Abstract
This paper describes the design and implementation of a heterogeneous multi-agent system consisting of a wireless sensor network and a mobile agent (UAV) for automatic network deployment and data collection beyond the communication range of individual sensors in the network. A UAV is able to transport and release sensors at specific locations that might be dangerous or inaccessible to humans. The network can be deployed fast when manual placement is a risk. The measured data is likewise automatically collected by a UAV following an optimal route obtained by solving the Vehicle Routing Problem (VRP) that covers all sensor locations. Since the route of the UAV is pre-planned, sensor nodes are able to turn on the radio interface exactly when the UAV is close by and thus save energy. More precisely, the power consumption of the sensor node is improved in two ways: (i) multihop routing is not required, which saves battery life in sensors, and (ii) the transmission power can be reduced because the UAV is able to go near the sensor. The whole system was tested in an outdoor experiment showing promising results.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
Google Optimization Tools, February 2018, https://developers.google.com/optimization/.
References
Abdelhakim, M., Liang, Y., Li, T.: Mobile access coordinated wireless sensor networks - design and analysis. IEEE Trans. Signal Inf. Process. Netw. 3(1), 172–186 (2017)
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–105 (2002)
Anagnostopoulos, T., Zaslavsky, A., Kolomvatsos, K., Medvedev, A., Amirian, P., Morley, J., Hadjieftymiades, S.: Challenges and opportunities of waste management in IoT-enabled smart cities: a survey. IEEE Trans. Sustain. Comput. 2(3), 275–289 (2017)
Cao-hoang, T., Duy, C.N.: Environment monitoring system for agricultural application based on wireless sensor network. In: 2017 Seventh International Conference on Information Science and Technology (ICIST), pp. 99–102, April 2017
Chen, C., Jun-ming, X., Hui-fang, G.: Polluted water monitoring based on wireless sensor. In: 2011 International Conference on Electronics, Communications and Control (ICECC), pp. 961–963, September 2011
Gea, T., Paradells, J., Lamarca, M., Roldn, D.: Smart cities as an application of internet of things: experiences and lessons learnt in Barcelona. In: 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 552–557, July 2013
Lin, C., Choy, K., Ho, G., Chung, S., Lam, H.: Survey of green vehicle routing problem: past and future trends. Expert Syst. Appl. 41(4), 1118–1138 (2014)
Mergen, G., Zhao, Q., Tong, L.: Sensor networks with mobile access: energy and capacity considerations. IEEE Trans. Commun. 54(11), 2033–2044 (2006)
Ojha, T., Misra, S., Raghuwanshi, N.S.: Wireless sensor networks for agriculture: the state-of-the-art in practice and future challenges. Comput. Electron. Agric. 118(Suppl C), 66–84 (2015). http://www.sciencedirect.com/science/article/pii/S0168169915002379
Polo, J., Hornero, G., Duijneveld, C., Garca, A., Casas, O.: Design of a low-cost wireless sensor network with UAV mobile node for agricultural applications. Comput. Electron. Agric. 119(Suppl C), 19–32 (2015). http://www.sciencedirect.com/science/article/pii/S0168169915002999
Tong, L., Zhao, Q., Adireddy, S.: Sensor networks with mobile agents. In: IEEE Military Communications Conference 2003, MILCOM 2003, vol. 1, pp. 688–693, October 2003
Toth, P., Vigo, D.: The Vehicle Routing Problem. SIAM, Philadelphia (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Marchal Gomez, J., Wiedemann, T., Shutin, D. (2019). Unmanned Aerial Vehicles in Wireless Sensor Networks: Automated Sensor Deployment and Mobile Sink Nodes. In: Strand, M., Dillmann, R., Menegatti, E., Ghidoni, S. (eds) Intelligent Autonomous Systems 15. IAS 2018. Advances in Intelligent Systems and Computing, vol 867. Springer, Cham. https://doi.org/10.1007/978-3-030-01370-7_73
Download citation
DOI: https://doi.org/10.1007/978-3-030-01370-7_73
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01369-1
Online ISBN: 978-3-030-01370-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)