TY - JOUR
T1 - Efficient Aerial Data Collection with UAV in Large-Scale Wireless Sensor Networks
AU - Wang, Chengliang
AU - Ma, Fei
AU - Yan, Junhui
AU - De, Debraj
AU - Das, Sajal K.
N1 - Publisher Copyright:
© 2015 Chengliang Wang et al.
PY - 2015
Y1 - 2015
N2 - Data collection from deployed sensor networks can be with static sink, ground-based mobile sink, or Unmanned Aerial Vehicle (UAV) based mobile aerial data collector. Considering the large-scale sensor networks and peculiarity of the deployed environments, aerial data collection based on controllable UAV has more advantages. In this paper, we have designed a basic framework for aerial data collection, which includes the following five components: deployment of networks, nodes positioning, anchor points searching, fast path planning for UAV, and data collection from network. We have identified the key challenges in each of them and have proposed efficient solutions. This includes proposal of a Fast Path Planning with Rules (FPPWR) algorithm based on grid division, to increase the efficiency of path planning, while guaranteeing the length of the path to be relatively short. We have designed and implemented a simulation platform for aerial data collection from sensor networks and have validated performance efficiency of the proposed framework based on the following parameters: time consumption of the aerial data collection, flight path distance, and volume of collected data.
AB - Data collection from deployed sensor networks can be with static sink, ground-based mobile sink, or Unmanned Aerial Vehicle (UAV) based mobile aerial data collector. Considering the large-scale sensor networks and peculiarity of the deployed environments, aerial data collection based on controllable UAV has more advantages. In this paper, we have designed a basic framework for aerial data collection, which includes the following five components: deployment of networks, nodes positioning, anchor points searching, fast path planning for UAV, and data collection from network. We have identified the key challenges in each of them and have proposed efficient solutions. This includes proposal of a Fast Path Planning with Rules (FPPWR) algorithm based on grid division, to increase the efficiency of path planning, while guaranteeing the length of the path to be relatively short. We have designed and implemented a simulation platform for aerial data collection from sensor networks and have validated performance efficiency of the proposed framework based on the following parameters: time consumption of the aerial data collection, flight path distance, and volume of collected data.
UR - http://www.scopus.com/inward/record.url?scp=84949219407&partnerID=8YFLogxK
U2 - 10.1155/2015/286080
DO - 10.1155/2015/286080
M3 - Article
AN - SCOPUS:84949219407
SN - 1550-1329
VL - 2015
JO - International Journal of Distributed Sensor Networks
JF - International Journal of Distributed Sensor Networks
M1 - 286080
ER -