Abstract
One of the main issues in rechargeable wireless sensor networks (RWSNs) is the stainability of network operation. Recently, wireless power transmission technology has been applied in RWSNs to transmit wireless power from chargers to sensor nodes. In this paper, we focus on how a charger changes its direction to cover different nodes for energy provisioning and, how to sense maximum data from the area of network. We intend to tackle the challenge that how to cover different nodes from each direction so that the charger can provide maximum power to maintain network performance. In this regard, a direction scheduling algorithm is proposed to fill the charging demand. Furthermore, a proposed Linear Programming based solution is proposed to determine maximum data sensing rate. The simulation results show that the proposed method performs better compared with existing methods.
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
Hodge, V.J., et al.: Wireless sensor networks for condition monitoring in the railway industry: a survey. IEEE Trans. Intell. Transp. Syst. 16(3), 1088–1106 (2015)
Wan, Z.G., Tan, Y.K., Yuen, C.: Review on energy harvesting and energy management for sustainable wireless sensor networks. In: 2011 IEEE 13th International Conference on Communication Technology (ICCT). IEEE (2011)
Kim, S., et al.: Ambient RF energy-harvesting technologies for self-sustainable standalone wireless sensor platforms. Proc. IEEE 102(11), 1649–1666 (2014)
Hsu, J., Kansal, A., Srivastava, M.: Energy Harvesting Support for Sensor Networking (2004)
Raghunathan, V., et al.: Design considerations for solar energy harvesting wireless embedded systems. In: 2005 Fourth International Symposium on Information Processing in Sensor Networks, IPSN 2005. IEEE (2005)
Park, C., Chou, P.H.: Ambimax: autonomous energy harvesting platform for multi-supply wireless sensor nodes. In: 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, SECON 2006, vol. 1. IEEE (2006)
Tong, B., et al.: How wireless power charging technology affects sensor network deployment and routing. In: 2010 IEEE 30th International Conference on Distributed Computing Systems (ICDCS). IEEE (2010)
He, S., et al.: Energy provisioning in wireless rechargeable sensor networks. IEEE Trans. Mobile Comput. 12(10), 1931–1942 (2013)
Bogdanov, A., Maneva, E., Riesenfeld, S.: Power-aware base station positioning for sensor networks. In: INFOCOM 2004, Twenty-Third Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 1. IEEE (2004)
Chiu, T.C., et al.: Mobility-aware charger deployment for wireless rechargeable sensor networks. In: 2012 14th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE (2012)
Jian, W.-J., et al.: Movable-charger-based planning scheme in wireless rechargeable sensor networks. In: 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE (2015)
Li, S.-L., et al.: A power balance aware wireless charger deployment method for complete coverage in wireless rechargeable wireless sensor network. Sensors (Basel, Switzerland) 18(6), 1–13 (2016). 06/2018
Acknowledgment
This work was supported in part by the National Natural Science Foundation of China under grant 61702452, in part by the China Post-Doctoral Science Foundation under Grant 2018M630675, and in part by the Ministry of Educations Key Lab for Computer Network and Information Integration, Southeast University, China.
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
Batool, S., Tong, F., Li, S., He, S. (2019). Direction Based Charging in Rechargeable Wireless Sensor Network. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_41
Download citation
DOI: https://doi.org/10.1007/978-3-030-14657-3_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-14656-6
Online ISBN: 978-3-030-14657-3
eBook Packages: Computer ScienceComputer Science (R0)