Energy efficient fault tolerant topology control for IoT using variable k-connectivity

Mitsumasa Ota*, Ryuichi Takahashi, Yoshiaki Fukazawa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter


In wireless IoT networks, when each node communicates with maximum power, power consumption increases unnecessary. Therefore, the transmission power of each node is adjusted using topology control. Because topology control decreases the number of edges between nodes, the fault tolerance may decline. One solution is to employ fault tolerant topology control using k-connectivity. Existing fault-tolerant topology control assumes that a network is constructed for one domain and the environment has a fixed k value. With a fixed k value, extra links are prepared, and power consumption increases. On the other hand, since various communications are shared in an IoT environment, the connectivity requirements change. Consequently, setting the k value for each pair of nodes according to the importance of data can eliminate extra links and reduce power consumption. Herein a method is proposed to realize topology control using a variable k value. To obtain a solution by the genetic algorithm, we propose an encoding scheme and define a fitness function. Simulation experiments demonstrate that the proposed method can construct a more power-efficient topology than the existing topology control method.

Original languageEnglish
Title of host publicationGreen Energy and Technology
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages13
Publication statusPublished - 2020

Publication series

NameGreen Energy and Technology
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537


  • Fault tolerant network
  • Genetic algorithm
  • Internet of things
  • IoT gateway
  • Topology control
  • Wireless sensor network
  • k-connected network

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Management, Monitoring, Policy and Law
  • Industrial and Manufacturing Engineering


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