DistressNet: a wireless ad hoc and sensor network architecture for situation management in disaster response

George, Stephen M.; Zhou, Wei; Chenji, Harsha; Won, Myounggyu; Lee, Yong Oh; Pazarloglou, Andria; Stoleru, Radu; Barooah, Prabir

doi:10.1109/mcom.2010.5434384

Cited by 227 publications

(111 citation statements)

References 10 publications

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“…Even when the sensing nodes are stationary, using mobile data collector or mobile sink is useful; DataMule [26] is an example of a mobile data collector that collects data from stationary sensor nodes. DistressNet [7] is another example that supports disaster response via distributed collaborative sensing for resource localization. In addition to terrestrial vehicle-based sensing (e.g., by cars), as mentioned previously, other new types of mobile sensing systems, such as those involving humans with smartphone, unmanned aerial vehicles (UAV), and field robots have attracted attention in recent years.…”

Section: Vanet Wsn and Scf Networkingmentioning

confidence: 99%

Towards Practical Store-Carry-Forward Networking: Examples and Issues

Tsuru

Takai

Kaneda

et al. 2017

IEICE Trans. Commun.

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SUMMARYIn the evolution of wireless networks such as wireless sensor networks, mobile ad-hoc networks, and delay/disruption tolerant networks, the Store-Carry-Forward (SCF) message relaying paradigm has been commonly featured and studied with much attention. SCF networking is essential for offsetting the deficiencies of intermittent and range limited communication environments because it allows moving wireless communication nodes to act as "mobile relay nodes". Such relay nodes can store/carry/process messages, wait for a better opportunity for transmission, and finally forward the messages to other nodes. This paper starts with a short overview of SCF routing and then examines two SCF networking scenarios. The first one deals with large content delivery across multiple islands using existing infrastructural transportation networks (e.g., cars and ferries) in which mobility is uncontrollable from an SCF viewpoint. Simulations show how a simple coding technique can improve flooding-based SCF. The other scenario looks at a prototype system of unmanned aerial vehicle (UAV) for high-quality video surveillance from the sky in which mobility is partially controllable from an SCF viewpoint. Three requisite techniques in this scenario are highlighted -fast link setup, millimeter wave communications, and use of multiple links. Through these examples, we discuss the benefits and issues of the practical use of SCF networking-based systems. key words: store-carry-forward, vehicular ad-hoc networks, wireless sensor networks, UAV, delay tolerant networks

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Section: Vanet Wsn and Scf Networkingmentioning

confidence: 99%

Towards Practical Store-Carry-Forward Networking: Examples and Issues

Tsuru

Takai

Kaneda

et al. 2017

IEICE Trans. Commun.

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“…SA is key to decision making in complex emergency response [1], [18], [19]. It is described by Endsley [20] as the 'perception of the elements in the environment within a volume of time and space, the comprehension of their meaning and the projection of their status in the near future', comprising Level 1 (identification of elements in the environment), Level 2 (interpretation of their meaning), and Level 3 (their future projection).…”

Section: The Need For Situation Awareness (Sa)mentioning

confidence: 99%

“…Implication in relation to a fire-in-tunnel incident [27]; adhoc networks for situation management [19]; monitoring location and vital signs of firefighters [28]; help with evacuation [29]; use of robots to introduce new sensors into a network [30].…”

Section: Network Propertymentioning

confidence: 99%

A user centred design evaluation of the potential benefits of advanced wireless sensor networks for fire-in-tunnel emergency response

May

Mitchell

Piper

2014

Fire Safety Journal

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“…Mobile sensors can provide improved coverage of pipes and nodes at a lower cost to municipalities. Our research is enabled by recent advances in wireless sensor network technologies and successful deployments of, mostly static, sensor network systems for military applications [9], emergency response [10] and habitat monitoring [11].…”

Section: Introductionmentioning

confidence: 99%

Towards Optimal Event Detection and Localization in Acyclic Flow Networks

Suresh

Stoleru

Denton

et al. 2012

Distributed Computing and Networking

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Abstract. Acyclic flow networks, present in many infrastructures of national importance (e.g., oil & gas and water distribution systems), have been attracting immense research interest. Existing solutions for detecting and locating attacks against these infrastructures, have been proven costly and imprecise, especially when dealing with large scale distribution systems. In this paper, to the best of our knowledge for the first time, we investigate how mobile sensor networks can be used for optimal event detection and localization in acyclic flow networks. Sensor nodes move along the edges of the network and detect events (i.e., attacks) and proximity to beacon nodes with known placement in the network. We formulate the problem of minimizing the cost of monitoring infrastructure (i.e., minimizing the number of sensor and beacon nodes deployed), while ensuring a degree of sensing coverage in a zone of interest and a required accuracy in locating events. We propose algorithms for solving these problems and demonstrate their effectiveness with results obtained from a high fidelity simulator.

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DistressNet: a wireless ad hoc and sensor network architecture for situation management in disaster response

Cited by 227 publications

References 10 publications

Towards Practical Store-Carry-Forward Networking: Examples and Issues

Towards Practical Store-Carry-Forward Networking: Examples and Issues

A user centred design evaluation of the potential benefits of advanced wireless sensor networks for fire-in-tunnel emergency response

Towards Optimal Event Detection and Localization in Acyclic Flow Networks

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