An Integrated Sensor Web Grid Cyberimplementation for Environmental Protection

Preve, Nikolaos; Protonotarios, E.N.

doi:10.1109/jsen.2011.2104949

Cited by 8 publications

(11 citation statements)

References 13 publications

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“…The primary endeavors of cyber implementation are to leverage dynamic sensor data in the grid environment and to guarantee uninterrupted data processing and storage [20]. Testing of sensor devices can be done by using Sensors Suite involving Wireless Sensor and Actuator Network (WSAN) for grid based applications [21] [22].…”

Section: Recent Workmentioning

confidence: 99%

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Subhashini¹,

Alli²

2016

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Researches related to wireless sensor networks primarily concentrate on Routing, Location Services, Data Aggregation and Energy Calculation Methods. Due to the heterogeneity of sensor networks using the web architecture, cross layer mechanism can be implemented for integrating multiple resources. Framework for Sensor Web using the cross layer scheduling mechanisms in the grid environment is proposed in this paper. The resource discovery and the energy efficient data aggregation schemes are used to improvise the effective utilization capability in the Sensor Web. To collaborate with multiple resources environment, the grid computing concept is integrated with sensor web. Resource discovery and the scheduling schemes in the grid architecture are organized using the medium access control protocol. The various cross layer metrics proposed are Memory Awareness, Task Awareness and Energy Awareness. Based on these metrics, the parameters-Node Waiting Status, Used CPU Status, Average System Utilization, Average Utilization per Cluster, Cluster Usage per Hour and Node Energy Status are determined for the integrated heterogeneous WSN with sensor web in Grid Environment. From the comparative analysis, it is shown that sensor grid architecture with middleware framework has better resource awareness than the normal sensor network architectures.

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Section: Recent Workmentioning

confidence: 99%

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Subhashini¹,

Alli²

2016

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“…Its benefits are numerous like the ability for long term data storage and indexing, high processing power [7], etc. This approach was selected in many environment monitoring works [8]- [14]. We choose it also to develop our middleware system.…”

Section: Related Workmentioning

confidence: 99%

“…In [15], authors proposed an air pollution monitoring system involving a context model for understanding the air pollution status on the remote place. The Integrated Sensor Web Grid Cyberimplementation [14] has two goals. The first one is to demonstrate the integration features of heterogeneous environmental wireless sensor networks.…”

Section: Related Workmentioning

confidence: 99%

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Design and Performance Evaluation of a System for Storing and Visualizing Data from a Sensor Network

Drira¹,

Renault²,

Zeghlache³

2013

JACN

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Abstract-This paper presents architecture design and performance evaluation of a back end system used to store, index, manage and visualize water quality measurements collected by sensor networks deployed in rivers, lakes and coastal regions. The embedded communications systems in each sensor node enable ad hoc network operation to relay the measurements to the back end system in charge of managing, processing and providing data to end users and large communities through web interfaces. The focus is on the back end system architecture description and on the evaluation of its performance.

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“…Wireless sensor networks also have been applied to many applications, such as pollution monitoring [1], automobile communication [2], biomedical health monitoring [3], natural disaster relief [4], and so on. After collecting the data, sensors will transfer the data to data collection center.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluations of an Ant Colony Optimization Routing Algorithm for Wireless Sensor Networks

Lin

Chen

2014

2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing

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Previous research of ant-based routing algorithms mainly focused on energy efficiency. However, how ant-based routing algorithms perform in other metrics has been neglected. In this research, we compare the packet delivery ratio, the end-to-end delay and the first packet arrival time of an ant colony optimization (ACO) routing algorithm with three routing protocols commonly used in MANET, namely, AODV, DSDV, and DSR, in the wireless sensor network setting. We found that the ACO is not only energy efficient but also has the best performance in both the packet delivery ratio and the first packet arrival time compared to other routing algorithms. In some cases, it might not perform well in the end-to-end delay.

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An Integrated Sensor Web Grid Cyberimplementation for Environmental Protection

Cited by 8 publications

References 13 publications

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Design and Performance Evaluation of a System for Storing and Visualizing Data from a Sensor Network

Performance Evaluations of an Ant Colony Optimization Routing Algorithm for Wireless Sensor Networks

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