Realistic Simulation for Body Area and Body-To-Body Networks.
In this paper, we present an accurate and realistic simulation for body area networks (BAN) and body-to-body networks (BBN) using deterministic and semi-deterministic approaches. First, in the semi-deterministic approach, a real-time measurement campaign is performed, which is further characterized through statistical analysis. It is able to generate link-correlated and time-varying realistic traces (i.e., with consistent mobility patterns) for on-body and body-to-body shadowing and fading, including body orientations and rotations, by means of stochastic channel models. The full deterministic approach is particularly targeted to enhance IEEE 802.15.6 proposed channel models by introducing space and time variations (i.e., dynamic distances) through biomechanical modeling. In addition, it helps to accurately model the radio link by identifying the link types and corresponding path loss factors for line of sight (LOS) and non-line of sight (NLOS). This approach is particularly important for links that vary over time due to mobility. It is also important to add that the communication and protocol stack, including the physical (PHY), medium access control (MAC) and networking models, is developed for BAN and BBN, and the IEEE 802.15.6 compliance standard is provided as a benchmark for future research works of the community. Finally, the two approaches are compared in terms of the successful packet delivery ratio, packet delay and energy efficiency. The results show that the semi-deterministic approach is the best option; however, for the diversity of the mobility patterns and scenarios applicable, biomechanical modeling and the deterministic approach are better choices.
Qatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park (QSTP), P.O. Box 210531 Doha, Qatar. mahtaba@qmic.com.
Muhammad Mahtab
MM
Alam
Qatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park (QSTP), P.O. Box 210531 Doha, Qatar. elyesb@qmic.com.
Elyes
E
Ben Hamida
Qatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park (QSTP), P.O. Box 210531 Doha, Qatar. dhafera@qmic.com.
Dhafer
D
Ben Arbia
CEA-LETI, Minatec Campus, 17 rue des Martyrs, 38054 Grenoble, France. mickael.maman@cea.fr.
Mickael
M
Maman
CEA-LETI, Minatec Campus, 17 rue des Martyrs, 38054 Grenoble, France. Francesco.MANI@cea.fr.
Francesco
F
Mani
CEA-LETI, Minatec Campus, 17 rue des Martyrs, 38054 Grenoble, France. benoit.denis@cea.fr.
Benoit
B
Denis
CEA-LETI, Minatec Campus, 17 rue des Martyrs, 38054 Grenoble, France. raffaele.derrico@cea.fr.
Raffaele
R
D'Errico
D000465:Algorithms; D001696:Biomechanical Phenomena; D003195:Computer Communication Networks; D018594:Human Body; D006801:Humans; D008962:Models, Theoretical; D018670:Monitoring, Ambulatory / Q000379:methods; D013686:Telemetry / Q000379:methods*; D059015:Wireless Technology
IEEE 802.15.6 Standard; accurate mobility and radio link modeling; body area networks (BAN); body-to-body networks (BBN); deterministic channel and mobility modeling; realistic simulation; semi-deterministic channel modeling