Abstract
As new mobile base stations (mBSs) have been constantly developed with various capacities, mobile coverage, and mobility models, the level of heterogeneity in public safety networks (PSNs) has been increasing. Since disasters and emergencies require the ad hoc PSN deployments, dynamic mBS placement and movement algorithm is one of the most important decisions to provide the critical communication channels for first responders (FRs). In this paper, we propose a heterogeneous mBS placement algorithm in an ad hoc public safety network. We define different classes of mobile base stations that have varying performance characteristics and consider three different FRs mobility models. Our proposed algorithm applies the modern clustering technique to deal with the characteristics of different kinds of mBSs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nationwide Public Safety Broadband Network (NPSBN) QoS Priority and Preemption (QPP) Framework, November 2015. [FirstNet CTO Whitepaper]
Rouil, R., Izquierdo, A., Souryal, M., Gentile, C., Griffith, D., Golmie, N.: Nationwide safety: nationwide modeling for broadband network services. IEEE Veh. Technol. Mag. 8, 83–91 (2013)
Li, X., Guo, D., Yin, H., Wei, G.: Drone-assisted public safety wireless broadband network. In: 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), pp. 323–328, March 2015
Shen, C., Yun, M., Arora, A., Choi, H.-A.: Efficient mobile base station placement for first responders in public safety networks. In: Arai, K., Bhatia, R. (eds.) FICC 2019. LNNS, vol. 70, pp. 634–644. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-12385-7_46
Hu, R.Q., Qian, Y.: Resource Management for Heterogeneous Networks in LTE Systems. Springer, New York (2014). https://doi.org/10.1007/978-1-4939-0372-6
(2016). https://firstnet.gov
Gomez, K., Hourani, A., Goratti, L., Riggio, R., Kandeepan, S., Bucaille, I.: Capacity evaluation of aerial LTE base-stations for public safety communications. In: 2015 European Conference on Networks and Communications (EuCNC), pp. 133–138, June 2015
Li, X.: Deployment of drone base stations for cellular communication without apriori user distribution information. In: 2018 37th Chinese Control Conference (CCC), pp. 7274–7281 (2018)
Jiang, F., Swindlehurst, A.L.: Optimization of UAV heading for the ground-to-air uplink. IEEE J. Sel. Areas Commun. 30, 993–1005 (2012)
Merwaday, A., Guvenc, I.: UAV assisted heterogeneous networks for public safety communications. In: 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), pp. 329–334, March 2015
Al-Hourani, A., Kandeepan, S., Lardner, S.: Optimal LAP altitude for maximum coverage. IEEE Wirel. Commun. Lett. 3, 569–572 (2014)
Huang, H., Savkin, A.V., Ding, M., Kâafar, M.A.: Optimized deployment of autonomous drones to improve user experience in cellular networks. CoRR, vol. abs/1712.02124 (2017)
Zeng, Y., Zhang, R.: Energy-efficient UAV communication with trajectory optimization. IEEE Trans. Wirel. Commun. 16, 3747–3760 (2017)
Pregler, A.: Extreme Connections. AT&T innovation Blog, May 2018. http://about.att.com/innovationblog/extreme_connections
Fotouhi, A., Ding, M., Hassan, M.: Flying drone base stations for macro hotspots. IEEE Access 6, 19530–19539 (2018)
Lin, X., Ganti, R.K., Fleming, P.J., Andrews, J.G.: Towards understanding the fundamentals of mobility in cellular networks. IEEE Trans. Wirel. Commun. 12, 1686–1698 (2013)
Ghazzai, H., Yaacoub, E., Alouini, M., Dawy, Z., Abu-Dayya, A.: Optimized LTE cell planning with varying spatial and temporal user densities. IEEE Trans. Veh. Technol. 65, 1575–1589 (2016)
(2018). http://about.att.com/story/firstnet_connected_bubble.html
Batabyal, S., Bhaumik, P.: Mobility models, traces and impact of mobility on opportunistic routing algorithms: a survey. IEEE Commun. Surv. Tutor. 17, 1679–1707 (2015)
Nelson, S.C., Harris III., A.F., Kravets, R.: Event-driven, role-based mobility in disaster recovery networks. In: Proceedings of the Second ACM Workshop on Challenged Networks, CHANTS 2007, New York, NY, USA, pp. 27–34. ACM (2007)
Hong, X., Gerla, M., Pei, G., Chiang, C.-C.: A group mobility model for ad hoc wireless networks. In: Proceedings of the 2nd ACM International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 1999, New York, NY, USA, pp. 53–60. ACM (1999)
Arthur, D., Vassilvitskii, S.: K-means++: the advantages of careful seeding. In: Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Shen, C., Yun, M., Arora, A., Choi, HA. (2019). Dynamic Placement Algorithm for Multiple Classes of Mobile Base Stations in Public Safety Networks. In: Kliks, A., et al. Cognitive Radio-Oriented Wireless Networks. CrownCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-030-25748-4_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-25748-4_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-25747-7
Online ISBN: 978-3-030-25748-4
eBook Packages: Computer ScienceComputer Science (R0)