An energy consumption model for WiFi direct based D2D communications

Muhammad Usman, Muhammad Rizwan Asghar, Imran Shafique Ansari, Marwa Qaraqe, Fabrizio Granelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


WiFi direct is a variant of Infrastructure mode WiFi, which is designed to enable direct Device-to-Device (D2D) communications between proximity devices. This new technology enables various proximity-based services such as social networking, multimedia content distribution, cellular traffic offloading, Internet of Things (IoT), and mission critical communications. However, energy consumption of battery-constrained devices remains a major concern in all the aforementioned applications. In this paper, we model energy consumption of the WiFi direct protocol, starting from device discovery to actual data transmissions for intra group D2D communications. We simulate a content distribution scenario in Matlab and analyze our model for the energy consumption of the devices. We argue that the energy spent in device discovery becomes significant in the case of small data sizes. In particular, we find that smaller data sizes, such as 100KB, cause the equal amount of energy to spend in both device discovery and data transmission phases, even when the device discovery time is very small.
Original languageEnglish
Title of host publication2018 IEEE Global Communications Conference (GLOBECOM)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538647271
ISBN (Print)9781538647288
Publication statusPublished - 21 Feb 2019
Event 2018 IEEE Global Communications Conference - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018 (Link to conference website)

Publication series

ISSN (Print)1930-529X
ISSN (Electronic)2576-6813


Conference 2018 IEEE Global Communications Conference
Abbreviated titleIEEE GLOBECOM 2018
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Internet address


  • D2D communications
  • energy efficiency
  • WiFi direct
  • device discovery
  • energy model
  • 5G networks
  • proximity based services


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