Abstract
Sensor networks are often used to understand underlying phenomena that are reflected through sensing data. In real world applications, this understanding supports decision makers attempting to access a disaster area or monitor a certain event regularly and thus necessary actions can be triggered in response to the problems. Practitioners designing such systems must overcome difficulties due to the practical limitations of the data and the fidelity of a network condition. This paper explores the design of a network solution for the data acquisition domain with the goal of increasing the efficiency of data gathering efforts. An unmanned aerial vehicle (UAV) is introduced to address various real-world sensor network challenges such as limited resources, lack of real-time representative data, and mobility of a relay station. Towards this goal, we introduce a novel cooperative path selection framework to effectively collect data from multiple sensor sources. The framework consists of six main parts ranging from the system initialization to the UAV data acquisition. The UAV data acquisition is useful to increase situational awareness or used as inputs for data manipulation that support response efforts. We develop a system-based simulation that creates the representative sensor networks and uses the UAV for collecting data packets. Results using our proposed framework are analyzed and compared to existing approaches to show the efficiency of the scheme.
| Original language | English |
|---|---|
| Pages (from-to) | 2156-2167 |
| Number of pages | 12 |
| Journal | IEICE Transactions on Communications |
| Volume | E99B |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2016 Oct 1 |
Fingerprint
Keywords
- Cooperative communication
- Data acquisition
- Data clustering
- Path selection framework
- Performance optimization
- Unmanned aerial vehicle
- Wireless sensor networks
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
Cooperative path selection framework for effective data gathering in UAV-aided wireless sensor networks. / Say, Sotheara; Ernawan, Mohamad Erick; Shimamoto, Shigeru.
In: IEICE Transactions on Communications, Vol. E99B, No. 10, 01.10.2016, p. 2156-2167.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Cooperative path selection framework for effective data gathering in UAV-aided wireless sensor networks
AU - Say, Sotheara
AU - Ernawan, Mohamad Erick
AU - Shimamoto, Shigeru
PY - 2016/10/1
Y1 - 2016/10/1
N2 - Sensor networks are often used to understand underlying phenomena that are reflected through sensing data. In real world applications, this understanding supports decision makers attempting to access a disaster area or monitor a certain event regularly and thus necessary actions can be triggered in response to the problems. Practitioners designing such systems must overcome difficulties due to the practical limitations of the data and the fidelity of a network condition. This paper explores the design of a network solution for the data acquisition domain with the goal of increasing the efficiency of data gathering efforts. An unmanned aerial vehicle (UAV) is introduced to address various real-world sensor network challenges such as limited resources, lack of real-time representative data, and mobility of a relay station. Towards this goal, we introduce a novel cooperative path selection framework to effectively collect data from multiple sensor sources. The framework consists of six main parts ranging from the system initialization to the UAV data acquisition. The UAV data acquisition is useful to increase situational awareness or used as inputs for data manipulation that support response efforts. We develop a system-based simulation that creates the representative sensor networks and uses the UAV for collecting data packets. Results using our proposed framework are analyzed and compared to existing approaches to show the efficiency of the scheme.
AB - Sensor networks are often used to understand underlying phenomena that are reflected through sensing data. In real world applications, this understanding supports decision makers attempting to access a disaster area or monitor a certain event regularly and thus necessary actions can be triggered in response to the problems. Practitioners designing such systems must overcome difficulties due to the practical limitations of the data and the fidelity of a network condition. This paper explores the design of a network solution for the data acquisition domain with the goal of increasing the efficiency of data gathering efforts. An unmanned aerial vehicle (UAV) is introduced to address various real-world sensor network challenges such as limited resources, lack of real-time representative data, and mobility of a relay station. Towards this goal, we introduce a novel cooperative path selection framework to effectively collect data from multiple sensor sources. The framework consists of six main parts ranging from the system initialization to the UAV data acquisition. The UAV data acquisition is useful to increase situational awareness or used as inputs for data manipulation that support response efforts. We develop a system-based simulation that creates the representative sensor networks and uses the UAV for collecting data packets. Results using our proposed framework are analyzed and compared to existing approaches to show the efficiency of the scheme.
KW - Cooperative communication
KW - Data acquisition
KW - Data clustering
KW - Path selection framework
KW - Performance optimization
KW - Unmanned aerial vehicle
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84989888562&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84989888562&partnerID=8YFLogxK
U2 - 10.1587/transcom.2016ATP0012
DO - 10.1587/transcom.2016ATP0012
M3 - Article
AN - SCOPUS:84989888562
VL - E99B
SP - 2156
EP - 2167
JO - IEICE Transactions on Communications
JF - IEICE Transactions on Communications
SN - 0916-8516
IS - 10
ER -