Abstract
This paper considers a scenario where multiple sensing robots are deployed to monitor the indoor environments, and transmit the monitored data to the base station. In order to ensure favorable surveillance quality, we aim at achieving a high throughput for the multi-robot system. We firstly establish the stochastic wireless channel model and derive the expression of the throughput. Then, we propose the non-collaborative and collaborative communication strategies, both adopting the joint frequency-rate adaptation based on the stochastic channel model. The experimental results have shown that the throughput can be largely improved with the collaboration between robots. Furthermore, considering our surveillance scenario is approximate time-invariant (ATI), we propose the joint frequency-rate communication strategies based on proactive channel measurements, and the effectiveness of the strategies is validated by experimental results.
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References
Olfati-Saber, R., Fax, J.A., Murray, R.M.: Consensus and cooperation in networked multi-agent systems. Proc. IEEE 95(1), 215–233 (2007)
Yan, Y., Mostofi, Y.: To go or not to go: on energy-aware and communication-aware robotic operation. IEEE Trans. Control Netw. Syst. 1(3), 218–231 (2014)
Fink, J., Ribeiro, A., Kumar, V.: Robust control for mobility and wireless communication in cyber-physical systems with application to robot teams. Proc. IEEE 100(1), 164–178 (2012)
Yan, Y., Mostofi, Y.: Co-optimization of communication and motion planning of a robotic operation under resource constraints and in fading environments. IEEE Trans. Wirel. Commun. 12(4), 1562–1572 (2013)
Han, B., Li, J., Su, J., Cao, J.: Self-supported cooperative networking for emergency services in multi-hop wireless networks. IEEE J. Sel. Areas Commun. 30(2), 450–457 (2012)
Liang, W., Luo, J., Xu, X.: Network lifetime maximization for time-sensitive data gathering in wireless sensor networks with a mobile sink. Wirel. Commun. Mob. Comput. 13(14), 1263–1280 (2013)
Lindhé, M., Johansson, K.H.: Using robot mobility to exploit multipath fading. IEEE Wirel. Commun. 16(1), 30–37 (2009)
Malmirchegini, M., Mostofi, Y.: On the spatial predictability of communication channels. IEEE Trans. Wirel. Commun. 11(3), 964–978 (2012)
Liu, Q., Zhou, S., Giannakis, G.B.: Cross-layer combining of adaptive modulation and coding with truncated ARQ over wireless links. IEEE Trans. Wirel. Commun. 3(5), 1746–1755 (2004)
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wu, Y., Zhang, B., Yi, X., Tang, Y. (2017). Collaborative Communication in Multi-robot Surveillance Based on Indoor Radio Mapping. In: Wang, S., Zhou, A. (eds) Collaborate Computing: Networking, Applications and Worksharing. CollaborateCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-319-59288-6_19
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DOI: https://doi.org/10.1007/978-3-319-59288-6_19
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