A delay-aware reliable event reporting framework for wireless sensor–actuator networks

Ngai, Edith C.-H.; Zhou, Yangfan; Lyu, Michael R.; Liu, Jiangchuan

doi:10.1016/j.adhoc.2010.01.004

Cited by 30 publications

(27 citation statements)

References 42 publications

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“…Ngai et al proposed a general reliability-centric framework for event reporting in WSNs which is also applicable to forest fire detection systems [16]. They consider the accuracy, importance and freshness of the reported data in environmental event detection systems.…”

Section: Doolin and Sitar Performed Several Experiments Through Contmentioning

confidence: 99%

A framework for use of wireless sensor networks in forest fire detection and monitoring

Aslan

Korpeoglu

Ulusoy

2012

Computers, Environment and Urban Systems

245

124

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Wireless sensor networks have a broad range of applications in the category of environmental monitoring. In this thesis, we consider the problem of forest fire detection and monitoring as a possible application area of wireless sensor networks. Forest fires are one of the main causes of environmental degradation nowadays. The current surveillance systems for forest fires lack in supporting real-time monitoring of every point of the region at all time and early detection of the fire threats. Solutions using wireless sensor networks, on the other hand, can gather temperature and humidity values from all points of field continuously, day and night, and, provide fresh and accurate data to the fire fighter center quickly. However, sensor networks and nodes face serious obstacles like limited energy resources and high vulnerability to harsh environmental conditions, that have to be considered carefully.In our study, we propose a comprehensive framework for the use of wireless sensor networks for forest fire detection and monitoring. Our framework includes proposals for the wireless sensor network architecture, clustering and communication protocols, and environment/season-aware activity-rate selection schemes to detect the fire threat as early as possible and yet consider the energy consumption of the sensor nodes and the physical conditions that may hinder the activity of the network. We also implemented a simulator to validate and evaluate our proposed framework, which is using an external fire simulator library. We did extensive simulation experiments and observed that our framework can provide fast reaction to forest fires while also consuming energy efficiently. Kablosuz duyarga agları kullanılarak dogal ortamların izlenmesiüzerine biŗ cok uygulama alanı geliştirilmiştir. Bu tezçalışmamızda, bizler de orman yangınlarının erken tespitinde ve yangının izlenmesi sürecinde kablosuz duyarga aglarını kullanarak bir sistem tasarladık. Orman yangınları dünyadaçevresel tahribata neden olan başlıca sebeplerden biridir. Şu anki yangın gözetleme ve takip sistemleri ormanları anlık olarak bütünüyle izleme ve olası bir yangın tehlikesiniönceden tespit etme konusunda başarısız olmaktadır.Öte yandan, kablosuz duyarga aglarını kullanarak geliştirilençözümler sıcaklık ve nem degerlerini, anlık olarak, sahanın farklı noktalarından, gece ve gündüz farketmeksizin sürekli olarak alabilmekte ve de merkezi birimlere taze ve güvenilir bilgi sunabilmektedir. Fakat, duyarga aglarında kullanılan duyarga dügümleri kısıtlı enerji kaynaklarına sahiptir ve zorlu dış koşullara karşı dayanıklı degillerdir. Geliştirilen uygulamalarda bu engellerin dikkatli birşekilde ele alınması gereklidir.Tezçalışmamızda kablosuz duyarga aglarını kullanarak orman yangınlarını erken tespit etmek ve izleyebilmek amacıyla geniş kapsamlı bir sistem geliştirdik. Sundugumuz sistem kablosuz duyarga aglarıyla ilgili bir ag altyapısı, dügümlerin ormana yerleştirilmesi ile ilgiliözel bir mekanizma ve dügümlerin küme içi ve kümeler arası iletişim protokollerini içermektedi...

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Section: Doolin and Sitar Performed Several Experiments Through Contmentioning

confidence: 99%

A framework for use of wireless sensor networks in forest fire detection and monitoring

Aslan

Korpeoglu

Ulusoy

2012

Computers, Environment and Urban Systems

245

124

View full text Add to dashboard Cite

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“…(5) and Eq. (6) show that the sensor nodes in set S A i will transmit the sensing data to A i , while the actuator nodes in set S S j will influence the plant state monitored by S j . In WSANs, the sensor and actuator nodes are usually linked with wireless medium, since the actuator nodes are connected with each other directly and much more powerful than the ordinary sensor nodes, communication delay between S-A become a general problem of such network control system [14].…”

Section: System Modelsmentioning

confidence: 99%

“…The work given in [5] presents a real-time architecture for automated WSANs, the delay bound of S-A communication is maintained by the distributed mechanisms for S-A event reporting and self-aware coordination. In [6] a general reliability-centric framework for event reporting in WSANs is proposed, which contains an fault-tolerant event data aggregation algorithm and a delay-aware data transmission protocol. In [7], the authors study the model-based predictive networked control systems that compensate random delays and data loss of the communication, and use a predictive control scheme to avoid performance loss.…”

Section: Introductionmentioning

confidence: 99%

Distributed Collaborative Processing under Communication Delay over Wireless Sensor and Actuator Networks

2014

INT J COMPUT COMMUN

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Abstract:In wireless sensor and actuator networks (WSANs), the sensor nodes are involved in gathering information about the physical phenomenon, while the actuator nodes take decisions and then perform appropriate actions upon the environment. The collaborative operation of sensor and actuator nodes brings significant advantages over WSNs, including improved accuracy and timely actions upon the sensed phenomena. However, unreliable wireless communication and finding a proper control strategy cause challenges in designing such network control system. In order to accomplish effective sensing and acting tasks, efficient coordination mechanisms among different nodes are required. In this paper, the coordination and communication problems in WSANs are studied. First, we formulate the mathematical models for the WSANs system. Then, a predictor-controller algorithm based on distributed estimation is adopted to mitigate the effects of network-induced delay. Finally, we apply a collaborative processing mechanism to meet the desired system requirements and improve the overall control performance. This approach will group the sensor and actuator nodes to work in parallel so as to reduce the computation complexity and enhance the system reacting time. Simulation results demonstrate the effectiveness of our proposed method.

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“…Ngai et al [25] provide a general reliability-centric framework for event reporting in wireless sensor networks which can also be used in forest fire detection systems. They consider the accuracy, importance, and freshness of the reported data in environmental event detection systems.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

A Review on Forest Fire Detection Techniques

Alkhatib

2014

International Journal of Distributed Sensor Networks

301

147

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Context. Apart from causing tragic loss of lives and valuable natural and individual properties including thousands of hectares of forest and hundreds of houses, forest fires are a great menace to ecologically healthy grown forests and protection of the environment. Every year, thousands of forest fires across the globe cause disasters beyond measure and description. This issue has been the research interest for many years; there are a huge amount of very well studied solutions available out there for testing or even ready for use to resolve this problem. Aim. This work will summarise all the technologies that have been used for forest fire detection with exhaustive surveys of their techniques/methods used in this application. Methods. A lot of methods and systems are available in the market and for research. The paper reviews all the methods and discusses examples of research experiment results and some market product methods for better understanding. Result. Each technique has its own advantages and disadvantages. A full discussions provided after each type. Conclusion. A full table is provided at the end to summarise a comparison between the four methods.

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A delay-aware reliable event reporting framework for wireless sensor–actuator networks

Cited by 30 publications

References 42 publications

A framework for use of wireless sensor networks in forest fire detection and monitoring

A framework for use of wireless sensor networks in forest fire detection and monitoring

Distributed Collaborative Processing under Communication Delay over Wireless Sensor and Actuator Networks

A Review on Forest Fire Detection Techniques

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