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A Data Forwarding Approach for Fire-Rescue Scenario with Multi-Type Mobile Nodes
Joint Authors
Liu, Linfeng
Zhou, Ping
Wu, Jiagao
Wang, Ran
Fan, Xiaojun
Zhu, Haiting
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-04
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
The opportunistic mobile sensor network has been extensively applied in various public safety applications such as the fire rescue and earthquake rescue, since it can provide a surveillance range with an inexpensive cost and avoid the dangers of humans staying in risk zones.
However, due to some environmental events such as building structure damage, airflow push, and fire explosions, the sensor nodes sprinkled into the fire-rescue scenario may be kept moving.
Thus, the contacts between nodes become momentary, and the data packets cannot be forwarded along stable communication paths.
To this end, the opportunistic forwarding manner is adopted in the fire-rescue scenario to enable the data packets to be transferred to the rescue control center (RCC) through some discrete hops.
The contributions of this paper are threefold.
First, the nodes in the fire-rescue scenario are carefully investigated and classified into four types: small-range mobile nodes (SRNs), large-range mobile nodes (LRNs), firefighter nodes (FNs), and robot nodes (RNs).
Second, we formulate the data forwarding problem, and the optimal proportions of SRNs, LRNs, and FNs in data holders are mathematically analyzed to obtain the maximum delivery ratio.
Third, a data forwarding approach for fire-rescue scenario (DFAFR) is proposed.
In DFAFR, the optimal proportions of SRNs, LRNs, and FNs in data holders are maintained as far as possible through selecting different types of data holder candidates, and then the new data holders are determined from these data holder candidates and the adjacent RNs on basis of their expected delivery delay.
Finally, the performance of DFAFR is analyzed through simulations of the fire-rescue scenario, and the results indicate that DFAFR can enhance the delivery ratio and shorten the delivery delay while the forwarding overhead is restricted.
American Psychological Association (APA)
Liu, Linfeng& Zhou, Ping& Wu, Jiagao& Wang, Ran& Fan, Xiaojun& Zhu, Haiting. 2019. A Data Forwarding Approach for Fire-Rescue Scenario with Multi-Type Mobile Nodes. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1212101
Modern Language Association (MLA)
Liu, Linfeng…[et al.]. A Data Forwarding Approach for Fire-Rescue Scenario with Multi-Type Mobile Nodes. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1212101
American Medical Association (AMA)
Liu, Linfeng& Zhou, Ping& Wu, Jiagao& Wang, Ran& Fan, Xiaojun& Zhu, Haiting. A Data Forwarding Approach for Fire-Rescue Scenario with Multi-Type Mobile Nodes. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1212101
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212101