Centralized and Clustered k-Coverage Protocols for Wireless Sensor Networks

Ammari, Habib M.; Das, Sajal K.

doi:10.1109/tc.2011.82

Cited by 179 publications

(101 citation statements)

References 37 publications

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“…Here, an analysis of the proposed topology is provided to establish a relationship between network size and required coverage. The sensing range of sensing devices lies between 25-30 meters (Ammari and Das, 2012). The width of standard depot is approximately 22 meters.…”

Section: Analysis 61 Network Size and Coveragementioning

confidence: 99%

A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors

Mishra

Tripathy

Obaidat

et al. 2018

Proceedings of the 15th International Joint Conference on E-Business and Telecommunications

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Abstract:Due to lack of an efficient monitoring system to periodically record environmental parameters for food grain storage, a huge loss of food grains in storage is reported every year in many developing countries, especially south-Asian countries. Although Smart Sensor Networks have been successfully implemented in various applications such as health-care, military, and wildlife monitoring, there are still various issues to be addressed in food grain storage monitoring applications. Due to the food grain storage infrastructure constraints, the commonly practiced network topologies of sensor devices such as mesh, star, and grid cannot provide an effective monitoring environment. In this paper, we proposed a topology using smart sensors that can effectively cover and monitor the food grain storage area. It uses a chained structure of sensor devices with directional antennas to accurately sense and report the environmental data. The proposed topology works better than common topologies due to its chain-based structure which remains unaffected by various hindrance imposed due to food grain storage infrastructure. From the experimental results it is conclude that the proposed topology has effective coverage percentage, detection accuracy, and message delivery over Cluster-based and Mesh topologies in food grain storage environments.

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Section: Analysis 61 Network Size and Coveragementioning

confidence: 99%

A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors

Mishra

Tripathy

Obaidat

et al. 2018

Proceedings of the 15th International Joint Conference on E-Business and Telecommunications

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“…Las características de la medición inteligente advierte que los sensores-medidores inteligentes son fijos y, por tanto, la colocación de sitios de concentración y agregación de datos resulta más simple; sin embargo, se debe garantizar su cobertura, con limitantes en la capacidad de cada tecnología que pudiera ser empleada [11][12].…”

Section: Dimensionamiento Y Enrutamiento De La Red De Sensores Inalámunclassified

Óptimo despliegue y enrutamiento de UDAP para infraestructura de medición avanzada basada en el algoritmo MST

Ganán

Inga

Hincapié

2017

Ingeniare. Rev. chil. ing.

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RESUMENEl presente artículo permite optimizar el costo por despliegue de los puntos de agregación de datos universales (UDAP) para la infraestructura avanzada de medición inteligente (AMI) considerando cobertura y capacidad. Se presenta un modelo de enrutamiento entre UDAPs basado en minimum spanning tree (MST) para encontrar el mínimo número de enlaces en una zona georreferenciada específica. Al estar georreferenciada se logra que la localización de UDAP y la topología de la red sean reales. La búsqueda de los lugares óptimos de un conjunto de sitios candidatos advierte la necesidad de un algoritmo de optimización que permita minimizar los sitios candidatos y los convierta en sitios factibles activos en el diseño previo al despliegue de la red. Los resultados obtenidos implican un punto base firme para que las empresas de distribución eléctrica establezcan el número adecuado de concentradores (UDAP). Dentro del trabajo se consideran ciertas tecnologías de comunicación aplicadas en AMI como: redes celulares (CDMA, GPRS, LTE) o el estándar IEEE 802.15.4 g. El menor costo basado en el uso óptimo de recursos para despliegue de infraestructura toma gran importancia para la planificación y escalabilidad de la red de AMI.Palabras clave: Redes eléctricas inteligentes, infraestructura de medición avanzada, punto de agregación de datos universal, mínimo árbol de expansión, optimización, costos, red de sensores inalámbricos. ABSTRACT This paper optimizes the cost of deployment of universal data aggregation points (UDAP) for advanced smart metering infrastructure (AMI), considering coverage and capacity. We propose a routing model between UDAPs, based on minimum spanning tree algorithm (MST) to find the minimum number of links in a specific geo-referenced area. Because it is geo-referenced, the location of the UDAP and the topology

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“…By solving the relationship function of the network connectivity and coverage quality, the probability that any target node in the monitoring area is covered by the sensor node is given, and it can dynamically adjust the position distribution of active nodes through the SCA algorithm, so that it can achieve the whole network energy balance. A distributed deployment node coverage algorithm is proposed in [12]. The monitoring area is divided into several different regions, the algorithm constitutes a Voronoi diagram and the geometric is calculated for each sub region.…”

Section: Related Workmentioning

confidence: 99%

Coverage Holes Compensation Algorithms Based on Event-Driven Strategy in Wireless Sensor Networks

Sun

Yun²,

Nie

et al. 2016

IJFGCN

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Centralized and Clustered k-Coverage Protocols for Wireless Sensor Networks

Cited by 179 publications

References 37 publications

A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors

A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors

Óptimo despliegue y enrutamiento de UDAP para infraestructura de medición avanzada basada en el algoritmo MST

Coverage Holes Compensation Algorithms Based on Event-Driven Strategy in Wireless Sensor Networks

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