A dynamic algorithm to improve industrial Wireless Sensor Networks management

Collotta, Mario; Gentile, Luca; Pau, Giovanni; Scatà, Gianfranco

doi:10.1109/iecon.2012.6389451

Cited by 19 publications

(9 citation statements)

References 19 publications

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“…WSNs can be used in several fields like home automation [6][7], health [8], biometric systems [9], industry [10][11] and road monitoring. Considering the increasing use of this technology, the researchers aim to develop architectures and techniques in order to obtain a high-performance use of WSNs in several and complex fields like Intelligent Transportation Systems.…”

Section: Wireless Sensor Network For Road Traffic Managementmentioning

confidence: 99%

A self-powered wireless sensor network for dynamic management of queues at traffic lights

Collotta

Denaro

Scatà

et al. 2014

Transport and Telecommunication Journal

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The dynamic management of traffic light cycles is a really interesting research issue considering modern technologies, which can be used in order to optimise road junctions and then improve living conditions of the roads. Wireless sensor networks represent the most suitable technology, as they are easy to deploy and manage. The data relating to road traffic flows can be detected by the sensor network and then processed through the innovative approach, proposed in this work, in order to determine the right green times at traffic lights. Although wireless sensor networks are characterized by very low consumption devices, the continuous information transmission reduces the life cycle of the whole network. To this end, the proposed architecture provides a technique to power the sensor nodes based on piezoelectric materials, which allow producing potential energy taking advantage of the vibration produced by the passage of vehicles on the road.

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Section: Wireless Sensor Network For Road Traffic Managementmentioning

confidence: 99%

A self-powered wireless sensor network for dynamic management of queues at traffic lights

Collotta

Denaro

Scatà

et al. 2014

Transport and Telecommunication Journal

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“…Moreover, the accurate real-time knowledge of the localization of an object inside a factory is really important both in terms of safety and efficiency. Several factors need to be considered to make the localization feasible in industrial environments [12]: Range and Bandwidth; Mobility and Dynamics; Size and Scalability; Real-Time requirements [13]; Interference (especially in a wireless localization context); Energy consumption [14]; Integration with the existing industrial infrastructure. In this paper, a novel smart localization mechanism will be presented.…”

Section: Introductionmentioning

confidence: 99%

Smart localization platform for IEEE 802.11 industrial networks

Collotta

Cascio

Pau

et al. 2013

2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES)

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In factory automation contexts, the localization is an important issue to be considered in order to help industrial monitoring processes, at different layers. This paper shows the study of an innovative localization platform, for industrial environments, based on the IEEE 802.11 technology. The platform can be easily implemented inside an existing communication architecture, introducing several Wi-Fi sensor nodes on the mobile end-devices monitored, and a simple controller node to manage positioning information.

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“…Data packets are updated based on their priority weight and flow is controlled using congestion detection metric as expressed in equation (1). The congestion level is predicted based on the number of retransmission recorded in the last sessions.…”

Section: Protocol Implementationmentioning

confidence: 99%

“…Recent development has shown the significant improvement in an industrial automation [1,2,3], residential projects, and smart city developments using the low rate heterogeneous wireless sensor technology (WSNs). This technology is mainly used for those applications which demand the low air data rate and long life.…”

Section: Introductionmentioning

confidence: 99%

PriTLP: A Priority-based Transport Layer Protocol for Low Rate Wireless Sensor Networks

Sarode¹,

Bakal²

2017

AJST

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This paper presents a solution for priority-based data transmission in heterogeneous wireless sensor networks. Considering the requirements of each event separately while delivering a data simultaneously is a challenging task in the sensor networks. Therefore, we present the PriTLP protocol for prioritizing the information at various data processing units in the multi-hop topology network. It brings a distributed approach for taking decisions on behalf of the sink node which fastens the data processing, reduces the communication delays, and prolongs the network life. It performs two operations, namely data prioritization and scheduling; and identifying the congestion degree of the network. The reported work is implemented and validated over the RF TestBed by managing the buffer level. It shows high packet delivery ratio, greater throughput, and fewer communication delays of high priority-based traffic flow over regular flows.

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A dynamic algorithm to improve industrial Wireless Sensor Networks management

Cited by 19 publications

References 19 publications

A self-powered wireless sensor network for dynamic management of queues at traffic lights

A self-powered wireless sensor network for dynamic management of queues at traffic lights

Smart localization platform for IEEE 802.11 industrial networks

PriTLP: A Priority-based Transport Layer Protocol for Low Rate Wireless Sensor Networks

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