AWARE: Platform for Autonomous self-deploying and operation of Wireless sensor-actuator networks cooperating with unmanned AeRial vehiclEs

Ollero, A.; Bernard, M.; Civita, M. La; Hoesel, Lodewijk van; Marrón, Pedro José; Lepley, J.J.; Andrés, Eduardo

doi:10.1109/ssrr.2007.4381259

Cited by 46 publications

(26 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this category AWARE (Ollero et al (2007)), WMOS (Zhai et al (2011)), and TinyMQ (Shi et al (2011)) are also included. …”

Section: Message-oriented Componentsmentioning

confidence: 99%

An overview of centralised middleware components for sensor networks

Onderwater

2016

IJAHUC

View full text Add to dashboard Cite

Sensors are increasingly becoming part of our daily lives: motion detection, lighting control, environmental monitoring, and keeping track of energy consumption all rely on sensors. Combining data from this wide variety of sensors will result in new and innovative applications. However, access to these sensors -or the networks formed by them -is often provided via proprietary protocols and data formats, thereby obstructing the development of applications. To overcome such issues, middleware components have been employed to provide a universal interface to the sensor networks, hiding vendor-specific details from application developers. The scientific literature contains many descriptions of middleware components for sensor networks, with ideas from various fields of research. Recently, much attention in literature is aimed at what we, in this paper, define as 'centralised' middleware components. These components consider sensor networks that have no capacity -in terms of memory, data storage, and cpu power -to run middleware components (partially) on the sensor nodes. Often, viewed from the position of the middleware component, these sensor networks function as simple data providers for applications.In this paper we introduce the term 'centralised' for such middleware components, guided by a literature review of existing middleware components for sensor networks. We describe their general architecture, give a description of a representative set of four centralised middleware components, and discuss advantages and disadvantages of these components. 1Finally, we identify directions of further research that will impact centralised middleware systems in the near future.

show abstract

“…In this category AWARE (Ollero et al (2007)), WMOS (Zhai et al (2011)), and TinyMQ (Shi et al (2011)) are also included. …”

Section: Message-oriented Componentsmentioning

confidence: 99%

An overview of centralised middleware components for sensor networks

Onderwater

2016

IJAHUC

View full text Add to dashboard Cite

show abstract

“…They proposed a token based technique to update information in the network for efficiently handling the high mobility of UAVs. Ollero et al [4] presented a platform that enables autonomous aerial vehicles to cooperate with ground wireless sensor-actuator networks. Alshbatat et al [5] used the approach of cross layer design to deal with the high dynamics in UAV networks.…”

Section: Introductionmentioning

confidence: 99%

The Shadowing Propagation Model in Unmanned Aerial Vehicle Networks

Peng¹

2015

IJWMN

View full text Add to dashboard Cite

show abstract

“…KSpot + is an open-source middleware framework 1 for WSNs that can be utilized in numerous application domains including environmental monitoring [36,29], big ephemeral events [40,25], structural monitoring [17], urban monitoring [28,5], military/security applications [23,30,12], health monitoring [19,27], etc. We now describe how KSpot + has been deployed in the context of two projects:…”

Section: Introductionmentioning

confidence: 99%

A network-aware framework for energy-efficient data acquisition in wireless sensor networks

Andreou

Zeinalipour-Yazti

Samaras

et al. 2014

Journal of Network and Computer Applications

View full text Add to dashboard Cite

Wireless Sensor Networks enable users to monitor the physical world at an extremely high fidelity. In order to collect the data generated by these tiny-scale devices, the data management community has proposed the utilization of declarative data-acquisition frameworks. While these frameworks have facilitated the energyefficient retrieval of data from the physical environment, they were agnostic of the underlying network topology and also did not support advanced query processing semantics. In this paper we present KSpot + , a distributed network-aware framework that optimizes network efficiency by combining three components: i) the tree balancing module, which balances the workload of each sensor node by constructing efficient network topologies; ii) the workload balancing module, which minimizes data reception inefficiencies by synchronizing the sensor network activity intervals; and iii) the query processing module, which supports advanced query processing semantics. In order to validate the efficiency of our approach, we have developed a prototype implementation of KSpot + in nesC and JAVA. In our experimental evaluation, we thoroughly assess the performance of KSpot + using real datasets and show that KSpot + provides significant energy reductions under a variety of conditions, thus significantly prolonging the longevity of a WSN.

show abstract

AWARE: Platform for Autonomous self-deploying and operation of Wireless sensor-actuator networks cooperating with unmanned AeRial vehiclEs

Cited by 46 publications

References 8 publications

An overview of centralised middleware components for sensor networks

An overview of centralised middleware components for sensor networks

The Shadowing Propagation Model in Unmanned Aerial Vehicle Networks

A network-aware framework for energy-efficient data acquisition in wireless sensor networks

Contact Info

Product

Resources

About