del área considerada. Además está enfocado en el diseño de estas redes inteligentes, donde se realiza una optimización de los diferentes puntos factibles, con lo que se logra una máxima cobertura de los sensores para implementar un adecuado sistema de gestión de energía en hogares inteligentes, basado en un servicio fiable de la conectividad de la red.Palabras clave− Redes de Sensores Inalámbricos, Hogares Inteligentes, Cobertura, Infraestructura de Medición Avanzada, Interior, Optimización.Abstract− This article was developed based on sensor networks for Smart Grids, together with appropriate management methodology which it allows us to analyze and check by a simulation the behavior of these wireless networks in an internal way, inside of a dwelling or smart home, knowing that we use different parameters or restrictions like the coverage distance, the capacity and the percentage of coverage. For this we described the intelligent network infrastructure and we propose a mathematical model to minimize the distance from the sensors to the access points inside the considered area. Additionally, this paper is focused on the design of these smart grids. An optimization of the different feasible points is presented, obtaining a maximum coverage of the sensors, in order to implement an appropriate energy management system in smart homes, based on reliable service network connectivity.

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“…For convenience, we mention the former two as network-boundary nodes and the third one as event-boundary sensors. The later one can be distinguished out by reporting different statistical data through various measurements according to events [5]. However, these methods are almost incapable of identifying networkboundary sensors as there could be no active event in a RoI.…”

Section: Introductionmentioning

confidence: 99%

Boundary Node Identification in Three Dimensional Wireless Sensor Networks for Surface Coverage

Wei

Song

Zheng

et al. 2019

IEICE Trans. Inf. & Syst.

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With the existing of coverage holes, the Quality of Service (such as event response, package delay, and the life time et al.) of a Wireless Sensor Network (WSN) may become weaker. In order to recover the holes, one can locate them by identifying the boundary nodes on their edges. Little effort has been made to distinguish the boundary nodes in a model where wireless sensors are randomly deployed on a threedimensional surface. In this paper, we propose a distributed method which contains three steps in succession. It first projects the 1-hop neighborhood of a sensor to the plane. Then, it sorts the projected nodes according to their angles and finds out if there exists any ring formed by them. At last, the algorithm validates a circle to confirm that it is a ring surrounding the node. Our solution simulates the behavior of rotating a semicircle plate around a sensor under the guidance of its neighbors. Different from the existing results, our method transforms a three-dimensional problem into a two-dimensional one and maintaining its original topology, and it does not rely on any complex Hamiltonian Cycle finding to test the existence of a circle in the neighborhood of a sensor. Simulation results show our method outperforms others at the correctness and effectiveness in identifying the nodes on the edges of a three-dimensional WSN.

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Deployment and evaluation of a fully applicable distributed event detection system in Wireless Sensor Networks

Cited by 26 publications

References 12 publications

Poaching Detection Technologies—A Survey

Poaching Detection Technologies—A Survey

Cobertura máxima de redes de sensores inalámbricos para un sistema de gestión de energía en hogares inteligentes

Boundary Node Identification in Three Dimensional Wireless Sensor Networks for Surface Coverage

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