RECOD: reliable detection protocol for large-scale and dynamic continuous objects in wireless sensor networks

Whether individual objects such as enemy tanks or intruders have been reliably detected typically depends on the number of data reports successfully delivered to a sink node from the sensor nodes surrounding the object. When the number of data reports exceeds a required threshold, the sink recognize...

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Veröffentlicht in:Wireless networks 2019-10, Vol.25 (7), p.4193-4213
Hauptverfasser: Yim, Yongbin, Park, Soochang, Lee, Euisin, Nam, Ki-Dong, Kim, Cheonyong, Kim, Sang-Ha
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container_end_page 4213
container_issue 7
container_start_page 4193
container_title Wireless networks
container_volume 25
creator Yim, Yongbin
Park, Soochang
Lee, Euisin
Nam, Ki-Dong
Kim, Cheonyong
Kim, Sang-Ha
description Whether individual objects such as enemy tanks or intruders have been reliably detected typically depends on the number of data reports successfully delivered to a sink node from the sensor nodes surrounding the object. When the number of data reports exceeds a required threshold, the sink recognizes the object that is detected by sensor nodes. Thus, previous studies exploited this framework for reliable detection as event reliability for individual objects, and proposed event-to-sink reliable-transport mechanisms that can reach a required threshold. Recently, in wireless sensor networks, research has focused on coverage detection for large-scale phenomena such as biochemical material and wild fires. Such phenomena are known as continuous objects because they generally cover wide areas and frequently change their shape as a result of wind or geographical features. Since continuous objects are large-scale and alterable, they present new challenges for the event reliability. In this paper, we first define new criteria for measuring the event reliability of large-scale phenomena. Then, we propose a novel event-to-sink transport protocol that is reliable, even when excessive data is generated from many sensor nodes detecting these phenomena. Analysis and simulation results demonstrate the event reliability of our protocol.
doi_str_mv 10.1007/s11276-019-02041-3
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subjects Communications Engineering
Computer Communication Networks
Electrical Engineering
Engineering
IT in Business
Networks
Nodes
Object recognition
Reliability analysis
Remote sensors
Sensors
Transport
Wildfires
Wireless networks
Wireless sensor networks
title RECOD: reliable detection protocol for large-scale and dynamic continuous objects in wireless sensor networks
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