@INPROCEEDINGS{6720336, 
author={L. Wang and M. Liu and M. Q. H. Meng}, 
booktitle={2013 IEEE International Conference on Information and Automation (ICIA)}, 
title={An auction-based resource allocation strategy for joint-surveillance using networked multi-robot systems}, 
year={2013}, 
volume={}, 
number={}, 
pages={424-429}, 
abstract={Networked multi-robot systems benefit from a large amount of heterogeneous online data on the server, and enable poor-equipped robots to fulfill complex tasks. However, as a major bottleneck of practical network, the limited bandwidth is lack of consideration. In the matter of fact, resource competition is pervasive for practical networked robotic applications. We propose a multi-robot negotiation mechanism in this paper. It includes a game theory based auction for allocating resources that are shared among robot clients, such as the network bandwidth. We validate the proposed strategy by a joint-surveillance scenario. Experimental results demonstrate that the proposed framework achieves excellent Quality of Service (QoS) performance under the condition of resource competition, where a shared network with limited bandwidth is optimized.}, 
keywords={game theory;multi-robot systems;quality of service;resource allocation;surveillance;QoS performance;auction-based resource allocation strategy;game theory based auction;heterogeneous online data;joint surveillance scenario;multirobot negotiation mechanism;network bandwidth;networked multirobot systems;networked robotic applications;poor-equipped robots;quality of service performance;resource competition;robot clients;shared network;Bandwidth;Multi-robot systems;Protocols;Quality of service;Resource management;Robot sensing systems}, 
doi={10.1109/ICInfA.2013.6720336}, 
ISSN={}, 
month={Aug},}