A flexible building management framework based on wireless sensor and actuator networks

Fortino, Giancarlo; Guerrieri, Antonio; O’Hare, Gregory M. P.; Ruzzelli, Antonio G.

doi:10.1016/j.jnca.2012.07.016

Cited by 106 publications

(50 citation statements)

References 19 publications

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“…In particular, the BMFAdapter [10] and the SPINEAdapter [11][12][13] enable the management of environmental and wearable sensor networks.…”

Section: Agent-oriented Modeling and Simulation Of Iot Networkmentioning

confidence: 99%

Agent-oriented Modeling and Simulation of IoT Networks

Fortino

2016

Annals of Computer Science and Information Systems

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Abstract-Internet of Things (IoT) networks are being continually developed in several domains, however no systematic processes for their modeling and simulation exist so far. In this paper, an agent-oriented approach to IoT networks modeling is proposed by exploiting the ACOSO model. As IoT networks share many substantial features/issues with multi-agent systems (MAS) [3] and SOs may be effectively modeled as agents, in this paper an agent-oriented approach to model IoT networks is presented. In particular, the ACOSO (Agent-based Cooperative Smart Object)-based SO model [4] has been exploited to describe, from the agent perspective, SO main features, relationships and interactions.Moreover, in order to analyze IoT networks at SO communication level, the Omnet++ [5] network simulation platform has been used to evaluate bottlenecks and issues in specifically defined scenarios. The rest of the paper is organized as follows: in Section II, the ACOSO-based SO model and other concrete examples of the Agent-oriented Modeling (AoM) applied to the SO-based IoT context are

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“…In particular, the BMFAdapter [10] and the SPINEAdapter [11][12][13] enable the management of environmental and wearable sensor networks.…”

Section: Agent-oriented Modeling and Simulation Of Iot Networkmentioning

confidence: 99%

Agent-oriented Modeling and Simulation of IoT Networks

Fortino

2016

Annals of Computer Science and Information Systems

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“…Examples include an integration architecture of Cloud computing and WSNs [8], SensorWeb [9], SensorGrid [10], [11], [12], the Sensor-Cloud infrastructure [13], the BodyCloud architecture [16] and use of wireless sensors in buildings [17] etc.…”

Section: Related Workmentioning

confidence: 99%

Cloud Supported Building Data Analytics

Petri

Rana

Rezgui

et al. 2014

2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

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Abstract-With increasing availability of instrumented infrastructures in built environments, it is necessary to understand how such data will be stored, processed and analysed in a timely manner. Many "smart cities" applications, for instance, identify how data from building sensors can be combined together to support applications such as emergency response, energy management, etc. Enabling sensor data to be transmitted to a Cloud environment for processing provides a number of benefits, such as scalability and elastic provisioning of computational resources -as the total data size may not be known apriori. In this application-based case study, we describe the integration of an in-building sensor network (both for sensing and actuation) with a distributed Cloud environment. Energy optimisation in buildings represents a class of problems that requires significant computational resources and generally is a time consuming process. We describe the use of Cloud computing for efficiently running and deploying EnergyPlus simulations with sensor data in order to fulfil a number of energy related objectives for buildings. We describe and evaluate the establishment of such a sensor based application using a CometCloud implementation with data collection from a real building pilot. Although our focus is on a single application, the general architecture and analysis carried out can be generalised to other similar scenarios.

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“…Since they can be easily deployed and self-organized, WSNs can cover a wide range of applications domains [1,2]. As in most of scenarios WSNs are expected to operate in unattended environments, the sensor nodes always suffer from the risk of energy depletion, hardware malfunction, or deliberate attacks [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…Aiming to tackle this issue, in this paper we propose a new topology evolution model for WSNs by considering scale-free and small-world at the same time. The evolution model has the following characteristics: (1) by introducing cluster heads and cluster members into the network according to the predefined cluster ratio, the generated network topology is featured by cluster structure which is more closed to application cases of WSNs; (2) to reduce the energy consumption and prolong the lifetime of the network, in our mechanism the cluster heads with high-degree and sufficient energy are more likely to have new connections and the maximum number of connections a cluster head could possess is constrained by the degree saturation; (3) aimed at further improving the energy balance and energy consumption efficiency in generated scale-free WSNs topology, shortcuts are introduced into the network during the evolution process to achieve small-world effect. Four shortcut deployment schemes (i.e., RC, SC, RCS, and SCS) are presented; (4) it has been proven that building shortcuts between schemed clusters (i.e., cluster heads with highest degree) and the sink is the most effective way to maximize the lifting effects of shortcuts among four proposed deployment schemes.…”

Section: Introductionmentioning

confidence: 99%

Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

Duan

et al. 2017

Complexity

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Scale-free network and small-world network are the most impacting discoveries in the complex networks theories and have already been successfully proved to be highly effective in improving topology structures of wireless sensor networks. However, currently both theories are not jointly applied to have further improvements in the generation of WSN topologies. Therefore, this paper proposes a cluster-structured evolution model of WSNs considering the characteristics of both networks. With introduction of energy sensitivity and maximum limitation of degrees that a cluster head could have, the performance of our model can be ensured. In order to give an overall assessment of lifting effects of shortcuts, four placement schemes of shortcuts are analyzed. The characteristics of small-world network and scale-free network of our model are proved via theoretical derivation and simulations. Besides, we find that, by introducing shortcuts into scale-free wireless sensor network, the performance of the network can be improved concerning energy-saving and invulnerability, and we discover that the schemes constructing shortcuts between cluster heads and the sink node have better promoted effects than the scheme building shortcuts between pairs of cluster heads, and the schemes based on the preferential principle are superior to the schemes based on the random principle.

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A flexible building management framework based on wireless sensor and actuator networks

Cited by 106 publications

References 19 publications

Agent-oriented Modeling and Simulation of IoT Networks

Agent-oriented Modeling and Simulation of IoT Networks

Cloud Supported Building Data Analytics

Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

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