Fire Detection Systems in Wireless Sensor Networks

Dener, Murat; Özkök, Yunus; Bostancıoğlu, Cevat

doi:10.1016/j.sbspro.2015.06.408

Cited by 29 publications

(15 citation statements)

References 4 publications

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“…Indeed, the present study aims to break the technological limitation of the incorrect timestamping of data transmitted for measurements versus a real scale fire using a WSN. Even if it is non-exhaustive, the list [7,8,9,10,11] illustrates that the literature only reports on wireless sensors systems for fire detection in the open or in harsh industrial environments. The continuous measurements of physical quantities (heat, air content of moisture) is rarely addressed with a wireless sensor network.…”

Section: Wireless Sensors Network (Wsn) In the Ieee 802154: Zigmentioning

confidence: 99%

“…That illustrates the IEEE 802.15.4 can only be set up as an FFD for short-time measurement campaigns (about 1 day) and that the long-term autonomy of the Zigbee network imposes an RFD parametrisation of the network. The list [7,8,9,10,11] reports on fire monitoring with a WSN solution where the protocol only sends radio packets when a fire causes the measurements to change over certain values [7] or for fire detection only [8,9,10,11]: Both concern the RFD configuration of the node network contrary to ours in Reference [6].…”

Section: Wireless Sensors Network (Wsn) In the Ieee 802154: Zigmentioning

confidence: 99%

“…Indeed, if a node in the routing map breaks down, its neighbours will recompute a new route for transmitting the data at the next cycle. Only a few examples of a solution based on a WSN architecture in experiment detection and monitoring systems for fire are available in literature [7,8,9,10,11]. However, up to now, in the limit of our knowledge of the scientific literature about WSN and fire, none of these WSN solutions has already been used in order to perform continuous measurements over the area to monitor.…”

Section: Introductionmentioning

confidence: 99%

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An OCARI-Based Wireless Sensor Network for Heat Measurements during Outdoor Fire Experiments

Carlotti

Silvani

Innocenti

et al. 2019

Sensors

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This study presents a new wireless measurement system for outdoor fire experiments based on an OCARI wireless sensor network (WSN). The open-source radio communication OCARI stack (‘Open Communication Protocol for Ad Hoc Reliable Industrial Instrumentation’) allows to overcome the limitations of the previous wireless solutions for fire measurements, especially those based on proprietary systems, such as Zigbee, wherein users cannot control energy consumption and timestamping. This paper presents the design of an Atmel/ARM-based platform compatible with the wireless OCARI stack, adapted to record and communicate data from heat transducers—namely, a K-type thermocouple and heat fluxmeter. A 5-node WSN using heat sensors faces a 10 m2 natural fire of excelsior (pine wood) in outdoor conditions. Measurements from the OCARI-WSN were compared with the same measurements simultaneously recorded on a datalogger, a standard wired solution in fire science. Thus, six fire experiments were performed for different fuel loads, and the incident heat radiation varies with the fire size under variable wind conditions. The technological breakdown of timestamping identified in previous low-energy consumption and low-cost wireless systems is overcome by the present solution.

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Section: Wireless Sensors Network (Wsn) In the Ieee 802154: Zigmentioning

confidence: 99%

Section: Wireless Sensors Network (Wsn) In the Ieee 802154: Zigmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An OCARI-Based Wireless Sensor Network for Heat Measurements during Outdoor Fire Experiments

Carlotti

Silvani

Innocenti

et al. 2019

Sensors

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“…In present, many applications of WSN are being developed, including irrigation, precision agriculture, greenhouse, cold chain control, M2M-based machine and process control, environmental monitoring, traceability, home automation system, military areas, medical systems, fire detection systems, quality monitoring and other commercial areas [19,[38][39][40][41][42] . WSN will be an integral part of our future lives after personal computers.…”

Section: Wsn Technology For Iotmentioning

confidence: 99%

Mini-review of application of IoT technology in monitoring agricultural products quality and safety

Hua

Wang

et al. 2018

International Journal of Agricultural and Biological Engineering

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Internet of Things (IoT) technology has been identified as one of the emerging technologies in information technology (IT), which is widely used in all walks of life in the world. The key technologies of IoT technology, such as radio frequency identification (RFID), wireless sensor network (WSN), sensors and global positioning system (GPS), had been widely used in farmland and greenhouse management, environmental monitoring, cold chain monitoring and tracking, and traceability, etc. As advancements in science and technology, IoT technology has been widely applied in agricultural products quality and safety, which brought a number of potential benefits for detecting agricultural products easier and automatically, improving the efficiency and speed of operations, decreasing the labor cost, promoting the agricultural products quality and safety. This paper intended to introduce the concept of IoT technology, the key technologies used at present and review the recent applications of IoT technology in monitoring agricultural products quality and safety in the whole industry chain, such as production, processing, circulation, sales and traceability. Challenges and trends of agricultural products quality and safety in the future were also discussed.

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“…Wireless Sensors Networks (WSNs) have emerged as a promising research domain and have been used in a wide variety of applications [1]. They have been used in health field [2,3] , Environmental field [4,5,6], and smart home-field [7]. By means of this recent technology, it becomes possible to interact with the surrounding environment through the use of multiple tiny sensors.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Weighted Clustering Algorithm Minimizing Jointly the Costs of Mission and Communication in Wireless Sensor Network

Ouchitachen¹,

Haïr²,

Idrissi³

2015

IJCA

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Wireless sensor networks (WSNs) have recently gained the attention of researchers in many challenging aspects. The energy conservation is one of the most important issues in these networks. Due to the limited access to the nodes, both the network structure and the manner of communication between the nodes decide the energy expenditure in WSNs. One of the best solutions, in this context, is to cluster the network. This paper presents a new clustering algorithm for solving the energetic constraint in WSNs. More precisely, a critical network is considered, where each sensor satisfies its own missions depending on its locations. In addition to fulfill their mission, the sensor tries to maintain a good neighboring nodes quality. First, the mission and communication costs of sensors are minimized jointly using Sensor's Genetic Algorithm (SGA), then the Multi-Objective Weighted Clustering Algorithm (MOWCA) is developed. It aims at dividing a network into different clusters and at selecting the best performing sensors in terms of power to communicate with the Base Station (BS). MOWCA is based on tree critical parameters. : Degree Difference of sensor i, : Sum of distances between sensor i and its neighbors and : Mission distance of sensor i. Later on and in order to balance energy consumed in different formed clusters, the Base Station Genetic Algorithm (BGA) is established. Simulation results demonstrate that the proposed algorithms are very advantageous in terms of convergence to the appropriate locations and are so efficient in regards to energy conservation in WSNs.

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Fire Detection Systems in Wireless Sensor Networks

Cited by 29 publications

References 4 publications

An OCARI-Based Wireless Sensor Network for Heat Measurements during Outdoor Fire Experiments

An OCARI-Based Wireless Sensor Network for Heat Measurements during Outdoor Fire Experiments

Mini-review of application of IoT technology in monitoring agricultural products quality and safety

Multi-Objective Weighted Clustering Algorithm Minimizing Jointly the Costs of Mission and Communication in Wireless Sensor Network

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