Wireless Sensor Networks Topology Model Based on Energy Consumption and Life Cycle

Authors

  • Ruo Jia Guizhou University of Commerce

DOI:

https://doi.org/10.3991/ijoe.v14i05.8642

Keywords:

wireless sensor networks, scale-free topology, fault tolerance, energy consump-tion, life cycle

Abstract


Regarding the disadvantages of Wireless Sensor Networks such as random node failure, imbalanced network energy consumption, and shorter life cycle etc., the paper proposes an improved evolving model with an overall integration of fault-tolerance topology and network energy consumption, as a fusion mechanism optimizing the original node degree, generation ability and node distance in the model; it also validates the advantages of the improved model in terms of network life cycle, residual energy of node, node spacing and fault tolerance etc. by comparing the model with the optimized model of traditional sensor. With the establishment of WSNs energy consumption model, the paper evaluates the network life cycle and analyses the influence of node spacing and residual energy of node on WSNs, by adopting which as the fitness functions of the model, a scale-free fault tolerance topology evolving model with link deletion mechanism is constructed. The simulation comparison shows that the topology structure of the improved model has significant scale-free characteristics, a balanced network energy consumption and a long network life cycle; it can also effectively increase the fault tolerance and intrusion tolerance of network.

Author Biography

Ruo Jia, Guizhou University of Commerce

Ruo Jia male (August 1977); Master of software engineering; lecturer; research direction: computer application, Internet of things applications. 18 years of teaching experience in program design and development, Compiled and published several textbooks, several articles are published in the public publication.

Downloads

Published

2018-05-25

How to Cite

Jia, R. (2018). Wireless Sensor Networks Topology Model Based on Energy Consumption and Life Cycle. International Journal of Online and Biomedical Engineering (iJOE), 14(05), pp. 81–92. https://doi.org/10.3991/ijoe.v14i05.8642

Issue

Section

Papers