RT journal article
T1 An Analytical Model Based on Population Processes to Characterize Data Dissemination in 5G Opportunistic Networks
A1 Hernández-Orallo, Enrique
A1 Murillo Arcila, Marina
A1 Cano, Juan-Carlos
A1 T. Calafate, Carlos
A1 Conejero, J.A.
A1 Manzoni, Pietro
A2 Matemáticas
K1 5G mobile communication
K1 Analytical models
K1 Opportunistic networks
K1 Contact-based Messaging
K1 Performance Evaluation
AB The scarcity of bandwidth due to the explosive growth of mobile devices in 5G makes the  offloading messaging workload to WiFi devices that use opportunistic connections, a very promising solution. Communications in mobile opportunistic networks take place upon the establishment of ephemeral contacts among mobile nodes using direct communication. In this paper we propose an analytical model based on population processes to evaluate data dissemination considering several parameters such as user density, contact rate, and the number of fixed nodes. From this model we obtain closed-form expressions for determining the diffusion time, the network coverage and the waiting time. Newer 5G wireless technologies like WiGig can offer multi-gigabit speeds, low latency, and security-protected connectivity between nearby devices. We therefore focus our work on the impact of high-speed and short-range wireless communications technologies for data dissemination in mobile opportunistic networks. Moreover, we test whether the coexistence with a fixed infrastructure can improve content dissemination, and thus justify its additional cost. Our results show that, when user density is high, the diffusion is mainly performed through the opportunistic contacts between mobile nodes, and that the diffusion coverage is close to 100\%. Moreover, the diffusion is fast enough to dynamically update the information among all the participating members, so users do not need to get closer to fixed spots for receiving updated information.
PB IEEE
SN 2169-3536
YR 2018
FD 2018
LK http://hdl.handle.net/10498/35422
UL http://hdl.handle.net/10498/35422
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026