Energy Saving Supply System Design Based on Wireless Sensor Network

DOI

10.2991/emim-17.2017.323How to use a DOI?

Keywords

Wireless sensor network; Energy storage sensor node; Optimal path tree; Energy consumption analysis

Abstract

Wireless sensor network (WSN) is a new generation of sensor networks, which has an extensive application prospect, but the energy limitation of sensor nodes is a key issue of WSN. This paper designs a kind of energy saving supply system which is applied to WSN. The system makes full use of the electric energy to charge up and restore the electric energy into battery. When a network node (or key node) in the system needs to be charged, the system makes use of the routing algorithm to find an optimal power supply path to charge the node in the way of wireless charging. Firstly, the system divided sensor nodes into two types: common type and energy storage type. Secondly, according to the distribution of wireless sensor nodes in the system, the sensor nodes are divided into different areas for management and the energy management area centering on energy storage sensor nodes is established. Energy transfer path between sensor nodes among the whole network will be stored in an energy storage sensor node in the form of an optimal path tree (SPF tree) or its branch so as to achieve energy coverage for all sensor nodes. Finally, the problem of energy consumption of the system is analyzed and some solutions are put forward to extend the service life of WSN. For this system, there are still a lot of work to be done in the further optimization of energy management strategy and the further reduction of energy consumption. Further research on these problems is expected to be done in the future.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hao Sun
PY  - 2017/04
DA  - 2017/04
TI  - Energy Saving Supply System Design Based on Wireless Sensor Network
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1596
EP  - 1600
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.323
DO  - 10.2991/emim-17.2017.323
ID  - Sun2017/04
ER  -