Self-organizing topology for energy-efficient ad-hoc communication networks of mobile devices

Indushree Banerjee*, Martijn Warnier, Frances M.T. Brazier

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)
64 Downloads (Pure)


When physical communication network infrastructures fail, infrastructure-less communication networks such as mobile ad-hoc networks (MANET), can provide an alternative. This, however, requires MANETs to be adaptable to dynamic contexts characterized by the changing density and mobility of devices and availability of energy sources. To address this challenge, this paper proposes a decentralized context-adaptive topology control protocol. The protocol consists of three algorithms and uses preferential attachment based on the energy availability of devices to form a loop-free scale-free adaptive topology for an ad-hoc communication network. The proposed protocol has a number of advantages. First, it is adaptive to the environment, hence applicable in scenarios where the number of participating mobile devices and their availability of energy resources is always changing. Second, it is energy-efficient through changes in the topology. This means it can be flexibly combined with different routing protocols. Third, the protocol requires no changes on the hardware level. This means it can be implemented on all current phones, without any recalls or investments in hardware changes. The evaluation of the protocol in a simulated environment confirms the feasibility of creating and maintaining a self-adaptive ad-hoc communication network, consisting of multitudes of mobile devices for reliable communication in a dynamic context.

Original languageEnglish
Article number7
JournalComplex Adaptive Systems Modeling
Issue number1
Publication statusPublished - 2020


  • Context-adaptive
  • Energy efficiency
  • Mobile ad-hoc networks
  • Preferential attachment
  • Self-adaptive
  • Self-organized
  • Topology control and management


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