Abstract:
Device-to-Device (D2D) communication model employs device-centric wireless connectivity. D2D
maintains reliability of links, enhances spectrum utilization and energy consumption. Hence, it is expected to play an
important role in 5th Generation (5G) mobile networks. However, D2D incurs challenges in resources management,
and device discovery. This paper improves D2D performance by redefining and developing its clustering and
communication models. Also, a context adaptive device proximity discovery technique is presented. The proposed
proximity model uses several factors for accurate device measurements, this includes Received Signal Strength
Indicator (RSSI), network density and distance between participating devices. An intensive evaluation and comparison
study was conducted. Results have confirmed that proposed D2D achieved an improved performance comparing to
similar models by reducing overall end-to-end (E2E) delay and improving packet delivery ratio (PDR) in the network.
During simulation scenarios, average PDR achieved was 93.2% and average E2E delay experienced was 2.9 ms.