Title :
Maximizing Throughput of UAV-Relaying Networks with the Load-Carry-and-Deliver Paradigm
Author :
Cheng, Chen-Mou ; Hsiao, Pai-Hsiang ; Kung, H.T. ; Vlah, Dario
Author_Institution :
Sch. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA
Abstract :
We consider the task of using one or more unmanned aerial vehicles (UAVs) to relay messages between two distant ground nodes. For delay-tolerant applications like latency-insensitive bulk data transfer, we seek to maximize throughput by having a UAV load from a source ground node, carry the data while flying to the destination, and finally deliver the data to a destination ground node. We term this the "load-carry-and-deliver" (LCAD) paradigm and compare it against the conventional multi-hop, store-and-forward paradigm. We identify and analyze several of the most important factors in constructing a throughput-maximizing framework subject to constraints on both application allowable delay and UAV maneuverability. We report performance measurement results for IEEE 802.11g devices in three flight tests, based on which we derive a statistical model for predicting throughput performance for LCAD. Due to the nature of commercial off-the-shelf systems, this methodology is of essential importance for allowing better flight-path design to achieve high throughput.
Keywords :
IEEE standards; radio links; remotely operated vehicles; IEEE 802.11g devices; UAV-relaying networks; destination ground node; distant ground nodes; load-carry-and-deliver paradigm; source ground node; statistical model; unmanned aerial vehicles; Communication system control; Communications Society; Delay; Government; Interference; Peer to peer computing; Relays; Throughput; Unmanned aerial vehicles; Wireless LAN;
Conference_Titel :
Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
Conference_Location :
Kowloon
Print_ISBN :
1-4244-0658-7
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2007.805