A Topology Model with Energy- and Location-awareness based on the Laws of Internal Evolution of the Wireless Sensor Network
- 10.2991/icmmcce-15.2015.354How to use a DOI?
- complex network, location-aware, energy-aware, node distribution, attachment delete.
In this paper, based on complex network theory, a topology model was proposed which is more accord with the nature of wireless sensor network. Actually, each node's actual location is crucial, in addition, the node energy consumption and communication distances between nodes are inseparable, so we tried to join location-aware mechanism into this wireless sensor network topology model with energy-aware mechanism. Besides, through theoretical analysis and simulation, we showed the influence on the network performance when the network have different node energy distribution and different node location distribution. Node energy distribution and node location distribution have a weak effect on the degree distribution , but which have much effect on the internal topological characterizations of the network. The node who has more energy will have more degrees to balance energy consumption, besides, when the node energy is more heterogeneous and node location is more centralized, the model showed that the network has higher clustering degree, and the network enjoys better performance in energy efficiency for transmitting data.
- © 2015, 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/).
Cite this article
TY - CONF AU - Dengchao Huang AU - Jing Fan AU - Junhua Chen PY - 2015/12 DA - 2015/12 TI - A Topology Model with Energy- and Location-awareness based on the Laws of Internal Evolution of the Wireless Sensor Network BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.354 DO - 10.2991/icmmcce-15.2015.354 ID - Huang2015/12 ER -