A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

Jacob Abegunde, Hannan Xiao, William Spring

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
74 Downloads (Pure)

Abstract

The current trend in developing smart technology for the Internet of Things (IoT) has motivated a lot of research interest in optimizing data transmission or minimizing energy consumption, but with little evidence of proposals for achieving both objectives in a single model. Using the concept of game theory, we develop a new MAC protocol for IEEE 802.15.4 and IoT networks in which we formulate a novel expression for the players' utility function and establish a stable Nash equilibrium (NE) for the game. The proposed IEEE 802.15.4 MAC protocol is modeled as a smart game in which analytical expressions are derived for channel access probability, data transmission probability, and energy used. These analytical expressions are used in formulating an optimization problem (OP) that maximizes data transmission and minimizes energy consumption by nodes. The analysis and simulation results suggest that the proposed scheme is scalable and achieves better performance in terms of data transmission, energy-efficiency, and longevity, when compared with the default IEEE 802.15.4 access mechanism.

Original languageEnglish
Pages (from-to)528-543
Number of pages16
JournalIEEE Internet of Things Journal
Volume7
Issue number1
Early online date24 Oct 2019
DOIs
Publication statusPublished - 12 Jan 2020

Keywords

  • IEEE 802.15.4
  • MAC
  • Game Theory
  • IoT
  • Optimization
  • Energy Aware
  • Internet of Things (IoT)
  • optimization
  • game theory
  • Energy aware

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